Computer Networking
A Top-Down Approach
Seventh Edition
James F. Kurose
University of Massachusetts, Amherst
Keith W. Ross
NYU and NYU Shanghai
BostonColumbus Indianapolis New York San Francisco Hoboken Amsterdam Cape Town Dubai London Madrid Milan Munich Paris Montréal Toronto Delhi Mexico City São Paulo Sydney Hong Kong Seoul Singapore Taipei Tokyo
Vice President, Editorial Director, ECS: Marcia Horton Acquisitions Editor: Matt Goldstein
Editorial Assistant: Kristy Alaura
Vice President of Marketing: Christy Lesko
Director of Field Marketing: Tim Galligan
Product Marketing Manager: Bram Van Kempen
Field Marketing Manager: Demetrius Hall
Marketing Assistant: Jon Bryant
Director of Product Management: Erin Gregg
Team Lead, Program and Project Management: Scott Disanno
Program Manager: Joanne Manning and Carole Snyder
Project Manager: Katrina Ostler, Ostler Editorial, Inc.
Senior Specialist, Program Planning and Support: Maura Zaldivar-Garcia
Cover Designer: Joyce Wells
Manager, Rights and Permissions: Ben Ferrini
Project Manager, Rights and Permissions: Jenny Hoffman, Aptara Corporation
Inventory Manager: Ann Lam
Cover Image: Marc Gutierrez/Getty Images
Media Project Manager: Steve Wright
Composition: Cenveo Publishing Services
Printer/Binder: Edwards Brothers Malloy
Cover and Insert Printer: Phoenix Color/ Hagerstown
Credits and acknowledgments borrowed from other sources and reproduced, with permission, in this textbook appear on appropriate page within text.
Copyright © 2017, 2013, 2010 Pearson Education, Inc. All rights reserved. Manufactured in the United States of America. This publication is protected by Copyright, and permission should be obtained from the publisher prior to any prohibited reproduction, storage in a retrieval system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording, or likewise. For information regarding permissions, request forms and the appropriate contacts within the Pearson Education Global Rights & Permissions Department, please visit www.pearsoned.com/permissions/. Many of the designations by manufacturers and seller to distinguish their products are claimed as trademarks. Where those designations appear in this book, and the publisher was aware of a trademark claim, the designations have been printed in initial caps or all caps.
Library of Congress Cataloging-in-Publication Data
Names: Kurose, James F. | Ross, Keith W., 1956-
Title: Computer networking: a top-down approach / James F. Kurose, University of Massachusetts, Amherst, Keith W. Ross, NYU and NYU Shanghai.
Description: Seventh edition. | Hoboken, New Jersey: Pearson, [2017] | Includes bibliographical references and index.
Identifiers: LCCN 2016004976 | ISBN 9780133594140 | ISBN 0133594149 Subjects: LCSH: Internet. | Computer networks.
Classification: LCC TK5105.875.I57 K88 2017 | DDC 004.6-dc23
LC record available at http://lccn.loc.gov/2016004976
ISBN-10: 0-13-359414-9 ISBN-13: 978-0-13-359414-0
About the Authors
Jim Kurose
Jim Kurose is a Distinguished University Professor of Computer Science at the University of Massachusetts, Amherst. He is currently on leave from the University of Massachusetts, serving as an Assistant Director at the US National Science Foundation, where he leads the Directorate of Computer and Information Science and Engineering.
Dr. Kurose has received a number of recognitions for his educational activities including Outstanding Teacher Awards from the National Technological University (eight times), the University of Massachusetts, and the Northeast Association of Graduate Schools. He received the IEEE Taylor Booth Education Medal and was recognized for his leadership of Massachusetts’ Commonwealth Information Technology Initiative. He has won several conference best paper awards and received the IEEE Infocom Achievement Award and the ACM Sigcomm Test of Time Award.
Dr. Kurose is a former Editor-in-Chief of IEEE Transactions on Communications and of IEEE/ACM Transactions on Networking. He has served as Technical Program co-Chair for IEEE Infocom, ACM SIGCOMM, ACM Internet Measurement Conference, and ACM SIGMETRICS. He is a Fellow of the IEEE and the ACM. His research interests include network protocols and architecture, network measurement, multimedia communication, and modeling and performance evaluation. He holds a PhD in Computer Science from Columbia University.
Keith Ross
Keith Ross is the Dean of Engineering and Computer Science at NYU Shanghai and the Leonard J. Shustek Chair Professor in the Computer Science and Engineering Department at NYU. Previously he was at University of Pennsylvania (13 years), Eurecom Institute (5 years) and Polytechnic University (10 years). He received a B.S.E.E from Tufts University, a M.S.E.E. from Columbia University, and a Ph.D. in Computer and Control Engineering from The University of Michigan. Keith Ross is also the co-founder and original CEO of Wimba, which develops online multimedia applications for e-learning and was acquired by Blackboard in 2010.
Professor Ross’s research interests are in privacy, social networks, peer-to-peer networking, Internet measurement, content distribution networks, and stochastic modeling. He is an ACM Fellow, an IEEE Fellow, recipient of the Infocom 2009 Best Paper Award, and recipient of 2011 and 2008 Best Paper Awards for Multimedia Communications (awarded by IEEE Communications Society). He has served on numerous journal editorial boards and conference program committees, including IEEE/ACM Transactions on Networking, ACM SIGCOMM, ACM CoNext, and ACM Internet Measurement Conference. He also has served as an advisor to the Federal Trade Commission on P2P file sharing.
To Julie and our three precious ones—Chris, Charlie, and Nina
JFK
A big THANKS to my professors, colleagues, and students all over the world.
KWR
Preface
Welcome to the seventh edition of Computer Networking: A Top-Down Approach. Since the publication of the first edition 16 years ago, our book has been adopted for use at many hundreds of colleges and universities, translated into 14 languages, and used by over one hundred thousand students and practitioners worldwide. We’ve heard from many of these readers and have been overwhelmed by the positive response.
What’s New in the Seventh Edition?
We think one important reason for this success has been that our book continues to offer a fresh and timely approach to computer networking instruction. We’ve made changes in this seventh edition, but we’ve also kept unchanged what we believe (and the instructors and students who have used our book have confirmed) to be the most important aspects of this book: its top-down approach, its focus on the Internet and a modern treatment of computer networking, its attention to both principles and practice, and its accessible style and approach toward learning about computer networking. Nevertheless, the seventh edition has been revised and updated substantially.
Long-time readers of our book will notice that for the first time since this text was published, we’ve changed the organization of the chapters themselves. The network layer, which had been previously covered in a single chapter, is now covered in Chapter 4 (which focuses on the so-called “data plane” component of the network layer) and Chapter 5 (which focuses on the network layer’s “control plane”). This expanded coverage of the network layer reflects the swift rise in importance of software-defined networking (SDN), arguably the most important and exciting advance in networking in decades. Although a relatively recent innovation, SDN has been rapidly adopted in practice—so much so that it’s already hard to imagine an introduction to modern computer networking that doesn’t cover SDN. The topic of network management, previously covered in Chapter 9, has now been folded into the new Chapter 5. As always, we’ve also updated many other sections of the text to reflect recent changes in the dynamic field of networking since the sixth edition. As always, material that has been retired from the printed text can always be found on this book’s Companion Website. The most important updates are the following:
Chapter 1 has been updated to reflect the ever-growing reach and use of the Internet.
Chapter 2, which covers the application layer, has been significantly updated. We’ve removed the material on the FTP protocol and distributed hash tables to make room for a new section on application-level video streaming and content distribution networks, together with Netflix and YouTube case studies. The
socket programming sections have been updated from Python 2 to Python 3.
Chapter 3, which covers the transport layer, has been modestly updated. The material on asynchronous transport mode (ATM) networks has been replaced by more modern material on the Internet’s explicit congestion notification (ECN), which teaches the same principles.
Chapter 4 covers the “data plane” component of the network layer—the per-router forwarding function that determine how a packet arriving on one of a router’s input links is forwarded to one of that router’s output links. We updated the material on traditional Internet forwarding found in all previous editions, and added material on packet scheduling. We’ve also added a new section on generalized forwarding, as practiced in SDN. There are also numerous updates throughout the chapter. Material on multicast and broadcast communication has been removed to make way for the new material.
In Chapter 5, we cover the control plane functions of the network layer—the network-wide logic that controls how a datagram is routed along an end-to-end path of routers from the source host to the destination host. As in previous editions, we cover routing algorithms, as well as routing protocols (with an updated treatment of BGP) used in today’s Internet. We’ve added a significant new section on the SDN control plane, where routing and other functions are implemented in so-called SDN controllers.
Chapter 6, which now covers the link layer, has an updated treatment of Ethernet, and of data center networking.
Chapter 7, which covers wireless and mobile networking, contains updated material on 802.11 (so-called “WiFi) networks and cellular networks, including 4G and LTE.
Chapter 8, which covers network security and was extensively updated in the sixth edition, has only
modest updates in this seventh edition.
Chapter 9, on multimedia networking, is now slightly “thinner” than in the sixth edition, as material on video streaming and content distribution networks has been moved to Chapter 2, and material on packet scheduling has been incorporated into Chapter 4.
Significant new material involving end-of-chapter problems has been added. As with all previous editions, homework problems have been revised, added, and removed.
As always, our aim in creating this new edition of our book is to continue to provide a focused and modern treatment of computer networking, emphasizing both principles and practice.
Audience
This textbook is for a first course on computer networking. It can be used in both computer science and electrical engineering departments. In terms of programming languages, the book assumes only that the student has experience with C, C++, Java, or Python (and even then only in a few places). Although this book is more precise and analytical than many other introductory computer networking texts, it rarely uses any mathematical concepts that are not taught in high school. We have made a deliberate effort to avoid using any advanced calculus, probability, or stochastic process concepts (although we’ve included some homework problems for students with this advanced background). The book is therefore appropriate for undergraduate courses and for first-year graduate courses. It should also be useful to practitioners in the telecommunications industry.
What Is Unique About This Textbook?
The subject of computer networking is enormously complex, involving many concepts, protocols, and technologies that are woven together in an intricate manner. To cope with this scope and complexity, many computer networking texts are often organized around the “layers” of a network architecture. With a layered organization, students can see through the complexity of computer networking—they learn about the distinct concepts and protocols in one part of the architecture while seeing the big picture of how all parts fit together. From a pedagogical perspective, our personal experience has been that such a layered approach indeed works well. Nevertheless, we have found that the traditional approach of teaching—bottom up; that is, from the physical layer towards the application layer—is not the best approach for a modern course on computer networking.
A Top-Down Approach
Our book broke new ground 16 years ago by treating networking in a top-down manner—that is, by
beginning at the application layer and working its way down toward the physical layer. The feedback we received from teachers and students alike have confirmed that this top-down approach has many advantages and does indeed work well pedagogically. First, it places emphasis on the application layer (a “high growth area” in networking). Indeed, many of the recent revolutions in computer networking—including the Web, peer-to-peer file sharing, and media streaming—have taken place at the application layer. An early emphasis on application-layer issues differs from the approaches taken in most other texts, which have only a small amount of material on network applications, their requirements, application-layer paradigms (e.g., client-server and peer-to-peer), and application programming interfaces. Second, our experience as instructors (and that
of many instructors who have used this text) has been that teaching networking applications near the beginning of the course is a powerful motivational tool. Students are thrilled to learn about how networking
applications work—applications such as e-mail and the Web, which most students use on a daily basis. Once a student understands the applications, the student can then understand the network services needed to support these applications. The student can then, in turn, examine the various ways in which such services might be provided and implemented in the lower layers. Covering applications early thus provides motivation for the remainder of the text.
Third, a top-down approach enables instructors to introduce network application development at an early stage. Students not only see how popular applications and protocols work, but also learn how easy it is to create their own network applications and application-level protocols. With the top-down approach, students get early exposure to the notions of socket programming, service models, and protocols—important concepts that resurface in all subsequent layers. By providing socket programming examples in Python, we highlight the central ideas without confusing students with complex code. Undergraduates in electrical engineering and computer science should not have difficulty following the Python code.
An Internet Focus
Although we dropped the phrase “Featuring the Internet” from the title of this book with the fourth edition, this doesn’t mean that we dropped our focus on the Internet. Indeed, nothing could be further from the case! Instead, since the Internet has become so pervasive, we felt that any networking textbook must have a significant focus on the Internet, and thus this phrase was somewhat unnecessary. We continue to use the Internet’s architecture and protocols as primary vehicles for studying fundamental computer networking concepts. Of course, we also include concepts and protocols from other network architectures. But the spotlight is clearly on the Internet, a fact reflected in our organizing the book around the Internet’s five-layer architecture: the application, transport, network, link, and physical layers.
Another benefit of spotlighting the Internet is that most computer science and electrical engineering students are eager to learn about the Internet and its protocols. They know that the Internet has been a revolutionary and disruptive technology and can see that it is profoundly changing our world. Given the enormous relevance of the Internet, students are naturally curious about what is “under the hood.” Thus, it is easy for an instructor to get students excited about basic principles when using the Internet as the guiding focus.
Teaching Networking Principles
Two of the unique features of the book—its top-down approach and its focus on the Internet—have appeared in the titles of our book. If we could have squeezed a third phrase into the subtitle, it would have contained the word principles. The field of networking is now mature enough that a number of fundamentally important issues can be identified. For example, in the transport layer, the fundamental issues include reliable communication over an unreliable network layer, connection establishment/ teardown and handshaking, congestion and flow control, and multiplexing. Three fundamentally important network-layer issues are determining “good” paths between two routers, interconnecting a large number of heterogeneous networks, and managing the complexity of a modern network. In the link layer, a fundamental problem is sharing a multiple access channel. In network security, techniques for providing confidentiality, authentication, and message integrity are all based on cryptographic fundamentals. This text identifies fundamental networking issues and studies approaches towards addressing these issues. The student learning these principles will gain knowledge with a long “shelf life”—long after today’s network standards and protocols have become obsolete, the principles they embody will remain important and relevant. We believe that the combination of using the Internet to get the student’s foot in the door and then emphasizing fundamental issues and solution approaches will allow the student to
quickly understand just about any networking technology.
The Website
Each new copy of this textbook includes twelve months of access to a Companion Website for all book readers at http://www.pearsonhighered.com/cs-resources/, which includes:
Interactive learning material. The book’s Companion Website contains VideoNotes—video
presentations of important topics throughout the book done by the authors, as well as walkthroughs of solutions to problems similar to those at the end of the chapter. We’ve seeded the Web site with VideoNotes and online problems for Chapters 1 through 5 and will continue to actively add and update
this material over time. As in earlier editions, the Web site contains the interactive Java applets that animate many key networking concepts. The site also has interactive quizzes that permit students to check their basic understanding of the subject matter. Professors can integrate these interactive features into their lectures or use them as mini labs.
Additional technical material. As we have added new material in each edition of our book, we’ve had to remove coverage of some existing topics to keep the book at manageable length. For example, to make room for the new material in this edition, we’ve removed material on FTP, distributed hash tables, and multicasting, Material that appeared in earlier editions of the text is still of interest, and thus can be found on the book’s Web site.
Programming assignments. The Web site also provides a number of detailed programming assignments, which include building a multithreaded Web server, building an e-mail client with a GUI interface, programming the sender and receiver sides of a reliable data transport protocol, programming a
distributed routing algorithm, and more.
Wireshark labs. One’s understanding of network protocols can be greatly deepened by seeing them in action. The Web site provides numerous Wireshark assignments that enable students to actually observe the sequence of messages exchanged between two protocol entities. The Web site includes separate Wireshark labs on HTTP, DNS, TCP, UDP, IP, ICMP, Ethernet, ARP, WiFi, SSL, and on tracing all protocols involved in satisfying a request to fetch a Web page. We’ll continue to add new labs over time.
In addition to the Companion Website, the authors maintain a public Web site, http://gaia.cs.umass.edu/kurose_ross/interactive, containing interactive exercises that create (and present solutions for) problems similar to selected end-of-chapter problems. Since students can generate (and view solutions for) an unlimited number of similar problem instances, they can work until the material is truly mastered.
Pedagogical Features
We have each been teaching computer networking for more than 30 years. Together, we bring more than 60 years of teaching experience to this text, during which time we have taught many thousands of students. We have also been active researchers in computer networking during this time. (In fact, Jim and Keith first met each other as master’s students in a computer networking course taught by Mischa Schwartz in 1979 at Columbia University.) We think all this gives us a good perspective on where networking has been and where it is likely to go in the future. Nevertheless, we have resisted temptations to bias the material in this book towards our own pet research projects. We figure you can visit our personal Web sites if you are interested in our research. Thus, this book is about modern computer networking—it is about contemporary protocols and technologies as well as the underlying principles behind these protocols and technologies. We also believe
that learning (and teaching!) about networking can be fun. A sense of humor, use of analogies, and real-world examples in this book will hopefully make this material more fun.
Supplements for Instructors
We provide a complete supplements package to aid instructors in teaching this course. This material can be accessed from Pearson’s Instructor Resource Center (http://www.pearsonhighered.com/irc). Visit the Instructor Resource Center for information about accessing these instructor’s supplements.
PowerPoint® slides. We provide PowerPoint slides for all nine chapters. The slides have been completely updated with this seventh edition. The slides cover each chapter in detail. They use graphics and
animations (rather than relying only on monotonous text bullets) to make the slides interesting and visually appealing. We provide the original PowerPoint slides so you can customize them to best suit your own teaching needs. Some of these slides have been contributed by other instructors who have taught from our book.
Homework solutions. We provide a solutions manual for the homework problems in the text, programming assignments, and Wireshark labs. As noted earlier, we’ve introduced many new homework problems in
the first six chapters of the book.
Chapter Dependencies
The first chapter of this text presents a self-contained overview of computer networking. Introducing many key concepts and terminology, this chapter sets the stage for the rest of the book. All of the other chapters directly depend on this first chapter. After completing Chapter 1, we recommend instructors cover Chapters 2 through 6 in sequence, following our top-down philosophy. Each of these five chapters leverages material from the preceding chapters. After completing the first six chapters, the instructor has quite a bit of flexibility. There are no interdependencies among the last three chapters, so they can be taught in any order. However, each of the last three chapters depends on the material in the first six chapters. Many instructors first teach the first six chapters and then teach one of the last three chapters for “dessert.”
One Final Note: We’d Love to Hear from You
We encourage students and instructors to e-mail us with any comments they might have about our book. It’s been wonderful for us to hear from so many instructors and students from around the world about our first five editions. We’ve incorporated many of these suggestions into later editions of the book. We also encourage instructors to send us new homework problems (and solutions) that would complement the current homework problems. We’ll post these on the instructor-only portion of the Web site. We also encourage instructors and students to create new Java applets that illustrate the concepts and protocols in this book. If you have an applet that you think would be appropriate for this text, please submit it to us. If the applet (including notation and terminology) is appropriate, we’ll be happy to include it on the text’s Web site, with an appropriate reference to the applet’s authors.
So, as the saying goes, “Keep those cards and letters coming!” Seriously, please do continue to send us interesting URLs, point out typos, disagree with any of our claims, and tell us what works and what doesn’t work. Tell us what you think should or shouldn’t be included in the next edition. Send your e-mail to [email protected] and [email protected].
Acknowledgments
Since we began writing this book in 1996, many people have given us invaluable help and have been influential in shaping our thoughts on how to best organize and teach a networking course. We want to say A BIG THANKS to everyone who has helped us from the earliest first drafts of this book, up to this seventh edition. We are also very thankful to the many hundreds of readers from around the world—students, faculty, practitioners—who have sent us thoughts and comments on earlier editions of the book and suggestions for future editions of the book. Special thanks go out to:
Al Aho (Columbia University)
Hisham Al-Mubaid (University of Houston-Clear Lake)
Pratima Akkunoor (Arizona State University)
Paul Amer (University of Delaware)
Shamiul Azom (Arizona State University)
Lichun Bao (University of California at Irvine)
Paul Barford (University of Wisconsin)
Bobby Bhattacharjee (University of Maryland)
Steven Bellovin (Columbia University)
Pravin Bhagwat (Wibhu)
Supratik Bhattacharyya (previously at Sprint)
Ernst Biersack (Eurécom Institute)
Shahid Bokhari (University of Engineering & Technology, Lahore) Jean Bolot (Technicolor Research)
Daniel Brushteyn (former University of Pennsylvania student)
Ken Calvert (University of Kentucky)
Evandro Cantu (Federal University of Santa Catarina)
Jeff Case (SNMP Research International)
Jeff Chaltas (Sprint)
Vinton Cerf (Google)
Byung Kyu Choi (Michigan Technological University)
Bram Cohen (BitTorrent, Inc.)
Constantine Coutras (Pace University)
John Daigle (University of Mississippi)
Edmundo A. de Souza e Silva (Federal University of Rio de Janeiro)
Philippe Decuetos (Eurécom Institute)
Christophe Diot (Technicolor Research)
Prithula Dhunghel (Akamai)
Deborah Estrin (University of California, Los Angeles) Michalis Faloutsos (University of California at Riverside) Wu-chi Feng (Oregon Graduate Institute)
Sally Floyd (ICIR, University of California at Berkeley) Paul Francis (Max Planck Institute)
David Fullager (Netflix)
Lixin Gao (University of Massachusetts)
JJ Garcia-Luna-Aceves (University of California at Santa Cruz) Mario Gerla (University of California at Los Angeles)
David Goodman (NYU-Poly)
Yang Guo (Alcatel/Lucent Bell Labs)
Tim Griffin (Cambridge University)
Max Hailperin (Gustavus Adolphus College)
Bruce Harvey (Florida A&M University, Florida State University) Carl Hauser (Washington State University)
Rachelle Heller (George Washington University)
Phillipp Hoschka (INRIA/W3C)
Wen Hsin (Park University)
Albert Huang (former University of Pennsylvania student) Cheng Huang (Microsoft Research)
Esther A. Hughes (Virginia Commonwealth University)
Van Jacobson (Xerox PARC)
Pinak Jain (former NYU-Poly student)
Jobin James (University of California at Riverside)
Sugih Jamin (University of Michigan)
Shivkumar Kalyanaraman (IBM Research, India)
Jussi Kangasharju (University of Helsinki)
Sneha Kasera (University of Utah)
Parviz Kermani (formerly of IBM Research)
Hyojin Kim (former University of Pennsylvania student) Leonard Kleinrock (University of California at Los Angeles) David Kotz (Dartmouth College)
Beshan Kulapala (Arizona State University)
Rakesh Kumar (Bloomberg)
Miguel A. Labrador (University of South Florida)
Simon Lam (University of Texas)
Steve Lai (Ohio State University)
Tom LaPorta (Penn State University)
Tim-Berners Lee (World Wide Web Consortium)
Arnaud Legout (INRIA)
Lee Leitner (Drexel University)
Brian Levine (University of Massachusetts)
Chunchun Li (former NYU-Poly student)
Yong Liu (NYU-Poly)
William Liang (former University of Pennsylvania student) Willis Marti (Texas A&M University)
Nick McKeown (Stanford University)
Josh McKinzie (Park University)
Deep Medhi (University of Missouri, Kansas City)
Bob Metcalfe (International Data Group)
Sue Moon (KAIST)
Jenni Moyer (Comcast)
Erich Nahum (IBM Research)
Christos Papadopoulos (Colorado Sate University)
Craig Partridge (BBN Technologies)
Radia Perlman (Intel)
Jitendra Padhye (Microsoft Research)
Vern Paxson (University of California at Berkeley)
Kevin Phillips (Sprint)
George Polyzos (Athens University of Economics and Business) Sriram Rajagopalan (Arizona State University)
Ramachandran Ramjee (Microsoft Research)
Ken Reek (Rochester Institute of Technology)
Martin Reisslein (Arizona State University)
Jennifer Rexford (Princeton University)
Leon Reznik (Rochester Institute of Technology)
Pablo Rodrigez (Telefonica)
Sumit Roy (University of Washington)
Dan Rubenstein (Columbia University)
Avi Rubin (Johns Hopkins University)
Douglas Salane (John Jay College)
Despina Saparilla (Cisco Systems)
John Schanz (Comcast)
Henning Schulzrinne (Columbia University)
Mischa Schwartz (Columbia University)
Ardash Sethi (University of Delaware)
Harish Sethu (Drexel University)
K. Sam Shanmugan (University of Kansas)
Prashant Shenoy (University of Massachusetts)
Clay Shields (Georgetown University)
Subin Shrestra (University of Pennsylvania)
Bojie Shu (former NYU-Poly student)
Mihail L. Sichitiu (NC State University)
Peter Steenkiste (Carnegie Mellon University)
Tatsuya Suda (University of California at Irvine)
Kin Sun Tam (State University of New York at Albany) Don Towsley (University of Massachusetts)
David Turner (California State University, San Bernardino) Nitin Vaidya (University of Illinois)
Michele Weigle (Clemson University)
David Wetherall (University of Washington) Ira Winston (University of Pennsylvania)
Di Wu (Sun Yat-sen University)
Shirley Wynn (NYU-Poly)
Raj Yavatkar (Intel)
Yechiam Yemini (Columbia University)
Dian Yu (NYU Shanghai)
Ming Yu (State University of New York at Binghamton) Ellen Zegura (Georgia Institute of Technology)
Honggang Zhang (Suffolk University)
Hui Zhang (Carnegie Mellon University)
Lixia Zhang (University of California at Los Angeles)
Meng Zhang (former NYU-Poly student)
Shuchun Zhang (former University of Pennsylvania student) Xiaodong Zhang (Ohio State University)
ZhiLi Zhang (University of Minnesota)
Phil Zimmermann (independent consultant)
Mike Zink (University of Massachusetts)
Cliff C. Zou (University of Central Florida)
We also want to thank the entire Pearson team—in particular, Matt Goldstein and Joanne Manning—who have done an absolutely outstanding job on this seventh edition (and who have put up with two very finicky authors who seem congenitally unable to meet deadlines!). Thanks also to our artists, Janet Theurer and Patrice
Rossi Calkin, for their work on the beautiful figures in this and earlier editions of our book, and to Katie Ostler and her team at Cenveo for their wonderful production work on this edition. Finally, a most special thanks go to our previous two editors at Addison-Wesley—Michael Hirsch and Susan Hartman. This book would not be what it is (and may well not have been at all) without their graceful management, constant encouragement, nearly infinite patience, good humor, and perseverance.
Table of Contents
Chapter 1 Computer Networks and the Internet 1
1.1 What Is the Internet? 2
1.1.1 A Nuts-and-Bolts Description 2
1.1.2 A Services Description 5 1.1.3 What Is a Protocol? 7
1.2 The Network Edge 9 1.2.1 Access Networks 12
1.2.2 Physical Media 18
1.3 The Network Core 21 1.3.1 Packet Switching 23
1.3.2 Circuit Switching 27
1.3.3 A Network of Networks 31
1.4 Delay, Loss, and Throughput in Packet-Switched Networks 35 1.4.1 Overview of Delay in Packet-Switched Networks 35
1.4.2 Queuing Delay and Packet Loss 39 1.4.3 End-to-End Delay 41
1.4.4 Throughput in Computer Networks 43
1.5 Protocol Layers and Their Service Models 47 1.5.1 Layered Architecture 47
1.5.2 Encapsulation 53
1.6 Networks Under Attack 55
1.7 History of Computer Networking and the Internet 59
1.7.1 The Development of Packet Switching: 1961–1972 59
1.7.2 Proprietary Networks and Internetworking: 1972–1980 60 1.7.3 A Proliferation of Networks: 1980–1990 62
1.7.4 The Internet Explosion: The 1990s 63
1.7.5 The New Millennium 64
1.8 Summary 65
Homework Problems and Questions 67 Wireshark Lab 77
Interview: Leonard Kleinrock 79
Chapter 2 Application Layer 83
2.1 Principles of Network Applications 84 2.1.1 Network Application Architectures 86
2.1.2 Processes Communicating 88
2.1.3 Transport Services Available to Applications 90 2.1.4 Transport Services Provided by the Internet 93 2.1.5 Application-Layer Protocols 96
2.1.6 Network Applications Covered in This Book 97
2.2 The Web and HTTP 98 2.2.1 Overview of HTTP 98
2.2.2 Non-Persistent and Persistent Connections 100 2.2.3 HTTP Message Format 103
2.2.4 User-Server Interaction: Cookies 108
2.2.5 Web Caching 110
2.3 Electronic Mail in the Internet 116 2.3.1 SMTP 118
2.3.2 Comparison with HTTP 121 2.3.3 Mail Message Formats 121 2.3.4 Mail Access Protocols 122
2.4 DNS—The Internet’s Directory Service 126 2.4.1 Services Provided by DNS 127
2.4.2 Overview of How DNS Works 129 2.4.3 DNS Records and Messages 135
2.5 Peer-to-Peer Applications 140 2.5.1 P2P File Distribution 140
2.6 Video Streaming and Content Distribution Networks 147 2.6.1 Internet Video 148
2.6.2 HTTP Streaming and DASH 148
2.6.3 Content Distribution Networks 149
2.6.4 Case Studies: Netflix, YouTube, and Kankan 153
2.7 Socket Programming: Creating Network Applications 157 2.7.1 Socket Programming with UDP 159
2.7.2 Socket Programming with TCP 164 2.8 Summary 170
Homework Problems and Questions 171 Socket Programming Assignments 180 Wireshark Labs: HTTP, DNS 182 Interview: Marc Andreessen 184
Chapter 3 Transport Layer 187
3.1 Introduction and Transport-Layer Services 188
3.1.1 Relationship Between Transport and Network Layers 188
3.1.2 Overview of the Transport Layer in the Internet 191
3.2 Multiplexing and Demultiplexing 193
3.3 Connectionless Transport: UDP 200 3.3.1 UDP Segment Structure 204
3.3.2 UDP Checksum 204
3.4 Principles of Reliable Data Transfer 206
3.4.1 Building a Reliable Data Transfer Protocol 208
3.4.2 Pipelined Reliable Data Transfer Protocols 217 3.4.3 Go-Back-N (GBN) 221
3.4.4 Selective Repeat (SR) 226
3.5 Connection-Oriented Transport: TCP 233 3.5.1 The TCP Connection 233
3.5.2 TCP Segment Structure 236
3.5.3 Round-Trip Time Estimation and Timeout 241 3.5.4 Reliable Data Transfer 244
3.5.5 Flow Control 252
3.5.6 TCP Connection Management 255
3.6 Principles of Congestion Control 261
3.6.1 The Causes and the Costs of Congestion 261 3.6.2 Approaches to Congestion Control 268
3.7 TCP Congestion Control 269 3.7.1 Fairness 279
3.7.2 Explicit Congestion Notification (ECN): Network-assisted Congestion Control 282 3.8 Summary 284
Homework Problems and Questions 286 Programming Assignments 301 Wireshark Labs: Exploring TCP, UDP 302 Interview: Van Jacobson 303
Chapter 4 The Network Layer: Data Plane 305
4.1 Overview of Network Layer 306
4.1.1 Forwarding and Routing: The Network Data and Control Planes 306
4.1.2 Network Service Models 311
4.2 What’s Inside a Router? 313
4.2.1 Input Port Processing and Destination-Based Forwarding 316
4.2.2 Switching 319
4.2.3 Output Port Processing 321
4.2.4 Where Does Queuing Occur? 321 4.2.5 Packet Scheduling 325
4.3 The Internet Protocol (IP): IPv4, Addressing, IPv6, and More 329 4.3.1 IPv4 Datagram Format 330
4.3.2 IPv4 Datagram Fragmentation 332
4.3.3 IPv4 Addressing 334
4.3.4 Network Address Translation (NAT) 345 4.3.5 IPv6 348
4.4 Generalized Forwarding and SDN 354 4.4.1 Match 356
4.4.2 Action 358
4.4.3 OpenFlow Examples of Match-plus-action in Action 358
4.5 Summary 361
Homework Problems and Questions 361 Wireshark Lab 370
Interview: Vinton G. Cerf 371
Chapter 5 The Network Layer: Control Plane 373
5.1 Introduction 374
5.2 Routing Algorithms 376
5.2.1 The Link-State (LS) Routing Algorithm 379
5.2.2 The Distance-Vector (DV) Routing Algorithm 384
5.3 Intra-AS Routing in the Internet: OSPF 391
5.4 Routing Among the ISPs: BGP 395 5.4.1 The Role of BGP 395
5.4.2 Advertising BGP Route Information 396 5.4.3 Determining the Best Routes 398
5.4.4 IP-Anycast 402
5.4.5 Routing Policy 403
5.4.6 Putting the Pieces Together: Obtaining Internet Presence 406
5.5 The SDN Control Plane 407
5.5.1 The SDN Control Plane: SDN Controller and SDN Control Applications 410
5.5.2 OpenFlow Protocol 412
5.5.3 Data and Control Plane Interaction: An Example 414 5.5.4 SDN: Past and Future 415
5.6 ICMP: The Internet Control Message Protocol 419
5.7 Network Management and SNMP 421
5.7.1 The Network Management Framework 422
5.7.2 The Simple Network Management Protocol (SNMP) 424 5.8 Summary 426
Homework Problems and Questions 427 Socket Programming Assignment 433 Programming Assignment 434 Wireshark Lab 435
Interview: Jennifer Rexford 436
Chapter 6 The Link Layer and LANs 439
6.1 Introduction to the Link Layer 440
6.1.1 The Services Provided by the Link Layer 442
6.1.2 Where Is the Link Layer Implemented? 443
6.2 Error-Detection and -Correction Techniques 444 6.2.1 Parity Checks 446
6.2.2 Checksumming Methods 448
6.2.3 Cyclic Redundancy Check (CRC) 449
6.3 Multiple Access Links and Protocols 451 6.3.1 Channel Partitioning Protocols 453
6.3.2 Random Access Protocols 455
6.3.3 Taking-Turns Protocols 464
6.3.4 DOCSIS: The Link-Layer Protocol for Cable Internet Access 465
6.4 Switched Local Area Networks 467
6.4.1 Link-Layer Addressing and ARP 468
6.4.2 Ethernet 474
6.4.3 Link-Layer Switches 481
6.4.4 Virtual Local Area Networks (VLANs) 487
6.5 Link Virtualization: A Network as a Link Layer 491 6.5.1 Multiprotocol Label Switching (MPLS) 492
6.6 Data Center Networking 495
6.7 Retrospective: A Day in the Life of a Web Page Request 500 6.7.1 Getting Started: DHCP, UDP, IP, and Ethernet 500
6.7.2 Still Getting Started: DNS and ARP 502
6.7.3 Still Getting Started: Intra-Domain Routing to the DNS Server 503 6.7.4 Web Client-Server Interaction: TCP and HTTP 504
6.8 Summary 506
Homework Problems and Questions 507 Wireshark Lab 515
Interview: Simon S. Lam 516
Chapter 7 Wireless and Mobile Networks 519
7.1 Introduction 520
7.2 Wireless Links and Network Characteristics 525 7.2.1 CDMA 528
7.3 WiFi: 802.11 Wireless LANs 532 7.3.1 The 802.11 Architecture 533
7.3.2 The 802.11 MAC Protocol 537
7.3.3 The IEEE 802.11 Frame 542
7.3.4 Mobility in the Same IP Subnet 546
7.3.5 Advanced Features in 802.11 547
7.3.6 Personal Area Networks: Bluetooth and Zigbee 548
7.4 Cellular Internet Access 551
7.4.1 An Overview of Cellular Network Architecture 551
7.4.2 3G Cellular Data Networks: Extending the Internet to Cellular Subscribers 554 7.4.3 On to 4G: LTE 557
7.5 Mobility Management: Principles 560 7.5.1 Addressing 562
7.5.2 Routing to a Mobile Node 564
7.6 Mobile IP 570
7.7 Managing Mobility in Cellular Networks 574 7.7.1 Routing Calls to a Mobile User 576
7.7.2 Handoffs in GSM 577
7.8 Wireless and Mobility: Impact on Higher-Layer Protocols 580 7.9 Summary 582
Homework Problems and Questions 583 Wireshark Lab 588
Interview: Deborah Estrin 589
Chapter 8 Security in Computer Networks 593
8.1 What Is Network Security? 594
8.2 Principles of Cryptography 596
8.2.1 Symmetric Key Cryptography 598
8.2.2 Public Key Encryption 604
8.3 Message Integrity and Digital Signatures 610 8.3.1 Cryptographic Hash Functions 611
8.3.2 Message Authentication Code 613 8.3.3 Digital Signatures 614
8.4 End-Point Authentication 621
8.4.1 Authentication Protocol ap1.0 622
8.4.2 Authentication Protocol ap2.0 622 8.4.3 Authentication Protocol ap3.0 623 8.4.4 Authentication Protocol ap3.1 623 8.4.5 Authentication Protocol ap4.0 624
8.5 Securing E-Mail 626 8.5.1 Secure E-Mail 627
8.5.2 PGP 630
8.6 Securing TCP Connections: SSL 631 8.6.1 The Big Picture 632
8.6.2 A More Complete Picture 635
8.7 Network-Layer Security: IPsec and Virtual Private Networks 637 8.7.1 IPsec and Virtual Private Networks (VPNs) 638
8.7.2 The AH and ESP Protocols 640 8.7.3 Security Associations 640
8.7.4 The IPsec Datagram 641
8.7.5 IKE: Key Management in IPsec 645
8.8 Securing Wireless LANs 646
8.8.1 Wired Equivalent Privacy (WEP) 646
8.8.2 IEEE 802.11i 648
8.9 Operational Security: Firewalls and Intrusion Detection Systems 651 8.9.1 Firewalls 651
8.9.2 Intrusion Detection Systems 659 8.10 Summary 662
Homework Problems and Questions 664 Wireshark Lab 672
IPsec Lab 672
Interview: Steven M. Bellovin 673
Chapter 9 Multimedia Networking 675
9.1 Multimedia Networking Applications 676 9.1.1 Properties of Video 676
9.1.2 Properties of Audio 677
9.1.3 Types of Multimedia Network Applications 679
9.2 Streaming Stored Video 681 9.2.1 UDP Streaming 683
9.2.2 HTTP Streaming 684
9.3 Voice-over-IP 688
9.3.1 Limitations of the Best-Effort IP Service 688
9.3.2 Removing Jitter at the Receiver for Audio 691 9.3.3 Recovering from Packet Loss 694
9.3.4 Case Study: VoIP with Skype 697
9.4 Protocols for Real-Time Conversational Applications 700 9.4.1 RTP 700
9.4.2 SIP 703
9.5 Network Support for Multimedia 709
9.5.1 Dimensioning Best-Effort Networks 711
9.5.2 Providing Multiple Classes of Service 712 9.5.3 Diffserv 719
9.5.4 Per-Connection Quality-of-Service (QoS) Guarantees: Resource Reservation and Call Admission 723
9.6 Summary 726
Homework Problems and Questions 727 Programming Assignment 735 Interview: Henning Schulzrinne 736
References 741 Index 783
Chapter 1 Computer Networks and the Internet
Today’s Internet is arguably the largest engineered system ever created by mankind, with hundreds of millions of connected computers, communication links, and switches; with billions of users who connect via laptops, tablets, and smartphones; and with an array of new Internet-connected “things” including game consoles, surveillance systems, watches, eye glasses, thermostats, body scales, and cars. Given that the Internet is so large and has so many diverse components and uses, is there any hope of understanding how it works? Are there guiding principles and structure that can provide a foundation for understanding such an amazingly large and complex system? And if so, is it possible that it actually
could be both interesting and fun to learn about computer networks? Fortunately, the answer to all of these questions is a resounding YES! Indeed, it’s our aim in this book to provide you with a modern
introduction to the dynamic field of computer networking, giving you the principles and practical insights you’ll need to understand not only today’s networks, but tomorrow’s as well.
This first chapter presents a broad overview of computer networking and the Internet. Our goal here is to paint a broad picture and set the context for the rest of this book, to see the forest through the trees. We’ll cover a lot of ground in this introductory chapter and discuss a lot of the pieces of a computer network, without losing sight of the big picture.
We’ll structure our overview of computer networks in this chapter as follows. After introducing some basic terminology and concepts, we’ll first examine the basic hardware and software components that make up a network. We’ll begin at the network’s edge and look at the end systems and network applications running in the network. We’ll then explore the core of a computer network, examining the links and the switches that transport data, as well as the access networks and physical media that connect end systems to the network core. We’ll learn that the Internet is a network of networks, and we’ll learn how these networks connect with each other.
After having completed this overview of the edge and core of a computer network, we’ll take the broader and more abstract view in the second half of this chapter. We’ll examine delay, loss, and throughput of data in a computer network and provide simple quantitative models for end-to-end throughput and delay: models that take into account transmission, propagation, and queuing delays. We’ll then introduce some of the key architectural principles in computer networking, namely, protocol layering and service models. We’ll also learn that computer networks are vulnerable to many different types of attacks; we’ll survey
some of these attacks and consider how computer networks can be made more secure. Finally, we’ll close this chapter with a brief history of computer networking.
1.1 What Is the Internet?
In this book, we’ll use the public Internet, a specific computer network, as our principal vehicle for
discussing computer networks and their protocols. But what is the Internet? There are a couple of ways to answer this question. First, we can describe the nuts and bolts of the Internet, that is, the basic
hardware and software components that make up the Internet. Second, we can describe the Internet in terms of a networking infrastructure that provides services to distributed applications. Let’s begin with
the nuts-and-bolts description, using Figure 1.1 to illustrate our discussion. 1.1.1 A Nuts-and-Bolts Description
The Internet is a computer network that interconnects billions of computing devices throughout the world. Not too long ago, these computing devices were primarily traditional desktop PCs, Linux workstations, and so-called servers that store and transmit information such as Web pages and e-mail messages. Increasingly, however, nontraditional Internet “things” such as laptops, smartphones, tablets, TVs, gaming consoles, thermostats, home security systems, home appliances, watches, eye glasses,
cars, traffic control systems and more are being connected to the Internet. Indeed, the term computer network is beginning to sound a bit dated, given the many nontraditional devices that are being hooked
up to the Internet. In Internet jargon, all of these devices are called hosts or end systems. By some estimates, in 2015 there were about 5 billion devices connected to the Internet, and the number will
reach 25 billion by 2020 [Gartner 2014]. It is estimated that in 2015 there were over 3.2 billion Internet users worldwide, approximately 40% of the world population [ITU 2015].
Figure 1.1 Some pieces of the Internet
End systems are connected together by a network of communication links and packet switches. We’ll see in Section 1.2 that there are many types of communication links, which are made up of
different types of physical media, including coaxial cable, copper wire, optical fiber, and radio spectrum. Different links can transmit data at different rates, with the transmission rate of a link measured in bits/second. When one end system has data to send to another end system, the sending end system segments the data and adds header bytes to each segment. The resulting packages of information, known as packets in the jargon of computer networks, are then sent through the network to the destination end system, where they are reassembled into the original data.
A packet switch takes a packet arriving on one of its incoming communication links and forwards that packet on one of its outgoing communication links. Packet switches come in many shapes and flavors, but the two most prominent types in today’s Internet are routers and link-layer switches. Both types of switches forward packets toward their ultimate destinations. Link-layer switches are typically used in access networks, while routers are typically used in the network core. The sequence of communication links and packet switches traversed by a packet from the sending end system to the receiving end system is known as a route or path through the network. Cisco predicts annual global IP traffic will pass
the zettabyte (1021 bytes) threshold by the end of 2016, and will reach 2 zettabytes per year by 2019 [Cisco VNI 2015].
Packet-switched networks (which transport packets) are in many ways similar to transportation networks of highways, roads, and intersections (which transport vehicles). Consider, for example, a factory that needs to move a large amount of cargo to some destination warehouse located thousands of kilometers away. At the factory, the cargo is segmented and loaded into a fleet of trucks. Each of the trucks then independently travels through the network of highways, roads, and intersections to the destination warehouse. At the destination warehouse, the cargo is unloaded and grouped with the rest of the cargo arriving from the same shipment. Thus, in many ways, packets are analogous to trucks, communication links are analogous to highways and roads, packet switches are analogous to intersections, and end systems are analogous to buildings. Just as a truck takes a path through the transportation network, a packet takes a path through a computer network.
End systems access the Internet through Internet Service Providers (ISPs), including residential ISPs such as local cable or telephone companies; corporate ISPs; university ISPs; ISPs that provide WiFi access in airports, hotels, coffee shops, and other public places; and cellular data ISPs, providing mobile access to our smartphones and other devices. Each ISP is in itself a network of packet switches and communication links. ISPs provide a variety of types of network access to the end systems, including residential broadband access such as cable modem or DSL, high-speed local area network access, and mobile wireless access. ISPs also provide Internet access to content providers, connecting Web sites and video servers directly to the Internet. The Internet is all about connecting end systems to each other, so the ISPs that provide access to end systems must also be interconnected. These lower-tier ISPs are interconnected through national and international upper-tier ISPs such as Level 3 Communications, AT&T, Sprint, and NTT. An upper-tier ISP consists of high-speed routers interconnected with high-speed fiber-optic links. Each ISP network, whether upper-tier or lower-tier, is
managed independently, runs the IP protocol (see below), and conforms to certain naming and address conventions. We’ll examine ISPs and their interconnection more closely in Section 1.3.
End systems, packet switches, and other pieces of the Internet run protocols that control the sending and receiving of information within the Internet. The Transmission Control Protocol (TCP) and the Internet Protocol (IP) are two of the most important protocols in the Internet. The IP protocol specifies the format of the packets that are sent and received among routers and end systems. The Internet’s principal protocols are collectively known as TCP/IP. We’ll begin looking into protocols in this introductory chapter. But that’s just a start—much of this book is concerned with computer network protocols!
Given the importance of protocols to the Internet, it’s important that everyone agree on what each and every protocol does, so that people can create systems and products that interoperate. This is where standards come into play. Internet standards are developed by the Internet Engineering Task Force
(IETF) [IETF 2016]. The IETF standards documents are called requests for comments (RFCs). RFCs started out as general requests for comments (hence the name) to resolve network and protocol design
problems that faced the precursor to the Internet [Allman 2011]. RFCs tend to be quite technical and detailed. They define protocols such as TCP, IP, HTTP (for the Web), and SMTP (for e-mail). There are
currently more than 7,000 RFCs. Other bodies also specify standards for network components, most
notably for network links. The IEEE 802 LAN/MAN Standards Committee [IEEE 802 2016], for example, specifies the Ethernet and wireless WiFi standards.
1.1.2 A Services Description
Our discussion above has identified many of the pieces that make up the Internet. But we can also describe the Internet from an entirely different angle—namely, as an infrastructure that provides
services to applications. In addition to traditional applications such as e-mail and Web surfing, Internet applications include mobile smartphone and tablet applications, including Internet messaging, mapping
with real-time road-traffic information, music streaming from the cloud, movie and television streaming, online social networks, video conferencing, multi-person games, and location-based recommendation systems. The applications are said to be distributed applications, since they involve multiple end systems that exchange data with each other. Importantly, Internet applications run on end systems— they do not run in the packet switches in the network core. Although packet switches facilitate the exchange of data among end systems, they are not concerned with the application that is the source or sink of data.
Let’s explore a little more what we mean by an infrastructure that provides services to applications. To this end, suppose you have an exciting new idea for a distributed Internet application, one that may greatly benefit humanity or one that may simply make you rich and famous. How might you go about
transforming this idea into an actual Internet application? Because applications run on end systems, you are going to need to write programs that run on the end systems. You might, for example, write your programs in Java, C, or Python. Now, because you are developing a distributed Internet application, the programs running on the different end systems will need to send data to each other. And here we get to a central issue—one that leads to the alternative way of describing the Internet as a platform for applications. How does one program running on one end system instruct the Internet to deliver data to another program running on another end system?
End systems attached to the Internet provide a socket interface that specifies how a program running on one end system asks the Internet infrastructure to deliver data to a specific destination program running on another end system. This Internet socket interface is a set of rules that the sending program must follow so that the Internet can deliver the data to the destination program. We’ll discuss the
Internet socket interface in detail in Chapter 2. For now, let’s draw upon a simple analogy, one that we will frequently use in this book. Suppose Alice wants to send a letter to Bob using the postal service.
Alice, of course, can’t just write the letter (the data) and drop the letter out her window. Instead, the postal service requires that Alice put the letter in an envelope; write Bob’s full name, address, and zip code in the center of the envelope; seal the envelope; put a stamp in the upper-right-hand corner of the envelope; and finally, drop the envelope into an official postal service mailbox. Thus, the postal service has its own “postal service interface,” or set of rules, that Alice must follow to have the postal service deliver her letter to Bob. In a similar manner, the Internet has a socket interface that the program sending data must follow to have the Internet deliver the data to the program that will receive the data.
The postal service, of course, provides more than one service to its customers. It provides express delivery, reception confirmation, ordinary use, and many more services. In a similar manner, the Internet provides multiple services to its applications. When you develop an Internet application, you too must choose one of the Internet’s services for your application. We’ll describe the Internet’s services in
Chapter 2.
We have just given two descriptions of the Internet; one in terms of its hardware and software components, the other in terms of an infrastructure for providing services to distributed applications. But perhaps you are still confused as to what the Internet is. What are packet switching and TCP/IP? What are routers? What kinds of communication links are present in the Internet? What is a distributed application? How can a thermostat or body scale be attached to the Internet? If you feel a bit overwhelmed by all of this now, don’t worry—the purpose of this book is to introduce you to both the nuts and bolts of the Internet and the principles that govern how and why it works. We’ll explain these important terms and questions in the following sections and chapters.
1.1.3 What Is a Protocol?
Now that we’ve got a bit of a feel for what the Internet is, let’s consider another important buzzword in computer networking: protocol. What is a protocol? What does a protocol do?
A Human Analogy
It is probably easiest to understand the notion of a computer network protocol by first considering some human analogies, since we humans execute protocols all of the time. Consider what you do when you
want to ask someone for the time of day. A typical exchange is shown in Figure 1.2. Human protocol (or good manners, at least) dictates that one first offer a greeting (the first “Hi” in Figure 1.2) to initiate
communication with someone else. The typical response to a “Hi” is a returned “Hi” message. Implicitly, one then takes a cordial “Hi” response as an indication that one can proceed and ask for the time of day. A different response to the initial “Hi” (such as “Don’t bother me!” or “I don’t speak English,” or some unprintable reply) might
Figure 1.2 A human protocol and a computer network protocol
indicate an unwillingness or inability to communicate. In this case, the human protocol would be not to ask for the time of day. Sometimes one gets no response at all to a question, in which case one typically
gives up asking that person for the time. Note that in our human protocol, there are specific messages
we send, and specific actions we take in response to the received reply messages or other events (such as no reply within some given amount of time). Clearly, transmitted and received messages, and actions
taken when these messages are sent or received or other events occur, play a central role in a human protocol. If people run different protocols (for example, if one person has manners but the other does not, or if one understands the concept of time and the other does not) the protocols do not interoperate and no useful work can be accomplished. The same is true in networking—it takes two (or more) communicating entities running the same protocol in order to accomplish a task.
Let’s consider a second human analogy. Suppose you’re in a college class (a computer networking class, for example!). The teacher is droning on about protocols and you’re confused. The teacher stops to ask, “Are there any questions?” (a message that is transmitted to, and received by, all students who are not sleeping). You raise your hand (transmitting an implicit message to the teacher). Your teacher acknowledges you with a smile, saying “Yes . . .” (a transmitted message encouraging you to ask your
question—teachers love to be asked questions), and you then ask your question (that is, transmit your message to your teacher). Your teacher hears your question (receives your question message) and
answers (transmits a reply to you). Once again, we see that the transmission and receipt of messages, and a set of conventional actions taken when these messages are sent and received, are at the heart of this question-and-answer protocol.
Network Protocols
A network protocol is similar to a human protocol, except that the entities exchanging messages and taking actions are hardware or software components of some device (for example, computer, smartphone, tablet, router, or other network-capable device). All activity in the Internet that involves two or more communicating remote entities is governed by a protocol. For example, hardware-implemented protocols in two physically connected computers control the flow of bits on the “wire” between the two network interface cards; congestion-control protocols in end systems control the rate at which packets are transmitted between sender and receiver; protocols in routers determine a packet’s path from source to destination. Protocols are running everywhere in the Internet, and consequently much of this book is about computer network protocols.
As an example of a computer network protocol with which you are probably familiar, consider what happens when you make a request to a Web server, that is, when you type the URL of a Web page into
your Web browser. The scenario is illustrated in the right half of Figure 1.2. First, your computer will send a connection request message to the Web server and wait for a reply. The Web server will
eventually receive your connection request message and return a connection reply message. Knowing that it is now OK to request the Web document, your computer then sends the name of the Web page it wants to fetch from that Web server in a GET message. Finally, the Web server returns the Web page (file) to your computer.
Given the human and networking examples above, the exchange of messages and the actions taken when these messages are sent and received are the key defining elements of a protocol:
A protocol defines the format and the order of messages exchanged between two or more communicating entities, as well as the actions taken on the transmission and/or receipt of a message or other event.
The Internet, and computer networks in general, make extensive use of protocols. Different protocols are used to accomplish different communication tasks. As you read through this book, you will learn that some protocols are simple and straightforward, while others are complex and intellectually deep. Mastering the field of computer networking is equivalent to understanding the what, why, and how of networking protocols.
1.2 The Network Edge
In the previous section we presented a high-level overview of the Internet and networking protocols. We are now going to delve a bit more deeply into the components of a computer network (and the Internet, in particular). We begin in this section at the edge of a network and look at the components with which we are most familiar—namely, the computers, smartphones and other devices that we use on a daily basis. In the next section we’ll move from the network edge to the network core and examine switching and routing in computer networks.
Recall from the previous section that in computer networking jargon, the computers and other devices connected to the Internet are often referred to as end systems. They are referred to as end systems
because they sit at the edge of the Internet, as shown in Figure 1.3. The Internet’s end systems include desktop computers (e.g., desktop PCs, Macs, and Linux boxes), servers (e.g., Web and e-mail servers),
and mobile devices (e.g., laptops, smartphones, and tablets). Furthermore, an increasing number of non-traditional “things” are being attached to the Internet as end systems (see the Case History feature).
End systems are also referred to as hosts because they host (that is, run) application programs such as a Web browser program, a Web server program, an e-mail client program, or an e-mail server program.
Throughout this book we will use the
Figure 1.3 End-system interaction
CASE HISTORY
THE INTERNET OF THINGS
Can you imagine a world in which just about everything is wirelessly connected to the Internet? A world in which most people, cars, bicycles, eye glasses, watches, toys, hospital equipment, home sensors, classrooms, video surveillance systems, atmospheric sensors, store-shelf
products, and pets are connected? This world of the Internet of Things (IoT) may actually be just around the corner.
By some estimates, as of 2015 there are already 5 billion things connected to the Internet, and
the number could reach 25 billion by 2020 [Gartner 2014]. These things include our smartphones, which already follow us around in our homes, offices, and cars, reporting our geo-
locations and usage data to our ISPs and Internet applications. But in addition to our smartphones, a wide-variety of non-traditional “things” are already available as products. For example, there are Internet-connected wearables, including watches (from Apple and many others) and eye glasses. Internet-connected glasses can, for example, upload everything we see to the cloud, allowing us to share our visual experiences with people around the world in real- time. There are Internet-connected things already available for the smart home, including Internet-connected thermostats that can be controlled remotely from our smartphones, and Internet-connected body scales, enabling us to graphically review the progress of our diets from our smartphones. There are Internet-connected toys, including dolls that recognize and interpret a child’s speech and respond appropriately.
The IoT offers potentially revolutionary benefits to users. But at the same time there are also huge security and privacy risks. For example, attackers, via the Internet, might be able to hack into IoT devices or into the servers collecting data from IoT devices. For example, an attacker could hijack an Internet-connected doll and talk directly with a child; or an attacker could hack into a database that stores personal health and activity information collected from wearable devices. These security and privacy concerns could undermine the consumer confidence necessary for the technologies to meet their full potential and may result in less widespread
adoption [FTC 2015].
terms hosts and end systems interchangeably; that is, host = end system. Hosts are sometimes further
divided into two categories: clients and servers. Informally, clients tend to be desktop and mobile PCs, smartphones, and so on, whereas servers tend to be more powerful machines that store and distribute Web pages, stream video, relay e-mail, and so on. Today, most of the servers from which we receive search results, e-mail, Web pages, and videos reside in large data centers. For example, Google has 50-100 data centers, including about 15 large centers, each with more than 100,000 servers.
1.2.1 Access Networks
Having considered the applications and end systems at the “edge of the network,” let’s next consider the access network—the network that physically connects an end system to the first router (also known as
the “edge router”) on a path from the end system to any other distant end system. Figure 1.4 shows several types of access
Figure 1.4 Access networks
networks with thick, shaded lines and the settings (home, enterprise, and wide-area mobile wireless) in which they are used.
Home Access: DSL, Cable, FTTH, Dial-Up, and Satellite
In developed countries as of 2014, more than 78 percent of the households have Internet access, with Korea, Netherlands, Finland, and Sweden leading the way with more than 80 percent of households
having Internet access, almost all via a high-speed broadband connection [ITU 2015]. Given this widespread use of home access networks let’s begin our overview of access networks by considering
how homes connect to the Internet.
Today, the two most prevalent types of broadband residential access are digital subscriber line (DSL) and cable. A residence typically obtains DSL Internet access from the same local telephone company (telco) that provides its wired local phone access. Thus, when DSL is used, a customer’s telco is also its
ISP. As shown in Figure 1.5, each customer’s DSL modem uses the existing telephone line (twisted- pair copper wire, which we’ll discuss in Section 1.2.2) to exchange data with a digital subscriber line
access multiplexer (DSLAM) located in the telco’s local central office (CO). The home’s DSL modem takes digital data and translates it to high-frequency tones for transmission over telephone wires to the CO; the analog signals from many such houses are translated back into digital format at the DSLAM.
The residential telephone line carries both data and traditional telephone signals simultaneously, which are encoded at different frequencies:
A high-speed downstream channel, in the 50 kHz to 1 MHz band A medium-speed upstream channel, in the 4 kHz to 50 kHz band An ordinary two-way telephone channel, in the 0 to 4 kHz band
This approach makes the single DSL link appear as if there were three separate links, so that a telephone call and an Internet connection can share the DSL link at the same time.
Figure 1.5 DSL Internet access
(We’ll describe this technique of frequency-division multiplexing in Section 1.3.1.) On the customer side, a splitter separates the data and telephone signals arriving to the home and forwards the data signal to
the DSL modem. On the telco side, in the CO, the DSLAM separates the data and phone signals and sends the data into the Internet. Hundreds or even thousands of households connect to a single DSLAM
[Dischinger 2007].
The DSL standards define multiple transmission rates, including 12 Mbps downstream and 1.8 Mbps
upstream [ITU 1999], and 55 Mbps downstream and 15 Mbps upstream [ITU 2006]. Because the downstream and upstream rates are different, the access is said to be asymmetric. The actual
downstream and upstream transmission rates achieved may be less than the rates noted above, as the DSL provider may purposefully limit a residential rate when tiered service (different rates, available at different prices) are offered. The maximum rate is also limited by the distance between the home and the CO, the gauge of the twisted-pair line and the degree of electrical interference. Engineers have expressly designed DSL for short distances between the home and the CO; generally, if the residence is not located within 5 to 10 miles of the CO, the residence must resort to an alternative form of Internet access.
While DSL makes use of the telco’s existing local telephone infrastructure, cable Internet access makes use of the cable television company’s existing cable television infrastructure. A residence obtains
cable Internet access from the same company that provides its cable television. As illustrated in Figure 1.6, fiber optics connect the cable head end to neighborhood-level junctions, from which traditional
coaxial cable is then used to reach individual houses and apartments. Each neighborhood junction typically supports 500 to 5,000 homes. Because both fiber and coaxial cable are employed in this system, it is often referred to as hybrid fiber coax (HFC).
Figure 1.6 A hybrid fiber-coaxial access network
Cable internet access requires special modems, called cable modems. As with a DSL modem, the cable
modem is typically an external device and connects to the home PC through an Ethernet port. (We will
discuss Ethernet in great detail in Chapter 6.) At the cable head end, the cable modem termination system (CMTS) serves a similar function as the DSL network’s DSLAM—turning the analog signal sent
from the cable modems in many downstream homes back into digital format. Cable modems divide the HFC network into two channels, a downstream and an upstream channel. As with DSL, access is typically asymmetric, with the downstream channel typically allocated a higher transmission rate than the upstream channel. The DOCSIS 2.0 standard defines downstream rates up to 42.8 Mbps and upstream rates of up to 30.7 Mbps. As in the case of DSL networks, the maximum achievable rate may not be realized due to lower contracted data rates or media impairments.
One important characteristic of cable Internet access is that it is a shared broadcast medium. In particular, every packet sent by the head end travels downstream on every link to every home and every packet sent by a home travels on the upstream channel to the head end. For this reason, if several users are simultaneously downloading a video file on the downstream channel, the actual rate at which each user receives its video file will be significantly lower than the aggregate cable downstream rate. On the other hand, if there are only a few active users and they are all Web surfing, then each of the users may actually receive Web pages at the full cable downstream rate, because the users will rarely request a Web page at exactly the same time. Because the upstream channel is also shared, a distributed multiple access protocol is needed to coordinate transmissions and avoid collisions. (We’ll discuss this
collision issue in some detail in Chapter 6.)
Although DSL and cable networks currently represent more than 85 percent of residential broadband
access in the United States, an up-and-coming technology that provides even higher speeds is fiber to the home (FTTH) [FTTH Council 2016]. As the name suggests, the FTTH concept is simple—provide
an optical fiber path from the CO directly to the home. Many countries today—including the UAE, South Korea, Hong Kong, Japan, Singapore, Taiwan, Lithuania, and Sweden—now have household
penetration rates exceeding 30% [FTTH Council 2016].
There are several competing technologies for optical distribution from the CO to the homes. The simplest optical distribution network is called direct fiber, with one fiber leaving the CO for each home. More commonly, each fiber leaving the central office is actually shared by many homes; it is not until the fiber gets relatively close to the homes that it is split into individual customer-specific fibers. There are two competing optical-distribution network architectures that perform this splitting: active optical networks (AONs) and passive optical networks (PONs). AON is essentially switched Ethernet, which is
discussed in Chapter 6.
Here, we briefly discuss PON, which is used in Verizon’s FIOS service. Figure 1.7 shows FTTH using
the PON distribution architecture. Each home has an optical network terminator (ONT), which is connected by dedicated optical fiber to a neighborhood splitter. The splitter combines a number of homes (typically less
Figure 1.7 FTTH Internet access
than 100) onto a single, shared optical fiber, which connects to an optical line terminator (OLT) in the telco’s CO. The OLT, providing conversion between optical and electrical signals, connects to the Internet via a telco router. In the home, users connect a home router (typically a wireless router) to the ONT and access the Internet via this home router. In the PON architecture, all packets sent from OLT to the splitter are replicated at the splitter (similar to a cable head end).
FTTH can potentially provide Internet access rates in the gigabits per second range. However, most FTTH ISPs provide different rate offerings, with the higher rates naturally costing more money. The average downstream speed of US FTTH customers was approximately 20 Mbps in 2011 (compared with 13 Mbps for cable access networks and less than 5 Mbps for DSL) [FTTH Council 2011b].
Two other access network technologies are also used to provide Internet access to the home. In locations where DSL, cable, and FTTH are not available (e.g., in some rural settings), a satellite link can be used to connect a residence to the Internet at speeds of more than 1 Mbps; StarBand and HughesNet are two such satellite access providers. Dial-up access over traditional phone lines is based on the same model as DSL—a home modem connects over a phone line to a modem in the ISP. Compared with DSL and other broadband access networks, dial-up access is excruciatingly slow at 56 kbps.
Access in the Enterprise (and the Home): Ethernet and WiFi
On corporate and university campuses, and increasingly in home settings, a local area network (LAN) is used to connect an end system to the edge router. Although there are many types of LAN technologies, Ethernet is by far the most prevalent access technology in corporate, university, and home networks. As
shown in Figure 1.8, Ethernet users use twisted-pair copper wire to connect to an Ethernet switch, a technology discussed in detail in Chapter 6. The Ethernet switch, or a network of such
Figure 1.8 Ethernet Internet access
interconnected switches, is then in turn connected into the larger Internet. With Ethernet access, users typically have 100 Mbps or 1 Gbps access to the Ethernet switch, whereas servers may have 1 Gbps or even 10 Gbps access.
Increasingly, however, people are accessing the Internet wirelessly from laptops, smartphones, tablets,
and other “things” (see earlier sidebar on “Internet of Things”). In a wireless LAN setting, wireless users transmit/receive packets to/from an access point that is connected into the enterprise’s network
(most likely using wired Ethernet), which in turn is connected to the wired Internet. A wireless LAN user must typically be within a few tens of meters of the access point. Wireless LAN access based on IEEE 802.11 technology, more colloquially known as WiFi, is now just about everywhere—universities, business offices, cafes, airports, homes, and even in airplanes. In many cities, one can stand on a street corner and be within range of ten or twenty base stations (for a browseable global map of 802.11 base stations that have been discovered and logged on a Web site by people who take great enjoyment in
doing such things, see [wigle.net 2016]). As discussed in detail in Chapter 7, 802.11 today provides a shared transmission rate of up to more than 100 Mbps.
Even though Ethernet and WiFi access networks were initially deployed in enterprise (corporate, university) settings, they have recently become relatively common components of home networks. Many homes combine broadband residential access (that is, cable modems or DSL) with these inexpensive
wireless LAN technologies to create powerful home networks [Edwards 2011]. Figure 1.9 shows a typical home network. This home network consists of a roaming laptop as well as a wired PC; a base
station (the wireless access point), which communicates with the wireless PC and other wireless devices in the home; a cable modem, providing broadband access to the Internet; and a router, which interconnects the base station and the stationary PC with the cable modem. This network allows household members to have broadband access to the Internet with one member roaming from the
kitchen to the backyard to the bedrooms.
Figure 1.9 A typical home network
Wide-Area Wireless Access: 3G and LTE
Increasingly, devices such as iPhones and Android devices are being used to message, share photos in social networks, watch movies, and stream music while on the run. These devices employ the same wireless infrastructure used for cellular telephony to send/receive packets through a base station that is operated by the cellular network provider. Unlike WiFi, a user need only be within a few tens of kilometers (as opposed to a few tens of meters) of the base station.
Telecommunications companies have made enormous investments in so-called third-generation (3G) wireless, which provides packet-switched wide-area wireless Internet access at speeds in excess of 1 Mbps. But even higher-speed wide-area access technologies—a fourth-generation (4G) of wide-area wireless networks—are already being deployed. LTE (for “Long-Term Evolution”—a candidate for Bad Acronym of the Year Award) has its roots in 3G technology, and can achieve rates in excess of 10 Mbps. LTE downstream rates of many tens of Mbps have been reported in commercial deployments. We’ll cover the basic principles of wireless networks and mobility, as well as WiFi, 3G, and LTE
technologies (and more!) in Chapter 7. 1.2.2 Physical Media
In the previous subsection, we gave an overview of some of the most important network access technologies in the Internet. As we described these technologies, we also indicated the physical media used. For example, we said that HFC uses a combination of fiber cable and coaxial cable. We said that DSL and Ethernet use copper wire. And we said that mobile access networks use the radio spectrum. In this subsection we provide a brief overview of these and other transmission media that are commonly used in the Internet.
In order to define what is meant by a physical medium, let us reflect on the brief life of a bit. Consider a bit traveling from one end system, through a series of links and routers, to another end system. This poor bit gets kicked around and transmitted many, many times! The source end system first transmits the bit, and shortly thereafter the first router in the series receives the bit; the first router then transmits the bit, and shortly thereafter the second router receives the bit; and so on. Thus our bit, when traveling from source to destination, passes through a series of transmitter-receiver pairs. For each transmitter- receiver pair, the bit is sent by propagating electromagnetic waves or optical pulses across a physical medium. The physical medium can take many shapes and forms and does not have to be of the same type for each transmitter-receiver pair along the path. Examples of physical media include twisted-pair copper wire, coaxial cable, multimode fiber-optic cable, terrestrial radio spectrum, and satellite radio spectrum. Physical media fall into two categories: guided media and unguided media. With guided media, the waves are guided along a solid medium, such as a fiber-optic cable, a twisted-pair copper wire, or a coaxial cable. With unguided media, the waves propagate in the atmosphere and in outer space, such as in a wireless LAN or a digital satellite channel.
But before we get into the characteristics of the various media types, let us say a few words about their costs. The actual cost of the physical link (copper wire, fiber-optic cable, and so on) is often relatively minor compared with other networking costs. In particular, the labor cost associated with the installation of the physical link can be orders of magnitude higher than the cost of the material. For this reason, many builders install twisted pair, optical fiber, and coaxial cable in every room in a building. Even if only one medium is initially used, there is a good chance that another medium could be used in the near future, and so money is saved by not having to lay additional wires in the future.
Twisted-Pair Copper Wire
The least expensive and most commonly used guided transmission medium is twisted-pair copper wire. For over a hundred years it has been used by telephone networks. In fact, more than 99 percent of the wired connections from the telephone handset to the local telephone switch use twisted-pair copper wire. Most of us have seen twisted pair in our homes (or those of our parents or grandparents!) and work environments. Twisted pair consists of two insulated copper wires, each about 1 mm thick, arranged in a regular spiral pattern. The wires are twisted together to reduce the electrical interference from similar pairs close by. Typically, a number of pairs are bundled together in a cable by wrapping the pairs in a protective shield. A wire pair constitutes a single communication link. Unshielded twisted pair (UTP) is commonly used for computer networks within a building, that is, for LANs. Data rates for LANs using twisted pair today range from 10 Mbps to 10 Gbps. The data rates that can be achieved depend on the thickness of the wire and the distance between transmitter and receiver.
When fiber-optic technology emerged in the 1980s, many people disparaged twisted pair because of its relatively low bit rates. Some people even felt that fiber-optic technology would completely replace twisted pair. But twisted pair did not give up so easily. Modern twisted-pair technology, such as category
6a cable, can achieve data rates of 10 Gbps for distances up to a hundred meters. In the end, twisted pair has emerged as the dominant solution for high-speed LAN networking.
As discussed earlier, twisted pair is also commonly used for residential Internet access. We saw that dial-up modem technology enables access at rates of up to 56 kbps over twisted pair. We also saw that DSL (digital subscriber line) technology has enabled residential users to access the Internet at tens of Mbps over twisted pair (when users live close to the ISP’s central office).
Coaxial Cable
Like twisted pair, coaxial cable consists of two copper conductors, but the two conductors are concentric rather than parallel. With this construction and special insulation and shielding, coaxial cable can achieve high data transmission rates. Coaxial cable is quite common in cable television systems. As we saw earlier, cable television systems have recently been coupled with cable modems to provide residential users with Internet access at rates of tens of Mbps. In cable television and cable Internet access, the transmitter shifts the digital signal to a specific frequency band, and the resulting analog signal is sent from the transmitter to one or more receivers. Coaxial cable can be used as a guided shared medium. Specifically, a number of end systems can be connected directly to the cable, with each of the end systems receiving whatever is sent by the other end systems.
Fiber Optics
An optical fiber is a thin, flexible medium that conducts pulses of light, with each pulse representing a bit. A single optical fiber can support tremendous bit rates, up to tens or even hundreds of gigabits per second. They are immune to electromagnetic interference, have very low signal attenuation up to 100 kilometers, and are very hard to tap. These characteristics have made fiber optics the preferred long- haul guided transmission media, particularly for overseas links. Many of the long-distance telephone networks in the United States and elsewhere now use fiber optics exclusively. Fiber optics is also prevalent in the backbone of the Internet. However, the high cost of optical devices—such as transmitters, receivers, and switches—has hindered their deployment for short-haul transport, such as in a LAN or into the home in a residential access network. The Optical Carrier (OC) standard link speeds
range from 51.8 Mbps to 39.8 Gbps; these specifications are often referred to as OC-n, where the link speed equals n ∞ 51.8 Mbps. Standards in use today include OC-1, OC-3, OC-12, OC-24, OC-48, OC-
96, OC-192, OC-768. [Mukherjee 2006, Ramaswami 2010] provide coverage of various aspects of optical networking.
Terrestrial Radio Channels
Radio channels carry signals in the electromagnetic spectrum. They are an attractive medium because they require no physical wire to be installed, can penetrate walls, provide connectivity to a mobile user,
and can potentially carry a signal for long distances. The characteristics of a radio channel depend significantly on the propagation environment and the distance over which a signal is to be carried. Environmental considerations determine path loss and shadow fading (which decrease the signal strength as the signal travels over a distance and around/through obstructing objects), multipath fading (due to signal reflection off of interfering objects), and interference (due to other transmissions and electromagnetic signals).
Terrestrial radio channels can be broadly classified into three groups: those that operate over very short distance (e.g., with one or two meters); those that operate in local areas, typically spanning from ten to a few hundred meters; and those that operate in the wide area, spanning tens of kilometers. Personal devices such as wireless headsets, keyboards, and medical devices operate over short distances; the
wireless LAN technologies described in Section 1.2.1 use local-area radio channels; the cellular access technologies use wide-area radio channels. We’ll discuss radio channels in detail in Chapter 7.
Satellite Radio Channels
A communication satellite links two or more Earth-based microwave transmitter/ receivers, known as ground stations. The satellite receives transmissions on one frequency band, regenerates the signal using a repeater (discussed below), and transmits the signal on another frequency. Two types of satellites are used in communications: geostationary satellites and low-earth orbiting (LEO)
satellites [Wiki Satellite 2016].
Geostationary satellites permanently remain above the same spot on Earth. This stationary presence is achieved by placing the satellite in orbit at 36,000 kilometers above Earth’s surface. This huge distance from ground station through satellite back to ground station introduces a substantial signal propagation delay of 280 milliseconds. Nevertheless, satellite links, which can operate at speeds of hundreds of Mbps, are often used in areas without access to DSL or cable-based Internet access.
LEO satellites are placed much closer to Earth and do not remain permanently above one spot on Earth. They rotate around Earth (just as the Moon does) and may communicate with each other, as well as with ground stations. To provide continuous coverage to an area, many satellites need to be placed in orbit. There are currently many low-altitude communication systems in development. LEO satellite technology may be used for Internet access sometime in the future.
1.3 The Network Core
Having examined the Internet’s edge, let us now delve more deeply inside the network core—the mesh
of packet switches and links that interconnects the Internet’s end systems. Figure 1.10 highlights the network core with thick, shaded lines.
Figure 1.10 The network core
1.3.1 Packet Switching
In a network application, end systems exchange messages with each other. Messages can contain anything the application designer wants. Messages may perform a control function (for example, the “Hi”
messages in our handshaking example in Figure 1.2) or can contain data, such as an e-mail message, a JPEG image, or an MP3 audio file. To send a message from a source end system to a destination end
system, the source breaks long messages into smaller chunks of data known as packets. Between source and destination, each packet travels through communication links and packet switches (for which there are two predominant types, routers and link-layer switches). Packets are transmitted over
each communication link at a rate equal to the full transmission rate of the link. So, if a source end system or a packet switch is sending a packet of L bits over a link with transmission rate R bits/sec, then the time to transmit the packet is L / R seconds.
Store-and-Forward Transmission
Most packet switches use store-and-forward transmission at the inputs to the links. Store-and-forward transmission means that the packet switch must receive the entire packet before it can begin to transmit the first bit of the packet onto the outbound link. To explore store-and-forward transmission in more detail, consider a simple network consisting of two end systems connected by a single router, as shown
in Figure 1.11. A router will typically have many incident links, since its job is to switch an incoming packet onto an outgoing link; in this simple example, the router has the rather simple task of transferring
a packet from one (input) link to the only other attached link. In this example, the source has three packets, each consisting of L bits, to send to the destination. At the snapshot of time shown in Figure
1.11, the source has transmitted some of packet 1, and the front of packet 1 has already arrived at the router. Because the router employs store-and-forwarding, at this instant of time, the router cannot
transmit the bits it has received; instead it must first buffer (i.e., “store”) the packet’s bits. Only after the
router has received all of the packet’s bits can it begin to transmit (i.e., “forward”) the packet onto the outbound link. To gain some insight into store-and-forward transmission, let’s now calculate the amount
of time that elapses from when the source begins to send the packet until the destination has received the entire packet. (Here we will ignore propagation delay—the time it takes for the bits to travel across
the wire at near the speed of light—which will be discussed in Section 1.4.) The source begins to transmit at time 0; at time L/R seconds, the source has transmitted the entire packet, and the entire
packet has been received and stored at the router (since there is no propagation delay). At time L/R seconds, since the router has just received the entire packet, it can begin to transmit the packet onto the
outbound link towards the destination; at time 2L/R, the router has transmitted the entire packet, and the
entire packet has been received by the destination. Thus, the total delay is 2L/R. If the
Figure 1.11 Store-and-forward packet switching
switch instead forwarded bits as soon as they arrive (without first receiving the entire packet), then the total delay would be L/R since bits are not held up at the router. But, as we will discuss in Section 1.4,
routers need to receive, store, and process the entire packet before forwarding.
Now let’s calculate the amount of time that elapses from when the source begins to send the first packet
until the destination has received all three packets. As before, at time L/R, the router begins to forward
the first packet. But also at time L/R the source will begin to send the second packet, since it has just
finished sending the entire first packet. Thus, at time 2L/R, the destination has received the first packet
and the router has received the second packet. Similarly, at time 3L/R, the destination has received the
first two packets and the router has received the third packet. Finally, at time 4L/R the destination has received all three packets!
Let’s now consider the general case of sending one packet from source to destination over a path
consisting of N links each of rate R (thus, there are N-1 routers between source and destination). Applying the same logic as above, we see that the end-to-end delay is:
dend-to-end=NLR
(1.1)
You may now want to try to determine what the delay would be for P packets sent over a series of N links.
Queuing Delays and Packet Loss
Each packet switch has multiple links attached to it. For each attached link, the packet switch has an output buffer (also called an output queue), which stores packets that the router is about to send into that link. The output buffers play a key role in packet switching. If an arriving packet needs to be transmitted onto a link but finds the link busy with the transmission of another packet, the arriving packet must wait in the output buffer. Thus, in addition to the store-and-forward delays, packets suffer output buffer queuing delays. These delays are variable and depend on the level of congestion in the network.
Since the amount of buffer space is finite, an
Figure 1.12 Packet switching
arriving packet may find that the buffer is completely full with other packets waiting for transmission. In this case, packet loss will occur—either the arriving packet or one of the already-queued packets will be dropped.
Figure 1.12 illustrates a simple packet-switched network. As in Figure 1.11, packets are represented by three-dimensional slabs. The width of a slab represents the number of bits in the packet. In this figure,
all packets have the same width and hence the same length. Suppose Hosts A and B are sending packets to Host E. Hosts A and B first send their packets along 100 Mbps Ethernet links to the first router. The router then directs these packets to the 15 Mbps link. If, during a short interval of time, the arrival rate of packets to the router (when converted to bits per second) exceeds 15 Mbps, congestion will occur at the router as packets queue in the link’s output buffer before being transmitted onto the link. For example, if Host A and B each send a burst of five packets back-to-back at the same time, then most of these packets will spend some time waiting in the queue. The situation is, in fact, entirely analogous to many common-day situations—for example, when we wait in line for a bank teller or wait in
front of a tollbooth. We’ll examine this queuing delay in more detail in Section 1.4.
Forwarding Tables and Routing Protocols
Earlier, we said that a router takes a packet arriving on one of its attached communication links and forwards that packet onto another one of its attached communication links. But how does the router determine which link it should forward the packet onto? Packet forwarding is actually done in different ways in different types of computer networks. Here, we briefly describe how it is done in the Internet.
In the Internet, every end system has an address called an IP address. When a source end system wants to send a packet to a destination end system, the source includes the destination’s IP address in the packet’s header. As with postal addresses, this address has a hierarchical structure. When a packet arrives at a router in the network, the router examines a portion of the packet’s destination address and forwards the packet to an adjacent router. More specifically, each router has a forwarding table that maps destination addresses (or portions of the destination addresses) to that router’s outbound links. When a packet arrives at a router, the router examines the address and searches its forwarding table, using this destination address, to find the appropriate outbound link. The router then directs the packet to this outbound link.
The end-to-end routing process is analogous to a car driver who does not use maps but instead prefers to ask for directions. For example, suppose Joe is driving from Philadelphia to 156 Lakeside Drive in Orlando, Florida. Joe first drives to his neighborhood gas station and asks how to get to 156 Lakeside Drive in Orlando, Florida. The gas station attendant extracts the Florida portion of the address and tells Joe that he needs to get onto the interstate highway I-95 South, which has an entrance just next to the gas station. He also tells Joe that once he enters Florida, he should ask someone else there. Joe then takes I-95 South until he gets to Jacksonville, Florida, at which point he asks another gas station attendant for directions. The attendant extracts the Orlando portion of the address and tells Joe that he should continue on I-95 to Daytona Beach and then ask someone else. In Daytona Beach, another gas station attendant also extracts the Orlando portion of the address and tells Joe that he should take I-4 directly to Orlando. Joe takes I-4 and gets off at the Orlando exit. Joe goes to another gas station attendant, and this time the attendant extracts the Lakeside Drive portion of the address and tells Joe the road he must follow to get to Lakeside Drive. Once Joe reaches Lakeside Drive, he asks a kid on a bicycle how to get to his destination. The kid extracts the 156 portion of the address and points to the house. Joe finally reaches his ultimate destination. In the above analogy, the gas station attendants and kids on bicycles are analogous to routers.
We just learned that a router uses a packet’s destination address to index a forwarding table and determine the appropriate outbound link. But this statement begs yet another question: How do forwarding tables get set? Are they configured by hand in each and every router, or does the Internet
use a more automated procedure? This issue will be studied in depth in Chapter 5. But to whet your appetite here, we’ll note now that the Internet has a number of special routing protocols that are used
to automatically set the forwarding tables. A routing protocol may, for example, determine the shortest path from each router to each destination and use the shortest path results to configure the forwarding tables in the routers.
How would you actually like to see the end-to-end route that packets take in the Internet? We now invite you to get your hands dirty by interacting with the Trace-route program. Simply visit the site
www.traceroute.org, choose a source in a particular country, and trace the route from that source to your computer. (For a discussion of Traceroute, see Section 1.4.)
1.3.2 Circuit Switching
There are two fundamental approaches to moving data through a network of links and switches: circuit switching and packet switching. Having covered packet-switched networks in the previous subsection, we now turn our attention to circuit-switched networks.
In circuit-switched networks, the resources needed along a path (buffers, link transmission rate) to provide for communication between the end systems are reserved for the duration of the communication
session between the end systems. In packet-switched networks, these resources are not reserved; a session’s messages use the resources on demand and, as a consequence, may have to wait (that is,
queue) for access to a communication link. As a simple analogy, consider two restaurants, one that requires reservations and another that neither requires reservations nor accepts them. For the restaurant that requires reservations, we have to go through the hassle of calling before we leave home. But when we arrive at the restaurant we can, in principle, immediately be seated and order our meal. For the restaurant that does not require reservations, we don’t need to bother to reserve a table. But when we arrive at the restaurant, we may have to wait for a table before we can be seated.
Traditional telephone networks are examples of circuit-switched networks. Consider what happens when one person wants to send information (voice or facsimile) to another over a telephone network. Before the sender can send the information, the network must establish a connection between the
sender and the receiver. This is a bona fide connection for which the switches on the path between the sender and receiver maintain connection state for that connection. In the jargon of telephony, this
connection is called a circuit. When the network establishes the circuit, it also reserves a constant transmission rate in the network’s links (representing a fraction of each link’s transmission capacity) for the duration of the connection. Since a given transmission rate has been reserved for this sender-to-
receiver connection, the sender can transfer the data to the receiver at the guaranteed constant rate. Figure 1.13 illustrates a circuit-switched network. In this network, the four circuit switches are
interconnected by four links. Each of these links has four circuits, so that each link can support four simultaneous connections. The hosts (for example, PCs and workstations) are each directly connected to one of the switches. When two hosts want to communicate, the network establishes a dedicated end- to-end connection between the two hosts. Thus, in order for Host A to communicate with Host B, the network must first reserve one circuit on each of two links. In this example, the dedicated end-to-end connection uses the second circuit in the first link and the fourth circuit in the second link. Because each link has four circuits, for each link used by the end-to-end connection, the connection gets one fourth of the link’s total transmission capacity for the duration of the connection. Thus, for example, if each link between adjacent switches has a transmission rate of 1 Mbps, then each end-to-end circuit-switch connection gets 250 kbps of dedicated transmission rate.
Figure 1.13 A simple circuit-switched network consisting of four switches and four links
In contrast, consider what happens when one host wants to send a packet to another host over a packet-switched network, such as the Internet. As with circuit switching, the packet is transmitted over a series of communication links. But different from circuit switching, the packet is sent into the network without reserving any link resources whatsoever. If one of the links is congested because other packets need to be transmitted over the link at the same time, then the packet will have to wait in a buffer at the sending side of the transmission link and suffer a delay. The Internet makes its best effort to deliver packets in a timely manner, but it does not make any guarantees.
Multiplexing in Circuit-Switched Networks
A circuit in a link is implemented with either frequency-division multiplexing (FDM) or time-division multiplexing (TDM). With FDM, the frequency spectrum of a link is divided up among the connections established across the link. Specifically, the link dedicates a frequency band to each connection for the duration of the connection. In telephone networks, this frequency band typically has a width of 4 kHz (that is, 4,000 hertz or 4,000 cycles per second). The width of the band is called, not surprisingly, the
bandwidth. FM radio stations also use FDM to share the frequency spectrum between 88 MHz and 108 MHz, with each station being allocated a specific frequency band.
For a TDM link, time is divided into frames of fixed duration, and each frame is divided into a fixed number of time slots. When the network establishes a connection across a link, the network dedicates one time slot in every frame to this connection. These slots are dedicated for the sole use of that connection, with one time slot available for use (in every frame) to transmit the connection’s data.
Figure 1.14
With FDM, each circuit continuously gets a fraction of the bandwidth. With TDM, each circuit gets all of the bandwidth periodically during brief intervals of time (that is, during slots)
Figure 1.14 illustrates FDM and TDM for a specific network link supporting up to four circuits. For FDM, the frequency domain is segmented into four bands, each of bandwidth 4 kHz. For TDM, the time
domain is segmented into frames, with four time slots in each frame; each circuit is assigned the same dedicated slot in the revolving TDM frames. For TDM, the transmission rate of a circuit is equal to the frame rate multiplied by the number of bits in a slot. For example, if the link transmits 8,000 frames per second and each slot consists of 8 bits, then the transmission rate of each circuit is 64 kbps.
Proponents of packet switching have always argued that circuit switching is wasteful because the dedicated circuits are idle during silent periods. For example, when one person in a telephone call stops talking, the idle network resources (frequency bands or time slots in the links along the connection’s route) cannot be used by other ongoing connections. As another example of how these resources can be underutilized, consider a radiologist who uses a circuit-switched network to remotely access a series of x-rays. The radiologist sets up a connection, requests an image, contemplates the image, and then requests a new image. Network resources are allocated to the connection but are not used (i.e., are wasted) during the radiologist’s contemplation periods. Proponents of packet switching also enjoy pointing out that establishing end-to-end circuits and reserving end-to-end transmission capacity is complicated and requires complex signaling software to coordinate the operation of the switches along the end-to-end path.
Before we finish our discussion of circuit switching, let’s work through a numerical example that should shed further insight on the topic. Let us consider how long it takes to send a file of 640,000 bits from Host A to Host B over a circuit-switched network. Suppose that all links in the network use TDM with 24 slots and have a bit rate of 1.536 Mbps. Also suppose that it takes 500 msec to establish an end-to-end circuit before Host A can begin to transmit the file. How long does it take to send the file? Each circuit has a transmission rate of (1.536 Mbps)/24=64 kbps, so it takes (640,000 bits)/(64 kbps)=10 seconds to transmit the file. To this 10 seconds we add the circuit establishment time, giving 10.5 seconds to send the file. Note that the transmission time is independent of the number of links: The transmission time would be 10 seconds if the end-to-end circuit passed through one link or a hundred links. (The actual
end-to-end delay also includes a propagation delay; see Section 1.4.)
Packet Switching Versus Circuit Switching
Having described circuit switching and packet switching, let us compare the two. Critics of packet switching have often argued that packet switching is not suitable for real-time services (for example, telephone calls and video conference calls) because of its variable and unpredictable end-to-end delays (due primarily to variable and unpredictable queuing delays). Proponents of packet switching argue that (1) it offers better sharing of transmission capacity than circuit switching and (2) it is simpler, more efficient, and less costly to implement than circuit switching. An interesting discussion of packet
switching versus circuit switching is [Molinero-Fernandez 2002]. Generally speaking, people who do not like to hassle with restaurant reservations prefer packet switching to circuit switching.
Why is packet switching more efficient? Let’s look at a simple example. Suppose users share a 1 Mbps link. Also suppose that each user alternates between periods of activity, when a user generates data at a constant rate of 100 kbps, and periods of inactivity, when a user generates no data. Suppose further that a user is active only 10 percent of the time (and is idly drinking coffee during the remaining 90
percent of the time). With circuit switching, 100 kbps must be reserved for each user at all times. For example, with circuit-switched TDM, if a one-second frame is divided into 10 time slots of 100 ms each,
then each user would be allocated one time slot per frame.
Thus, the circuit-switched link can support only 10(=1 Mbps/100 kbps) simultaneous users. With packet switching, the probability that a specific user is active is 0.1 (that is, 10 percent). If there are 35 users, the probability that there are 11 or more simultaneously active users is approximately 0.0004.
(Homework Problem P8 outlines how this probability is obtained.) When there are 10 or fewer simultaneously active users (which happens with probability 0.9996), the aggregate arrival rate of data is
less than or equal to 1 Mbps, the output rate of the link. Thus, when there are 10 or fewer active users, users’ packets flow through the link essentially without delay, as is the case with circuit switching. When there are more than 10 simultaneously active users, then the aggregate arrival rate of packets exceeds the output capacity of the link, and the output queue will begin to grow. (It continues to grow until the aggregate input rate falls back below 1 Mbps, at which point the queue will begin to diminish in length.) Because the probability of having more than 10 simultaneously active users is minuscule in this
example, packet switching provides essentially the same performance as circuit switching, but does so while allowing for more than three times the number of users.
Let’s now consider a second simple example. Suppose there are 10 users and that one user suddenly generates one thousand 1,000-bit packets, while other users remain quiescent and do not generate packets. Under TDM circuit switching with 10 slots per frame and each slot consisting of 1,000 bits, the active user can only use its one time slot per frame to transmit data, while the remaining nine time slots in each frame remain idle. It will be 10 seconds before all of the active user’s one million bits of data has
been transmitted. In the case of packet switching, the active user can continuously send its packets at the full link rate of 1 Mbps, since there are no other users generating packets that need to be multiplexed with the active user’s packets. In this case, all of the active user’s data will be transmitted within 1 second.
The above examples illustrate two ways in which the performance of packet switching can be superior to that of circuit switching. They also highlight the crucial difference between the two forms of sharing a link’s transmission rate among multiple data streams. Circuit switching pre-allocates use of the transmission link regardless of demand, with allocated but unneeded link time going unused. Packet
switching on the other hand allocates link use on demand. Link transmission capacity will be shared on a packet-by-packet basis only among those users who have packets that need to be transmitted over
the link.
Although packet switching and circuit switching are both prevalent in today’s telecommunication networks, the trend has certainly been in the direction of packet switching. Even many of today’s circuit- switched telephone networks are slowly migrating toward packet switching. In particular, telephone networks often use packet switching for the expensive overseas portion of a telephone call.
1.3.3 A Network of Networks
We saw earlier that end systems (PCs, smartphones, Web servers, mail servers, and so on) connect into the Internet via an access ISP. The access ISP can provide either wired or wireless connectivity, using an array of access technologies including DSL, cable, FTTH, Wi-Fi, and cellular. Note that the access ISP does not have to be a telco or a cable company; instead it can be, for example, a university (providing Internet access to students, staff, and faculty), or a company (providing access for its employees). But connecting end users and content providers into an access ISP is only a small piece of solving the puzzle of connecting the billions of end systems that make up the Internet. To complete this
puzzle, the access ISPs themselves must be interconnected. This is done by creating a network of networks—understanding this phrase is the key to understanding the Internet.
Over the years, the network of networks that forms the Internet has evolved into a very complex structure. Much of this evolution is driven by economics and national policy, rather than by performance considerations. In order to understand today’s Internet network structure, let’s incrementally build a series of network structures, with each new structure being a better approximation of the complex Internet that we have today. Recall that the overarching goal is to interconnect the access ISPs so that all end systems can send packets to each other. One naive approach would be to have each access
ISP directly connect with every other access ISP. Such a mesh design is, of course, much too costly for the access ISPs, as it would require each access ISP to have a separate communication link to each of
the hundreds of thousands of other access ISPs all over the world.
Our first network structure, Network Structure 1, interconnects all of the access ISPs with a single global transit ISP. Our (imaginary) global transit ISP is a network of routers and communication links that not
only spans the globe, but also has at least one router near each of the hundreds of thousands of access ISPs. Of course, it would be very costly for the global ISP to build such an extensive network. To be profitable, it would naturally charge each of the access ISPs for connectivity, with the pricing reflecting (but not necessarily directly proportional to) the amount of traffic an access ISP exchanges with the global ISP. Since the access ISP pays the global transit ISP, the access ISP is said to be a customer and the global transit ISP is said to be a provider.
Now if some company builds and operates a global transit ISP that is profitable, then it is natural for other companies to build their own global transit ISPs and compete with the original global transit ISP.
This leads to Network Structure 2, which consists of the hundreds of thousands of access ISPs and multiple global transit ISPs. The access ISPs certainly prefer Network Structure 2 over Network
Structure 1 since they can now choose among the competing global transit providers as a function of their pricing and services. Note, however, that the global transit ISPs themselves must interconnect: Otherwise access ISPs connected to one of the global transit providers would not be able to communicate with access ISPs connected to the other global transit providers.
Network Structure 2, just described, is a two-tier hierarchy with global transit providers residing at the top tier and access ISPs at the bottom tier. This assumes that global transit ISPs are not only capable of getting close to each and every access ISP, but also find it economically desirable to do so. In reality, although some ISPs do have impressive global coverage and do directly connect with many access ISPs, no ISP has presence in each and every city in the world. Instead, in any given region, there may be a regional ISP to which the access ISPs in the region connect. Each regional ISP then connects to tier-1 ISPs. Tier-1 ISPs are similar to our (imaginary) global transit ISP; but tier-1 ISPs, which actually do exist, do not have a presence in every city in the world. There are approximately a dozen tier-1 ISPs, including Level 3 Communications, AT&T, Sprint, and NTT. Interestingly, no group officially sanctions tier-1 status; as the saying goes—if you have to ask if you’re a member of a group, you’re probably not.
Returning to this network of networks, not only are there multiple competing tier-1 ISPs, there may be multiple competing regional ISPs in a region. In such a hierarchy, each access ISP pays the regional ISP to which it connects, and each regional ISP pays the tier-1 ISP to which it connects. (An access ISP can also connect directly to a tier-1 ISP, in which case it pays the tier-1 ISP). Thus, there is customer- provider relationship at each level of the hierarchy. Note that the tier-1 ISPs do not pay anyone as they are at the top of the hierarchy. To further complicate matters, in some regions, there may be a larger regional ISP (possibly spanning an entire country) to which the smaller regional ISPs in that region connect; the larger regional ISP then connects to a tier-1 ISP. For example, in China, there are access ISPs in each city, which connect to provincial ISPs, which in turn connect to national ISPs, which finally
connect to tier-1 ISPs [Tian 2012]. We refer to this multi-tier hierarchy, which is still only a crude
approximation of today’s Internet, as Network Structure 3.
To build a network that more closely resembles today’s Internet, we must add points of presence (PoPs), multi-homing, peering, and Internet exchange points (IXPs) to the hierarchical Network Structure 3. PoPs exist in all levels of the hierarchy, except for the bottom (access ISP) level. A PoP is simply a group of one or more routers (at the same location) in the provider’s network where customer ISPs can connect into the provider ISP. For a customer network to connect to a provider’s PoP, it can lease a high-speed link from a third-party telecommunications provider to directly connect one of its routers to a router at the PoP. Any ISP (except for tier-1 ISPs) may choose to multi-home, that is, to connect to two or more provider ISPs. So, for example, an access ISP may multi-home with two regional ISPs, or it may multi-home with two regional ISPs and also with a tier-1 ISP. Similarly, a regional ISP may multi-home with multiple tier-1 ISPs. When an ISP multi-homes, it can continue to send and receive packets into the Internet even if one of its providers has a failure.
As we just learned, customer ISPs pay their provider ISPs to obtain global Internet interconnectivity. The amount that a customer ISP pays a provider ISP reflects the amount of traffic it exchanges with the provider. To reduce these costs, a pair of nearby ISPs at the same level of the hierarchy can peer, that is, they can directly connect their networks together so that all the traffic between them passes over the direct connection rather than through upstream intermediaries. When two ISPs peer, it is typically settlement-free, that is, neither ISP pays the other. As noted earlier, tier-1 ISPs also peer with one another, settlement-free. For a readable discussion of peering and customer-provider relationships, see
[Van der Berg 2008]. Along these same lines, a third-party company can create an Internet Exchange Point (IXP), which is a meeting point where multiple ISPs can peer together. An IXP is typically in a
stand-alone building with its own switches [Ager 2012]. There are over 400 IXPs in the Internet today [IXP List 2016]. We refer to this ecosystem—consisting of access ISPs, regional ISPs, tier-1 ISPs, PoPs, multi-homing, peering, and IXPs—as Network Structure 4.
We now finally arrive at Network Structure 5, which describes today’s Internet. Network Structure 5, illustrated in Figure 1.15, builds on top of Network Structure 4 by adding content-provider networks.
Google is currently one of the leading examples of such a content-provider network. As of this writing, it is estimated that Google has 50–100 data centers distributed across North America, Europe, Asia, South America, and Australia. Some of these data centers house over one hundred thousand servers, while other data centers are smaller, housing only hundreds of servers. The Google data centers are all interconnected via Google’s private TCP/IP network, which spans the entire globe but is nevertheless separate from the public Internet. Importantly, the Google private network only carries traffic to/from
Google servers. As shown in Figure 1.15, the Google private network attempts to “bypass” the upper tiers of the Internet by peering (settlement free) with lower-tier ISPs, either by directly connecting with
them or by connecting with them at IXPs [Labovitz 2010]. However, because many access ISPs can still only be reached by transiting through tier-1 networks, the Google network also connects to tier-1
ISPs, and pays those ISPs for the traffic it exchanges with them. By creating its own network, a content
provider not only reduces its payments to upper-tier ISPs, but also has greater control of how its services are ultimately delivered to end users. Google’s network infrastructure is described in greater
detail in Section 2.6.
In summary, today’s Internet—a network of networks—is complex, consisting of a dozen or so tier-1 ISPs and hundreds of thousands of lower-tier ISPs. The ISPs are diverse in their coverage, with some spanning multiple continents and oceans, and others limited to narrow geographic regions. The lower- tier ISPs connect to the higher-tier ISPs, and the higher-tier ISPs interconnect with one another. Users and content providers are customers of lower-tier ISPs, and lower-tier ISPs are customers of higher-tier ISPs. In recent years, major content providers have also created their own networks and connect directly into lower-tier ISPs where possible.
Figure 1.15 Interconnection of ISPs
1.4 Delay, Loss, and Throughput in Packet-Switched Networks
Back in Section 1.1 we said that the Internet can be viewed as an infrastructure that provides services to distributed applications running on end systems. Ideally, we would like Internet services to be able to
move as much data as we want between any two end systems, instantaneously, without any loss of data. Alas, this is a lofty goal, one that is unachievable in reality. Instead, computer networks necessarily constrain throughput (the amount of data per second that can be transferred) between end systems, introduce delays between end systems, and can actually lose packets. On one hand, it is unfortunate that the physical laws of reality introduce delay and loss as well as constrain throughput. On the other hand, because computer networks have these problems, there are many fascinating issues surrounding how to deal with the problems—more than enough issues to fill a course on computer networking and to motivate thousands of PhD theses! In this section, we’ll begin to examine and quantify delay, loss, and throughput in computer networks.
1.4.1 Overview of Delay in Packet-Switched Networks
Recall that a packet starts in a host (the source), passes through a series of routers, and ends its journey in another host (the destination). As a packet travels from one node (host or router) to the
subsequent node (host or router) along this path, the packet suffers from several types of delays at each node along the path. The most important of these delays are the nodal processing delay, queuing
delay, transmission delay, and propagation delay; together, these delays accumulate to give a total nodal delay. The performance of many Internet applications—such as search, Web browsing, e-mail, maps, instant messaging, and voice-over-IP—are greatly affected by network delays. In order to acquire a deep understanding of packet switching and computer networks, we must understand the nature and importance of these delays.
Types of Delay
Let’s explore these delays in the context of Figure 1.16. As part of its end-to-end route between source and destination, a packet is sent from the upstream node through router A to router B. Our goal is to
characterize the nodal delay at router A. Note that router A has an outbound link leading to router B. This link is preceded by a queue (also known as a buffer). When the packet arrives at router A from the upstream node, router A examines the packet’s header to determine the appropriate outbound link for the packet and then directs the packet to this link. In this example, the outbound link for the packet is the one that leads to router B. A packet can be transmitted on a link only if there is no other packet currently
being transmitted on the link and if there are no other packets preceding it in the queue; if the link is
Figure 1.16 The nodal delay at router A
currently busy or if there are other packets already queued for the link, the newly arriving packet will then join the queue.
Processing Delay
The time required to examine the packet’s header and determine where to direct the packet is part of the processing delay. The processing delay can also include other factors, such as the time needed to check for bit-level errors in the packet that occurred in transmitting the packet’s bits from the upstream node to router A. Processing delays in high-speed routers are typically on the order of microseconds or less. After this nodal processing, the router directs the packet to the queue that precedes the link to
router B. (In Chapter 4 we’ll study the details of how a router operates.) Queuing Delay
At the queue, the packet experiences a queuing delay as it waits to be transmitted onto the link. The length of the queuing delay of a specific packet will depend on the number of earlier-arriving packets that are queued and waiting for transmission onto the link. If the queue is empty and no other packet is currently being transmitted, then our packet’s queuing delay will be zero. On the other hand, if the traffic is heavy and many other packets are also waiting to be transmitted, the queuing delay will be long. We will see shortly that the number of packets that an arriving packet might expect to find is a function of the intensity and nature of the traffic arriving at the queue. Queuing delays can be on the order of microseconds to milliseconds in practice.
Transmission Delay
Assuming that packets are transmitted in a first-come-first-served manner, as is common in packet- switched networks, our packet can be transmitted only after all the packets that have arrived before it
have been transmitted. Denote the length of the packet by L bits, and denote the transmission rate of
the link from router A to router B by R bits/sec. For example, for a 10 Mbps Ethernet link, the rate is R=10 Mbps; for a 100 Mbps Ethernet link, the rate is R=100 Mbps. The transmission delay is L/R. This
is the amount of time required to push (that is, transmit) all of the packet’s bits into the link. Transmission delays are typically on the order of microseconds to milliseconds in practice.
Propagation Delay
Once a bit is pushed into the link, it needs to propagate to router B. The time required to propagate from the beginning of the link to router B is the propagation delay. The bit propagates at the propagation speed of the link. The propagation speed depends on the physical medium of the link (that is, fiber optics, twisted-pair copper wire, and so on) and is in the range of
2⋅108 meters/sec to 3⋅108 meters/sec
which is equal to, or a little less than, the speed of light. The propagation delay is the distance between
two routers divided by the propagation speed. That is, the propagation delay is d/s, where d is the distance between router A and router B and s is the propagation speed of the link. Once the last bit of
the packet propagates to node B, it and all the preceding bits of the packet are stored in router B. The whole process then continues with router B now performing the forwarding. In wide-area networks, propagation delays are on the order of milliseconds.
Comparing Transmission and Propagation Delay
Newcomers to the field of computer networking sometimes have difficulty understanding the difference between transmission delay and propagation delay. The difference is subtle but important. The transmission delay is the amount of time required for the router to push out the packet; it is a function of the packet’s length and the transmission rate of the link, but has nothing to do with the distance between the two routers. The propagation delay, on the other hand, is the time it takes a bit to propagate from one router to the next; it is a function of the distance between the two routers, but has nothing to do with the packet’s length or the transmission rate of the link.
An analogy might clarify the notions of transmission and propagation delay. Consider a highway that has a tollbooth every 100 kilometers, as shown in Figure 1.17. You can think of the highway segments
Exploring propagation delay and transmission delay
between tollbooths as links and the tollbooths as routers. Suppose that cars travel (that is, propagate) on the highway at a rate of 100 km/hour (that is, when a car leaves a tollbooth, it instantaneously accelerates to 100 km/hour and maintains that speed between tollbooths). Suppose next that 10 cars, traveling together as a caravan, follow each other in a fixed order. You can think of each car as a bit and the caravan as a packet. Also suppose that each
Figure 1.17 Caravan analogy
tollbooth services (that is, transmits) a car at a rate of one car per 12 seconds, and that it is late at night so that the caravan’s cars are the only cars on the highway. Finally, suppose that whenever the first car of the caravan arrives at a tollbooth, it waits at the entrance until the other nine cars have arrived and lined up behind it. (Thus the entire caravan must be stored at the tollbooth before it can begin to be forwarded.) The time required for the tollbooth to push the entire caravan onto the highway is
(10 cars)/(5 cars/minute)=2 minutes. This time is analogous to the transmission delay in a router. The time required for a car to travel from the exit of one tollbooth to the next tollbooth is
100 km/(100 km/hour)=1 hour. This time is analogous to propagation delay. Therefore, the time from when the caravan is stored in front of a tollbooth until the caravan is stored in front of the next tollbooth is the sum of transmission delay and propagation delay—in this example, 62 minutes.
Let’s explore this analogy a bit more. What would happen if the tollbooth service time for a caravan were greater than the time for a car to travel between tollbooths? For example, suppose now that the cars travel at the rate of 1,000 km/hour and the tollbooth services cars at the rate of one car per minute. Then the traveling delay between two tollbooths is 6 minutes and the time to serve a caravan is 10 minutes. In this case, the first few cars in the caravan will arrive at the second tollbooth before the last cars in the caravan leave the first tollbooth. This situation also arises in packet-switched networks—the first bits in a packet can arrive at a router while many of the remaining bits in the packet are still waiting to be transmitted by the preceding router.
If a picture speaks a thousand words, then an animation must speak a million words. The Web site for this textbook provides an interactive Java applet that nicely illustrates and contrasts transmission delay
and propagation delay. The reader is highly encouraged to visit that applet. [Smith 2009] also provides a very readable discussion of propagation, queueing, and transmission delays.
If we let dproc, dqueue, dtrans, and dprop denote the processing, queuing, transmission, and propagation
delays, then the total nodal delay is given by dnodal=dproc+dqueue+dtrans+dprop
The contribution of these delay components can vary significantly. For example, dprop can be negligible (for example, a couple of microseconds) for a link connecting two routers on the same university
campus; however, dprop is hundreds of milliseconds for two routers interconnected by a geostationary
satellite link, and can be the dominant term in dnodal. Similarly, dtrans can range from negligible to significant. Its contribution is typically negligible for transmission rates of 10 Mbps and higher (for example, for LANs); however, it can be hundreds of milliseconds for large Internet packets sent over
low-speed dial-up modem links. The processing delay, dproc, is often negligible; however, it strongly influences a router’s maximum throughput, which is the maximum rate at which a router can forward packets.
1.4.2 Queuing Delay and Packet Loss
The most complicated and interesting component of nodal delay is the queuing delay, dqueue. In fact, queuing delay is so important and interesting in computer networking that thousands of papers and
numerous books have been written about it [Bertsekas 1991; Daigle 1991; Kleinrock 1975, Kleinrock 1976; Ross 1995]. We give only a high-level, intuitive discussion of queuing delay here; the more
curious reader may want to browse through some of the books (or even eventually write a PhD thesis on
the subject!). Unlike the other three delays (namely, dproc, dtrans, and dprop), the queuing delay can vary from packet to packet. For example, if 10 packets arrive at an empty queue at the same time, the first packet transmitted will suffer no queuing delay, while the last packet transmitted will suffer a relatively large queuing delay (while it waits for the other nine packets to be transmitted). Therefore, when characterizing queuing delay, one typically uses statistical measures, such as average queuing delay, variance of queuing delay, and the probability that the queuing delay exceeds some specified value.
When is the queuing delay large and when is it insignificant? The answer to this question depends on the rate at which traffic arrives at the queue, the transmission rate of the link, and the nature of the arriving traffic, that is, whether the traffic arrives periodically or arrives in bursts. To gain some insight
here, let a denote the average rate at which packets arrive at the queue (a is in units of packets/sec). Recall that R is the transmission rate; that is, it is the rate (in bits/sec) at which bits are pushed out of the queue. Also suppose, for simplicity, that all packets consist of L bits. Then the average rate at which bits arrive at the queue is La bits/sec. Finally, assume that the queue is very big, so that it can hold essentially an infinite number of bits. The ratio La/R, called the traffic intensity, often plays an
important role in estimating the extent of the queuing delay. If La/R > 1, then the average rate at which bits arrive at the queue exceeds the rate at which the bits can be transmitted from the queue. In this
unfortunate situation, the queue will tend to increase without bound and the queuing delay will approach infinity! Therefore, one of the golden rules in traffic engineering is: Design your system so that the traffic
intensity is no greater than 1.
Now consider the case La/R ≤ 1. Here, the nature of the arriving traffic impacts the queuing delay. For
example, if packets arrive periodically—that is, one packet arrives every L/R seconds—then every packet will arrive at an empty queue and there will be no queuing delay. On the other hand, if packets
arrive in bursts but periodically, there can be a significant average queuing delay. For example, suppose
N packets arrive simultaneously every (L/R)N seconds. Then the first packet transmitted has no queuing delay; the second packet transmitted has a queuing delay of L/R seconds; and more generally, the nth
packet transmitted has a queuing delay of (n−1)L/R seconds. We leave it as an exercise for you to calculate the average queuing delay in this example.
The two examples of periodic arrivals described above are a bit academic. Typically, the arrival process to a queue is random; that is, the arrivals do not follow any pattern and the packets are spaced
apart by random amounts of time. In this more realistic case, the quantity La/R is not usually sufficient to fully characterize the queuing delay statistics. Nonetheless, it is useful in gaining an intuitive
understanding of the extent of the queuing delay. In particular, if the traffic intensity is close to zero, then packet arrivals are few and far between and it is unlikely that an arriving packet will find another packet in the queue. Hence, the average queuing delay will be close to zero. On the other hand, when the traffic intensity is close to 1, there will be intervals of time when the arrival rate exceeds the transmission capacity (due to variations in packet arrival rate), and a queue will form during these periods of time; when the arrival rate is less than the transmission capacity, the length of the queue will shrink. Nonetheless, as the traffic intensity approaches 1, the average queue length gets larger and larger. The
qualitative dependence of average queuing delay on the traffic intensity is shown in Figure 1.18. One important aspect of Figure 1.18 is the fact that as the traffic intensity approaches 1, the average
queuing delay increases rapidly. A small percentage increase in the intensity will result in a much larger percentage-wise increase in delay. Perhaps you have experienced this phenomenon on the highway. If you regularly drive on a road that is typically congested, the fact that the road is typically
Figure 1.18 Dependence of average queuing delay on traffic intensity
congested means that its traffic intensity is close to 1. If some event causes an even slightly larger-than- usual amount of traffic, the delays you experience can be huge.
To really get a good feel for what queuing delays are about, you are encouraged once again to visit the textbook Web site, which provides an interactive Java applet for a queue. If you set the packet arrival rate high enough so that the traffic intensity exceeds 1, you will see the queue slowly build up over time.
Packet Loss
In our discussions above, we have assumed that the queue is capable of holding an infinite number of packets. In reality a queue preceding a link has finite capacity, although the queuing capacity greatly depends on the router design and cost. Because the queue capacity is finite, packet delays do not really approach infinity as the traffic intensity approaches 1. Instead, a packet can arrive to find a full queue. With no place to store such a packet, a router will drop that packet; that is, the packet will be lost. This overflow at a queue can again be seen in the Java applet for a queue when the traffic intensity is greater than 1.
From an end-system viewpoint, a packet loss will look like a packet having been transmitted into the network core but never emerging from the network at the destination. The fraction of lost packets increases as the traffic intensity increases. Therefore, performance at a node is often measured not only in terms of delay, but also in terms of the probability of packet loss. As we’ll discuss in the subsequent chapters, a lost packet may be retransmitted on an end-to-end basis in order to ensure that all data are eventually transferred from source to destination.
1.4.3 End-to-End Delay
Our discussion up to this point has focused on the nodal delay, that is, the delay at a single router. Let’s now consider the total delay from source to destination. To get a handle on this concept, suppose there are N−1 routers between the source host and the destination host. Let’s also suppose for the moment that the network is uncongested (so that queuing delays are negligible), the processing delay at each
router and at the source host is dproc, the transmission rate out of each router and out of the source host is R bits/sec, and the propagation on each link is dprop. The nodal delays accumulate and give an end-to-
end delay, dend−end=N(dproc+dtrans+dprop)
(1.2)
where, once again, dtrans=L/R, where L is the packet size. Note that Equation 1.2 is a generalization of Equation 1.1, which did not take into account processing and propagation delays. We leave it to you to
generalize Equation 1.2 to the case of heterogeneous delays at the nodes and to the presence of an average queuing delay at each node.
Traceroute
To get a hands-on feel for end-to-end delay in a computer network, we can make use of the Traceroute program. Traceroute is a simple program that can run in any Internet host. When the user specifies a destination hostname, the program in the source host sends multiple, special packets toward that destination. As these packets work their way toward the destination, they pass through a series of routers. When a router receives one of these special packets, it sends back to the source a short message that contains the name and address of the router.
More specifically, suppose there are N−1 routers between the source and the destination. Then the
source will send N special packets into the network, with each packet addressed to the ultimate destination. These N special packets are marked 1 through N, with the first packet marked 1 and the last
packet marked N. When the nth router receives the nth packet marked n, the router does not forward the packet toward its destination, but instead sends a message back to the source. When the
destination host receives the Nth packet, it too returns a message back to the source. The source records the time that elapses between when it sends a packet and when it receives the corresponding
Using Traceroute to discover network paths and measure network delay
return message; it also records the name and address of the router (or the destination host) that returns the message. In this manner, the source can reconstruct the route taken by packets flowing from source to destination, and the source can determine the round-trip delays to all the intervening routers.
Traceroute actually repeats the experiment just described three times, so the source actually sends 3 • N packets to the destination. RFC 1393 describes Traceroute in detail.
Here is an example of the output of the Traceroute program, where the route was being traced from the source host gaia.cs.umass.edu (at the University of Massachusetts) to the host cis.poly.edu (at
Polytechnic University in Brooklyn). The output has six columns: the first column is the n value described above, that is, the number of the router along the route; the second column is the name of the
router; the third column is the address of the router (of the form xxx.xxx.xxx.xxx); the last three columns are the round-trip delays for three experiments. If the source receives fewer than three messages from any given router (due to packet loss in the network), Traceroute places an asterisk just after the router number and reports fewer than three round-trip times for that router.
1cs-gw (128.119.240.254) 1.009 ms 0.899 ms 0.993 ms
2128.119.3.154 (128.119.3.154) 0.931 ms 0.441 ms 0.651 ms
3-border4-rt-gi-1-3.gw.umass.edu (128.119.2.194) 1.032 ms 0.484 ms
0.451 ms
4-acr1-ge-2-1-0.Boston.cw.net (208.172.51.129) 10.006 ms 8.150 ms 8.460
ms
5-agr4-loopback.NewYork.cw.net (206.24.194.104) 12.272 ms 14.344 ms
13.267 ms
6-acr2-loopback.NewYork.cw.net (206.24.194.62) 13.225 ms 12.292 ms
12.148 ms
7-pos10-2.core2.NewYork1.Level3.net (209.244.160.133) 12.218 ms 11.823
ms 11.793 ms
8 -gige9-1-52.hsipaccess1.NewYork1.Level3.net (64.159.17.39) 13.081 ms
11.556 ms 13.297 ms
9-p0-0.polyu.bbnplanet.net (4.25.109.122) 12.716 ms 13.052 ms 12.786 ms
10 cis.poly.edu (128.238.32.126) 14.080 ms 13.035 ms 12.802 ms
In the trace above there are nine routers between the source and the destination. Most of these routers have a name, and all of them have addresses. For example, the name of Router 3 is border4-rt-gi-
1-3.gw.umass.edu and its address is 128.119.2.194. Looking at the data provided for this same router, we see that in the first of the three trials the round-trip delay between the source and the router was 1.03 msec. The round-trip delays for the subsequent two trials were 0.48 and 0.45 msec. These
round-trip delays include all of the delays just discussed, including transmission delays, propagation delays, router processing delays, and queuing delays. Because the queuing delay is varying with time,
the round-trip delay of packet n sent to a router n can sometimes be longer than the round-trip delay of packet n+1 sent to router n+1. Indeed, we observe this phenomenon in the above example: the delays
to Router 6 are larger than the delays to Router 7!
Want to try out Traceroute for yourself? We highly recommended that you visit http://
www.traceroute.org, which provides a Web interface to an extensive list of sources for route tracing. You choose a source and supply the hostname for any destination. The Traceroute program then does
all the work. There are a number of free software programs that provide a graphical interface to Traceroute; one of our favorites is PingPlotter [PingPlotter 2016].
End System, Application, and Other Delays
In addition to processing, transmission, and propagation delays, there can be additional significant delays in the end systems. For example, an end system wanting to transmit a packet into a shared
medium (e.g., as in a WiFi or cable modem scenario) may purposefully delay its transmission as part of its protocol for sharing the medium with other end systems; we’ll consider such protocols in detail in
Chapter 6. Another important delay is media packetization delay, which is present in Voice-over-IP (VoIP) applications. In VoIP, the sending side must first fill a packet with encoded digitized speech
before passing the packet to the Internet. This time to fill a packet—called the packetization delay—can be significant and can impact the user-perceived quality of a VoIP call. This issue will be further explored in a homework problem at the end of this chapter.
1.4.4 Throughput in Computer Networks
In addition to delay and packet loss, another critical performance measure in computer networks is end- to-end throughput. To define throughput, consider transferring a large file from Host A to Host B across a computer network. This transfer might be, for example, a large video clip from one peer to another in a P2P file sharing system. The instantaneous throughput at any instant of time is the rate (in bits/sec) at which Host B is receiving the file. (Many applications, including many P2P file sharing systems, display the instantaneous throughput during downloads in the user interface—perhaps you have observed this
before!) If the file consists of F bits and the transfer takes T seconds for Host B to receive all F bits, then the average throughput of the file transfer is F/T bits/sec. For some applications, such as Internet
telephony, it is desirable to have a low delay and an instantaneous throughput consistently above some threshold (for example, over 24 kbps for some Internet telephony applications and over 256 kbps for some real-time video applications). For other applications, including those involving file transfers, delay is not critical, but it is desirable to have the highest possible throughput.
To gain further insight into the important concept of throughput, let’s consider a few examples. Figure 1.19(a) shows two end systems, a server and a client, connected by two communication links and a router. Consider the throughput for a file transfer from the server to the client. Let Rs denote the rate of the link between the server and the router; and Rc denote the rate of the link between the router and the client. Suppose that the only bits being sent in the entire network are those from the server to the client. We now ask, in this ideal scenario, what is the server-to-client throughput? To answer this question, we
may think of bits as fluid and communication links as pipes. Clearly, the server cannot pump bits through its link at a rate faster than Rs bps; and the router cannot forward bits at a rate faster than Rc bps. If Rs
S:250 [email protected] … Sender ok
C:RCPT TO:
S:250 [email protected] … Recipient ok
C:DATA
S:354 Enter mail, end with ”.” on a line by itself
C:Do you like ketchup?
C:How about pickles?
C:.
S:250 Message accepted for delivery
C:QUIT
S:221 hamburger.edu closing connection
mail message to an arbitrary recipient via a local mail server.
2.3.2 Comparison with HTTP
Let’s now briefly compare SMTP with HTTP. Both protocols are used to transfer files from one host to another: HTTP transfers files (also called objects) from a Web server to a Web client (typically a browser); SMTP transfers files (that is, e-mail messages) from one mail server to another mail server. When transferring the files, both persistent HTTP and SMTP use persistent connections. Thus, the two protocols have common characteristics. However, there are important differences. First, HTTP is mainly a pull protocol—someone loads information on a Web server and users use HTTP to pull the information from the server at their convenience. In particular, the TCP connection is initiated by the machine that wants to receive the file. On the other hand, SMTP is primarily a push protocol—the sending mail server pushes the file to the receiving mail server. In particular, the TCP connection is initiated by the machine that wants to send the file.
A second difference, which we alluded to earlier, is that SMTP requires each message, including the body of each message, to be in 7-bit ASCII format. If the message contains characters that are not 7-bit ASCII (for example, French characters with accents) or contains binary data (such as an image file), then the message has to be encoded into 7-bit ASCII. HTTP data does not impose this restriction.
A third important difference concerns how a document consisting of text and images (along with possibly
other media types) is handled. As we learned in Section 2.2, HTTP encapsulates each object in its own HTTP response message. SMTP places all of the message’s objects into one message.
2.3.3 Mail Message Formats
When Alice writes an ordinary snail-mail letter to Bob, she may include all kinds of peripheral header information at the top of the letter, such as Bob’s address, her own return address, and the date. Similarly, when an e-mail message is sent from one person to another, a header containing peripheral information precedes the body of the message itself. This peripheral information is contained in a series of header lines, which are defined in RFC 5322. The header lines and the body of the message are
separated by a blank line (that is, by CRLF). RFC 5322 specifies the exact format for mail header lines as well as their semantic interpretations. As with HTTP, each header line contains readable text, consisting of a keyword followed by a colon followed by a value. Some of the keywords are required and
others are optional. Every header must have a From: header line and a To: header line; a header may include a Subject: header line as well as other optional header lines. It is important to note that these header lines are different from the SMTP commands we studied in Section 2.4.1 (even though
they contain some common words such as “from” and “to”). The commands in that section were part of the SMTP handshaking protocol; the header lines examined in this section are part of the mail message
itself.
A typical message header looks like this:
After the message header, a blank line follows; then the message body (in ASCII) follows. You should use Telnet to send a message to a mail server that contains some header lines, including the
Subject: header line. To do this, issue telnet serverName 25, as discussed in Section 2.4.1. 2.3.4 Mail Access Protocols
Once SMTP delivers the message from Alice’s mail server to Bob’s mail server, the message is placed in Bob’s mailbox. Throughout this discussion we have tacitly assumed that Bob reads his mail by logging onto the server host and then executing a mail reader that runs on that host. Up until the early 1990s this was the standard way of doing things. But today, mail access uses a client-server architecture—the typical user reads e-mail with a client that executes on the user’s end system, for example, on an office PC, a laptop, or a smartphone. By executing a mail client on a local PC, users enjoy a rich set of features, including the ability to view multimedia messages and attachments.
Given that Bob (the recipient) executes his user agent on his local PC, it is natural to consider placing a mail server on his local PC as well. With this approach, Alice’s mail server would dialogue directly with Bob’s PC. There is a problem with this approach, however. Recall that a mail server manages mailboxes and runs the client and server sides of SMTP. If Bob’s mail server were to reside on his local PC, then Bob’s PC would have to remain always on, and connected to the Internet, in order to receive new mail, which can arrive at any time. This is impractical for many Internet users. Instead, a typical user runs a user agent on the local PC but accesses its mailbox stored on an always-on shared mail server. This mail server is shared with other users and is typically maintained by the user’s ISP (for example, university or company).
Now let’s consider the path an e-mail message takes when it is sent from Alice to Bob. We just learned that at some point along the path the e-mail message needs to be deposited in Bob’s mail server. This could be done simply by having Alice’s user agent send the message directly to Bob’s mail server. And
From: [email protected]
To: [email protected]
Subject: Searching for the meaning of life.
this could be done with SMTP—indeed, SMTP has been designed for pushing e-mail from one host to another. However, typically the sender’s user agent does not dialogue directly with the recipient’s mail
server. Instead, as shown in Figure 2.16, Alice’s user agent uses SMTP to push the e-mail message into her mail server, then Alice’s mail server uses SMTP (as an SMTP client) to relay the e-mail
message to Bob’s mail server. Why the two-step procedure? Primarily because without relaying through Alice’s mail server, Alice’s user agent doesn’t have any recourse to an unreachable destination
Figure 2.16 E-mail protocols and their communicating entities
mail server. By having Alice first deposit the e-mail in her own mail server, Alice’s mail server can repeatedly try to send the message to Bob’s mail server, say every 30 minutes, until Bob’s mail server becomes operational. (And if Alice’s mail server is down, then she has the recourse of complaining to her system administrator!) The SMTP RFC defines how the SMTP commands can be used to relay a message across multiple SMTP servers.
But there is still one missing piece to the puzzle! How does a recipient like Bob, running a user agent on his local PC, obtain his messages, which are sitting in a mail server within Bob’s ISP? Note that Bob’s user agent can’t use SMTP to obtain the messages because obtaining the messages is a pull operation, whereas SMTP is a push protocol. The puzzle is completed by introducing a special mail access protocol that transfers messages from Bob’s mail server to his local PC. There are currently a number of popular mail access protocols, including Post Office Protocol—Version 3 (POP3), Internet Mail Access Protocol (IMAP), and HTTP.
Figure 2.16 provides a summary of the protocols that are used for Internet mail: SMTP is used to transfer mail from the sender’s mail server to the recipient’s mail server; SMTP is also used to transfer
mail from the sender’s user agent to the sender’s mail server. A mail access protocol, such as POP3, is used to transfer mail from the recipient’s mail server to the recipient’s user agent.
POP3
POP3 is an extremely simple mail access protocol. It is defined in [RFC 1939], which is short and quite readable. Because the protocol is so simple, its functionality is rather limited. POP3 begins when the
user agent (the client) opens a TCP connection to the mail server (the server) on port 110. With the TCP
connection established, POP3 progresses through three phases: authorization, transaction, and update. During the first phase, authorization, the user agent sends a username and a password (in the clear) to authenticate the user. During the second phase, transaction, the user agent retrieves messages; also during this phase, the user agent can mark messages for deletion, remove deletion marks, and obtain
mail statistics. The third phase, update, occurs after the client has issued the quit command, ending the POP3 session; at this time, the mail server deletes the messages that were marked for deletion.
In a POP3 transaction, the user agent issues commands, and the server responds to each command with a reply. There are two possible responses: +OK (sometimes followed by server-to-client data),
used by the server to indicate that the previous command was fine; and -ERR, used by the server to indicate that something was wrong with the previous command.
The authorization phase has two principal commands: user
110, and issue these commands. Suppose that mailServer is the name of your mail server. You will see something like:
telnet mailServer 110
+OK POP3 server ready
user bob
+OK
pass hungry
+OK user successfully logged on
If you misspell a command, the POP3 server will reply with an -ERR message.
Now let’s take a look at the transaction phase. A user agent using POP3 can often be configured (by the user) to “download and delete” or to “download and keep.” The sequence of commands issued by a POP3 user agent depends on which of these two modes the user agent is operating in. In the download-
and-delete mode, the user agent will issue the list, retr, and dele commands. As an example, suppose the user has two messages in his or her mailbox. In the dialogue below, C: (standing for
client) is the user agent and S: (standing for server) is the mail server. The transaction will look something like:
C: list
S: 1 498
S: 2 912
The user agent first asks the mail server to list the size of each of the stored messages. The user agent then retrieves and deletes each message from the server. Note that after the authorization phase, the
user agent employed only four commands: list, retr, dele, and quit. The syntax for these commands is defined in RFC 1939. After processing the quit command, the POP3 server enters the
update phase and removes messages 1 and 2 from the mailbox.
A problem with this download-and-delete mode is that the recipient, Bob, may be nomadic and may want to access his mail messages from multiple machines, for example, his office PC, his home PC, and his portable computer. The download-and-delete mode partitions Bob’s mail messages over these three machines; in particular, if Bob first reads a message on his office PC, he will not be able to reread the message from his portable at home later in the evening. In the download-and-keep mode, the user agent leaves the messages on the mail server after downloading them. In this case, Bob can reread messages from different machines; he can access a message from work and access it again later in the week from home.
During a POP3 session between a user agent and the mail server, the POP3 server maintains some state information; in particular, it keeps track of which user messages have been marked deleted. However, the POP3 server does not carry state information across POP3 sessions. This lack of state information across sessions greatly simplifies the implementation of a POP3 server.
IMAP
With POP3 access, once Bob has downloaded his messages to the local machine, he can create mail
S: .
C: retr 1
S: (blah blah …
S: ……………..
S: ……….blah)
S: .
C: dele 1
C: retr 2
S: (blah blah …
S: ……………..
S: ……….blah)
S: .
C: dele 2
C: quit
S: +OK POP3 server signing off
folders and move the downloaded messages into the folders. Bob can then delete messages, move messages across folders, and search for messages (by sender name or subject). But this paradigm— namely, folders and messages in the local machine—poses a problem for the nomadic user, who would prefer to maintain a folder hierarchy on a remote server that can be accessed from any computer. This is not possible with POP3—the POP3 protocol does not provide any means for a user to create remote folders and assign messages to folders.
To solve this and other problems, the IMAP protocol, defined in [RFC 3501], was invented. Like POP3, IMAP is a mail access protocol. It has many more features than POP3, but it is also significantly more
complex. (And thus the client and server side implementations are significantly more complex.)
An IMAP server will associate each message with a folder; when a message first arrives at the server, it is associated with the recipient’s INBOX folder. The recipient can then move the message into a new, user-created folder, read the message, delete the message, and so on. The IMAP protocol provides commands to allow users to create folders and move messages from one folder to another. IMAP also provides commands that allow users to search remote folders for messages matching specific criteria. Note that, unlike POP3, an IMAP server maintains user state information across IMAP sessions—for example, the names of the folders and which messages are associated with which folders.
Another important feature of IMAP is that it has commands that permit a user agent to obtain components of messages. For example, a user agent can obtain just the message header of a message or just one part of a multipart MIME message. This feature is useful when there is a low-bandwidth connection (for example, a slow-speed modem link) between the user agent and its mail server. With a low-bandwidth connection, the user may not want to download all of the messages in its mailbox, particularly avoiding long messages that might contain, for example, an audio or video clip.
Web-Based E-Mail
More and more users today are sending and accessing their e-mail through their Web browsers. Hotmail introduced Web-based access in the mid 1990s. Now Web-based e-mail is also provided by Google, Yahoo!, as well as just about every major university and corporation. With this service, the user agent is an ordinary Web browser, and the user communicates with its remote mailbox via HTTP. When a recipient, such as Bob, wants to access a message in his mailbox, the e-mail message is sent from Bob’s mail server to Bob’s browser using the HTTP protocol rather than the POP3 or IMAP protocol. When a sender, such as Alice, wants to send an e-mail message, the e-mail message is sent from her browser to her mail server over HTTP rather than over SMTP. Alice’s mail server, however, still sends messages to, and receives messages from, other mail servers using SMTP.
2.4 DNS—The Internet’s Directory Service
We human beings can be identified in many ways. For example, we can be identified by the names that appear on our birth certificates. We can be identified by our social security numbers. We can be identified by our driver’s license numbers. Although each of these identifiers can be used to identify people, within a given context one identifier may be more appropriate than another. For example, the computers at the IRS (the infamous tax-collecting agency in the United States) prefer to use fixed-length social security numbers rather than birth certificate names. On the other hand, ordinary people prefer the more mnemonic birth certificate names rather than social security numbers. (Indeed, can you imagine saying, “Hi. My name is 132-67-9875. Please meet my husband, 178-87-1146.”)
Just as humans can be identified in many ways, so too can Internet hosts. One identifier for a host is its hostname. Hostnames—such as www.facebook.com, www.google.com,
gaia.cs.umass.edu—are mnemonic and are therefore appreciated by humans. However, hostnames provide little, if any, information about the location within the Internet of the host. (A
hostname such as www.eurecom.fr, which ends with the country code .fr, tells us that the host is probably in France, but doesn’t say much more.) Furthermore, because hostnames can consist of variable-length alphanumeric characters, they would be difficult to process by routers. For these reasons, hosts are also identified by so-called IP addresses.
We discuss IP addresses in some detail in Chapter 4, but it is useful to say a few brief words about them now. An IP address consists of four bytes and has a rigid hierarchical structure. An IP address
looks like 121.7.106.83, where each period separates one of the bytes expressed in decimal notation from 0 to 255. An IP address is hierarchical because as we scan the address from left to right, we obtain more and more specific information about where the host is located in the Internet (that is, within which network, in the network of networks). Similarly, when we scan a postal address from bottom to top, we obtain more and more specific information about where the addressee is located.
2.4.1 Services Provided by DNS
We have just seen that there are two ways to identify a host—by a hostname and by an IP address. People prefer the more mnemonic hostname identifier, while routers prefer fixed-length, hierarchically structured IP addresses. In order to reconcile these preferences, we need a directory service that
translates hostnames to IP addresses. This is the main task of the Internet’s domain name system (DNS). The DNS is (1) a distributed database implemented in a hierarchy of DNS servers, and (2) an
application-layer protocol that allows hosts to query the distributed database. The DNS servers are often
UNIX machines running the Berkeley Internet Name Domain (BIND) software [BIND 2016]. The DNS protocol runs over UDP and uses port 53.
DNS is commonly employed by other application-layer protocols—including HTTP and SMTP to translate user-supplied hostnames to IP addresses. As an example, consider what happens when a browser (that is, an HTTP client), running on some user’s host, requests the URL
www.someschool.edu/index.html. In order for the user’s host to be able to send an HTTP request message to the Web server www.someschool.edu, the user’s host must first obtain the IP address of
www.someschool.edu. This is done as follows.
1. The same user machine runs the client side of the DNS application.
2. The browser extracts the hostname, www.someschool.edu, from the URL and passes the
hostname to the client side of the DNS application.
3. The DNS client sends a query containing the hostname to a DNS server.
4. The DNS client eventually receives a reply, which includes the IP address for the hostname.
5. Once the browser receives the IP address from DNS, it can initiate a TCP connection to the HTTP server process located at port 80 at that IP address.
We see from this example that DNS adds an additional delay—sometimes substantial—to the Internet applications that use it. Fortunately, as we discuss below, the desired IP address is often cached in a “nearby” DNS server, which helps to reduce DNS network traffic as well as the average DNS delay.
DNS provides a few other important services in addition to translating hostnames to IP addresses:
Host aliasing. A host with a complicated hostname can have one or more alias names. For example, a hostname such as relay1.west-coast.enterprise.com could have, say, two aliases such as enterprise.com and www.enterprise.com. In this case, the hostname
relay1.west-coast.enterprise.com is said to be a canonical hostname. Alias hostnames, when present, are typically more mnemonic than canonical hostnames. DNS can be invoked by an application to obtain the canonical hostname for a supplied alias hostname as well as the IP address of the host.
Mail server aliasing. For obvious reasons, it is highly desirable that e-mail addresses be mnemonic. For example, if Bob has an account with Yahoo Mail, Bob’s e-mail address might be as simple as
[email protected]. However, the hostname of the Yahoo mail server is more complicated and
much less mnemonic than simply yahoo.com (for example, the canonical hostname might be
something like relay1.west-coast.yahoo.com). DNS can be invoked by a mail application to obtain the canonical hostname for a supplied alias hostname as well as the IP address of the host. In fact, the MX record (see below) permits a company’s mail server and Web server to have identical (aliased) hostnames; for example, a company’s Web server and mail server can both be called
enterprise.com .
Load distribution. DNS is also used to perform load distribution among replicated servers, such as
replicated Web servers. Busy sites, such as cnn.com, are replicated over multiple servers, with each server running on a different end system and each having a different IP address. For replicated
Web servers, a set of IP addresses is thus associated with one canonical hostname. The DNS database contains this set of IP addresses. When clients make a DNS query for a name mapped to
a set of addresses, the server responds with the entire set of IP addresses, but rotates the ordering of the addresses within each reply. Because a client typically sends its HTTP request message to the IP address that is listed first in the set, DNS rotation distributes the traffic among the replicated servers. DNS rotation is also used for e-mail so that multiple mail servers can have the same alias name. Also, content distribution companies such as Akamai have used DNS in more sophisticated
ways [Dilley 2002] to provide Web content distribution (see Section 2.6.3).
The DNS is specified in RFC 1034 and RFC 1035, and updated in several additional RFCs. It is a
complex system, and we only touch upon key aspects of its PRINCIPLES IN PRACTICE
DNS: CRITICAL NETWORK FUNCTIONS VIA THE CLIENT-SERVER PARADIGM
Like HTTP, FTP, and SMTP, the DNS protocol is an application-layer protocol since it (1) runs between communicating end systems using the client-server paradigm and (2) relies on an underlying end-to-end transport protocol to transfer DNS messages between communicating end systems. In another sense, however, the role of the DNS is quite different from Web, file transfer, and e-mail applications. Unlike these applications, the DNS is not an application with which a user directly interacts. Instead, the DNS provides a core Internet function—namely, translating hostnames to their underlying IP addresses, for user applications and other software
in the Internet. We noted in Section 1.2 that much of the complexity in the Internet architecture is located at the “edges” of the network. The DNS, which implements the critical name-to-
address translation process using clients and servers located at the edge of the network, is yet another example of that design philosophy.
operation here. The interested reader is referred to these RFCs and the book by Albitz and Liu [Albitz 1993]; see also the retrospective paper [Mockapetris 1988], which provides a nice description of the what and why of DNS, and [Mockapetris 2005].
2.4.2 Overview of How DNS Works
We now present a high-level overview of how DNS works. Our discussion will focus on the hostname-to-
IP-address translation service.
Suppose that some application (such as a Web browser or a mail reader) running in a user’s host needs to translate a hostname to an IP address. The application will invoke the client side of DNS, specifying
the hostname that needs to be translated. (On many UNIX-based machines, gethostbyname() is the function call that an application calls in order to perform the translation.) DNS in the user’s host then takes over, sending a query message into the network. All DNS query and reply messages are sent within UDP datagrams to port 53. After a delay, ranging from milliseconds to seconds, DNS in the user’s host receives a DNS reply message that provides the desired mapping. This mapping is then passed to the invoking application. Thus, from the perspective of the invoking application in the user’s host, DNS is a black box providing a simple, straightforward translation service. But in fact, the black box that implements the service is complex, consisting of a large number of DNS servers distributed around the globe, as well as an application-layer protocol that specifies how the DNS servers and querying hosts communicate.
A simple design for DNS would have one DNS server that contains all the mappings. In this centralized design, clients simply direct all queries to the single DNS server, and the DNS server responds directly to the querying clients. Although the simplicity of this design is attractive, it is inappropriate for today’s Internet, with its vast (and growing) number of hosts. The problems with a centralized design include:
A single point of failure. If the DNS server crashes, so does the entire Internet!
Traffic volume. A single DNS server would have to handle all DNS queries (for all the HTTP
requests and e-mail messages generated from hundreds of millions of hosts).
Distant centralized database. A single DNS server cannot be “close to” all the querying clients. If we put the single DNS server in New York City, then all queries from Australia must travel to the
other side of the globe, perhaps over slow and congested links. This can lead to significant delays.
Maintenance. The single DNS server would have to keep records for all Internet hosts. Not only would this centralized database be huge, but it would have to be updated frequently to account for
every new host.
In summary, a centralized database in a single DNS server simply doesn’t scale. Consequently, the DNS is distributed by design. In fact, the DNS is a wonderful example of how a distributed database can
be implemented in the Internet.
A Distributed, Hierarchical Database
In order to deal with the issue of scale, the DNS uses a large number of servers, organized in a hierarchical fashion and distributed around the world. No single DNS server has all of the mappings for all of the hosts in the Internet. Instead, the mappings are distributed across the DNS servers. To a first approximation, there are three classes of DNS servers—root DNS servers, top-level domain (TLD) DNS
servers, and authoritative DNS servers—organized in a hierarchy as shown in Figure 2.17. To understand how these three classes of servers interact, suppose a DNS client wants to determine the IP
address for the hostname www.amazon.com. To a first
Figure 2.17 Portion of the hierarchy of DNS servers
approximation, the following events will take place. The client first contacts one of the root servers,
which returns IP addresses for TLD servers for the top-level domain com. The client then contacts one
of these TLD servers, which returns the IP address of an authoritative server for amazon.com. Finally,
the client contacts one of the authoritative servers for amazon.com, which returns the IP address for
the hostname www.amazon.com. We’ll soon examine this DNS lookup process in more detail. But let’s first take a closer look at these three classes of DNS servers:
Root DNS servers. There are over 400 root name servers scattered all over the world. Figure 2.18 shows the countries that have root names servers, with countries having more than ten darkly
shaded. These root name servers are managed by 13 different organizations. The full list of root name servers, along with the organizations that manage them and their IP addresses can be found
at [Root Servers 2016]. Root name servers provide the IP addresses of the TLD servers. Top-level domain (TLD) servers. For each of the top-level domains — top-level domains such as
com, org, net, edu, and gov, and all of the country top-level domains such as uk, fr, ca, and jp — there is TLD server (or server cluster). The company Verisign Global Registry Services maintains
the TLD servers for the com top-level domain, and the company Educause maintains the TLD servers for the edu top-level domain. The network infrastructure supporting a TLD can be large and
complex; see [Osterweil 2012] for a nice overview of the Verisign network. See [TLD list 2016] for a list of all top-level domains. TLD servers provide the IP addresses for authoritative DNS servers.
Figure 2.18 DNS root servers in 2016
Authoritative DNS servers. Every organization with publicly accessible hosts (such as Web servers and mail servers) on the Internet must provide publicly accessible DNS records that map the names
of those hosts to IP addresses. An organization’s authoritative DNS server houses these DNS records. An organization can choose to implement its own authoritative DNS server to hold these records; alternatively, the organization can pay to have these records stored in an authoritative DNS server of some service provider. Most universities and large companies implement and maintain their own primary and secondary (backup) authoritative DNS server.
The root, TLD, and authoritative DNS servers all belong to the hierarchy of DNS servers, as shown in
Figure 2.17. There is another important type of DNS server called the local DNS server. A local DNS server does not strictly belong to the hierarchy of servers but is nevertheless central to the DNS
architecture. Each ISP—such as a residential ISP or an institutional ISP—has a local DNS server (also called a default name server). When a host connects to an ISP, the ISP provides the host with the IP addresses of one or more of its local DNS servers (typically through DHCP, which is discussed in
Chapter 4). You can easily determine the IP address of your local DNS server by accessing network status windows in Windows or UNIX. A host’s local DNS server is typically “close to” the host. For an
institutional ISP, the local DNS server may be on the same LAN as the host; for a residential ISP, it is typically separated from the host by no more than a few routers. When a host makes a DNS query, the query is sent to the local DNS server, which acts a proxy, forwarding the query into the DNS server hierarchy, as we’ll discuss in more detail below.
Let’s take a look at a simple example. Suppose the host cse.nyu.edu desires the IP address of gaia.cs.umass.edu. Also suppose that NYU’s ocal DNS server for cse.nyu.edu is called
dns.nyu.edu and that an authoritative DNS server for gaia.cs.umass.edu is called
dns.umass.edu. As shown in Figure 2.19, the host cse.nyu.edu first sends a DNS query message to its local DNS server, dns.nyu.edu. The query message contains the hostname to be
translated, namely, gaia.cs.umass.edu. The local DNS server forwards the query message to a root DNS server. The root DNS server takes note of the edu suffix and returns to the local DNS server a
list of IP addresses for TLD servers responsible for edu. The local DNS server then resends the query message to one of these TLD servers. The TLD server takes note of the umass.edu suffix and
responds with the IP address of the authoritative DNS server for the University of Massachusetts, namely, dns.umass.edu. Finally, the local DNS server resends the query message directly to
dns.umass.edu, which responds with the IP address of gaia.cs.umass.edu. Note that in this example, in order to obtain the mapping for one hostname, eight DNS messages were sent: four query messages and four reply messages! We’ll soon see how DNS caching reduces this query traffic.
Our previous example assumed that the TLD server knows the authoritative DNS server for the hostname. In general this not always true. Instead, the TLD server
Figure 2.19 Interaction of the various DNS servers
may know only of an intermediate DNS server, which in turn knows the authoritative DNS server for the hostname. For example, suppose again that the University of Massachusetts has a DNS server for the
university, called dns.umass.edu. Also suppose that each of the departments at the University of Massachusetts has its own DNS server, and that each departmental DNS server is authoritative for all
hosts in the department. In this case, when the intermediate DNS server, dns.umass.edu, receives a query for a host with a hostname ending with cs.umass.edu, it returns to dns.nyu.edu the IP address of dns.cs.umass.edu, which is authoritative for all hostnames ending with cs.umass.edu.
The local DNS server dns.nyu.edu then sends the query to the authoritative DNS server, which returns the desired mapping to the local DNS server, which in turn returns the mapping to the requesting host. In this case, a total of 10 DNS messages are sent!
The example shown in Figure 2.19 makes use of both recursive queries and iterative queries. The query sent from cse.nyu.edu to dns.nyu.edu is a recursive query, since the query asks
dns.nyu.edu to obtain the mapping on its behalf. But the subsequent three queries are iterative since all of the replies are directly returned to dns.nyu.edu. In theory, any DNS query can be iterative or
recursive. For example, Figure 2.20 shows a DNS query chain for which all of the queries are recursive. In practice, the queries typically follow the pattern in Figure 2.19: The query from the requesting host to
the local DNS server is recursive, and the remaining queries are iterative.
DNS Caching
Our discussion thus far has ignored DNS caching, a critically important feature of the DNS system. In truth, DNS extensively exploits DNS caching in order to improve the delay performance and to reduce the number of DNS messages
Figure 2.20 Recursive queries in DNS
ricocheting around the Internet. The idea behind DNS caching is very simple. In a query chain, when a DNS server receives a DNS reply (containing, for example, a mapping from a hostname to an IP
address), it can cache the mapping in its local memory. For example, in Figure 2.19, each time the local DNS server dns.nyu.edu receives a reply from some DNS server, it can cache any of the information contained in the reply. If a hostname/IP address pair is cached in a DNS server and another query arrives to the DNS server for the same hostname, the DNS server can provide the desired IP address, even if it is not authoritative for the hostname. Because hosts and mappings between hostnames and IP addresses are by no means permanent, DNS servers discard cached information after a period of time (often set to two days).
As an example, suppose that a host apricot.nyu.edu queries dns.nyu.edu for the IP address for the hostname cnn.com. Furthermore, suppose that a few hours later, another NYU host, say,
kiwi.nyu.edu, also queries dns.nyu.edu with the same hostname. Because of caching, the local DNS server will be able to immediately return the IP address of cnn.com to this second requesting
host without having to query any other DNS servers. A local DNS server can also cache the IP addresses of TLD servers, thereby allowing the local DNS server to bypass the root DNS servers in a query chain. In fact, because of caching, root servers are bypassed for all but a very small fraction of DNS queries.
2.4.3 DNS Records and Messages
The DNS servers that together implement the DNS distributed database store resource records (RRs), including RRs that provide hostname-to-IP address mappings. Each DNS reply message carries one or more resource records. In this and the following subsection, we provide a brief overview of DNS
resource records and messages; more details can be found in [Albitz 1993] or in the DNS RFCs [RFC 1034; RFC 1035].
A resource record is a four-tuple that contains the following fields:
TTL is the time to live of the resource record; it determines when a resource should be removed from a cache. In the example records given below, we ignore the TTL field. The meaning of Name and Value depend on Type:
If Type=A, then Name is a hostname and Value is the IP address for the hostname. Thus, a Type A record provides the standard hostname-to-IP address mapping. As an example,
(relay1.bar.foo.com, 145.37.93.126, A) is a Type A record.
If Type=NS, then Name is a domain (such as foo.com) and Value is the hostname of an
authoritative DNS server that knows how to obtain the IP addresses for hosts in the domain. This record is used to route DNS queries further along in the query chain. As an example, (foo.com, dns.foo.com, NS) is a Type NS record.
If Type=CNAME, then Value is a canonical hostname for the alias hostname Name. This record can provide querying hosts the canonical name for a hostname. As an example, (foo.com, relay1.bar.foo.com, CNAME) is a CNAME record.
If Type=MX, then Value is the canonical name of a mail server that has an alias hostname Name.
As an example, (foo.com, mail.bar.foo.com, MX) is an MX record. MX records allow the hostnames of mail servers to have simple aliases. Note that by using the MX record, a company can have the same aliased name for its mail server and for one of its other servers (such as its Web server). To obtain the canonical name for the mail server, a DNS client would query for an MX
(Name, Value, Type, TTL)
record; to obtain the canonical name for the other server, the DNS client would query for the CNAME record.
If a DNS server is authoritative for a particular hostname, then the DNS server will contain a Type A record for the hostname. (Even if the DNS server is not authoritative, it may contain a Type A record in its cache.) If a server is not authoritative for a hostname, then the server will contain a Type NS record for the domain that includes the hostname; it will also contain a Type A record that provides the IP
address of the DNS server in the Value field of the NS record. As an example, suppose an edu TLD server is not authoritative for the host gaia.cs.umass.edu. Then this server will contain a record for a domain that includes the host gaia.cs.umass.edu, for example, (umass.edu, dns.umass.edu, NS). The edu TLD server would also contain a Type A record, which maps the DNS server dns.umass.edu to an IP address, for example, (dns.umass.edu, 128.119.40.111, A).
DNS Messages
Earlier in this section, we referred to DNS query and reply messages. These are the only two kinds of DNS messages. Furthermore, both query and reply messages have the same format, as shown in
Figure 2.21.The semantics of the various fields in a DNS message are as follows:
The first 12 bytes is the header section, which has a number of fields. The first field is a 16-bit
number that identifies the query. This identifier is copied into the reply message to a query, allowing the client to match received replies with sent queries. There are a number of flags in the flag field. A 1-bit query/reply flag indicates whether the message is a query (0) or a reply (1). A 1-bit authoritative flag is
Figure 2.21 DNS message format
set in a reply message when a DNS server is an authoritative server for a queried name. A 1-bit recursion-desired flag is set when a client (host or DNS server) desires that the DNS server perform recursion when it doesn’t have the record. A 1-bit recursion-available field is set in a reply if the DNS server supports recursion. In the header, there are also four number-of fields. These fields indicate the number of occurrences of the four types of data sections that follow the header.
The question section contains information about the query that is being made. This section includes (1) a name field that contains the name that is being queried, and (2) a type field that indicates the
type of question being asked about the name—for example, a host address associated with a name (Type A) or the mail server for a name (Type MX).
In a reply from a DNS server, the answer section contains the resource records for the name that
was originally queried. Recall that in each resource record there is the Type (for example, A, NS,
CNAME, and MX), the Value, and the TTL. A reply can return multiple RRs in the answer, since a hostname can have multiple IP addresses (for example, for replicated Web servers, as discussed earlier in this section).
The authority section contains records of other authoritative servers.
The additional section contains other helpful records. For example, the answer field in a reply to an
MX query contains a resource record providing the canonical hostname of a mail server. The additional section contains a Type A record providing the IP address for the canonical hostname of the mail server.
How would you like to send a DNS query message directly from the host you’re working on to some DNS server? This can easily be done with the nslookup program, which is available from most Windows and UNIX platforms. For example, from a Windows host, open the Command Prompt and invoke the nslookup program by simply typing “nslookup.” After invoking nslookup, you can send a DNS query to any DNS server (root, TLD, or authoritative). After receiving the reply message from the DNS server, nslookup will display the records included in the reply (in a human-readable format). As an alternative to running nslookup from your own host, you can visit one of many Web sites that allow you to remotely employ nslookup. (Just type “nslookup” into a search engine and you’ll be brought to one of these sites.) The DNS Wireshark lab at the end of this chapter will allow you to explore the DNS in much more detail.
Inserting Records into the DNS Database
The discussion above focused on how records are retrieved from the DNS database. You might be wondering how records get into the database in the first place. Let’s look at how this is done in the context of a specific example. Suppose you have just created an exciting new startup company called Network Utopia. The first thing you’ll surely want to do is register the domain name
networkutopia.com at a registrar. A registrar is a commercial entity that verifies the uniqueness of the domain name, enters the domain name into the DNS database (as discussed below), and collects a small fee from you for its services. Prior to 1999, a single registrar, Network Solutions, had a monopoly
on domain name registration for com, net, and org domains. But now there are many registrars competing for customers, and the Internet Corporation for Assigned Names and Numbers (ICANN)
accredits the various registrars. A complete list of accredited registrars is available at http:// www.internic.net .
When you register the domain name networkutopia.com with some registrar, you also need to provide the registrar with the names and IP addresses of your primary and secondary authoritative DNS
servers. Suppose the names and IP addresses are dns1.networkutopia.com,
dns2.networkutopia.com, 212.2.212.1, and 212.212.212.2. For each of these two authoritative DNS servers, the registrar would then make sure that a Type NS and a Type A record are entered into the TLD com servers. Specifically, for the primary authoritative server for
networkutopia.com, the registrar would insert the following two resource records into the DNS system:
You’ll also have to make sure that the Type A resource record for your Web server www.networkutopia.com and the Type MX resource record for your mail server mail.networkutopia.com are entered into your authoritative DNS
FOCUS ON SECURITY
DNS VULNERABILITIES
We have seen that DNS is a critical component of the Internet infrastructure, with many important services—including the Web and e-mail—simply incapable of functioning without it. We therefore naturally ask, how can DNS be attacked? Is DNS a sitting duck, waiting to be knocked out of service, while taking most Internet applications down with it?
The first type of attack that comes to mind is a DDoS bandwidth-flooding attack (see Section 1.6) against DNS servers. For example, an attacker could attempt to send to each DNS root
server a deluge of packets, so many that the majority of legitimate DNS queries never get answered. Such a large-scale DDoS attack against DNS root servers actually took place on October 21, 2002. In this attack, the attackers leveraged a botnet to send truck loads of ICMP ping messages to each of the 13 DNS root IP addresses. (ICMP messages are discussed in
(networkutopia.com, dns1.networkutopia.com, NS)
(dns1.networkutopia.com, 212.212.212.1, A)
Section 5.6. For now, it suffices to know that ICMP packets are special types of IP datagrams.) Fortunately, this large-scale attack caused minimal damage, having little or no impact on users’
Internet experience. The attackers did succeed at directing a deluge of packets at the root servers. But many of the DNS root servers were protected by packet filters, configured to always block all ICMP ping messages directed at the root servers. These protected servers were thus spared and functioned as normal. Furthermore, most local DNS servers cache the IP addresses of top-level-domain servers, allowing the query process to often bypass the DNS root servers.
A potentially more effective DDoS attack against DNS would be send a deluge of DNS queries to top-level-domain servers, for example, to all the top-level-domain servers that handle the .com domain. It would be harder to filter DNS queries directed to DNS servers; and top-level-domain servers are not as easily bypassed as are root servers. But the severity of such an attack would be partially mitigated by caching in local DNS servers.
DNS could potentially be attacked in other ways. In a man-in-the-middle attack, the attacker intercepts queries from hosts and returns bogus replies. In the DNS poisoning attack, the attacker sends bogus replies to a DNS server, tricking the server into accepting bogus records into its cache. Either of these attacks could be used, for example, to redirect an unsuspecting Web user to the attacker’s Web site. These attacks, however, are difficult to implement, as they
require intercepting packets or throttling servers [Skoudis 2006].
In summary, DNS has demonstrated itself to be surprisingly robust against attacks. To date,
there hasn’t been an attack that has successfully impeded the DNS service.
servers. (Until recently, the contents of each DNS server were configured statically, for example, from a configuration file created by a system manager. More recently, an UPDATE option has been added to the DNS protocol to allow data to be dynamically added or deleted from the database via DNS
messages. [RFC 2136] and [RFC 3007] specify DNS dynamic updates.)
Once all of these steps are completed, people will be able to visit your Web site and send e-mail to the employees at your company. Let’s conclude our discussion of DNS by verifying that this statement is true. This verification also helps to solidify what we have learned about DNS. Suppose Alice in Australia
wants to view the Web page www.networkutopia.com. As discussed earlier, her host will first send a DNS query to her local DNS server. The local DNS server will then contact a TLD com server. (The
local DNS server will also have to contact a root DNS server if the address of a TLD com server is not cached.) This TLD server contains the Type NS and Type A resource records listed above, because the registrar had these resource records inserted into all of the TLD com servers. The TLD com server sends a reply to Alice’s local DNS server, with the reply containing the two resource records. The local
DNS server then sends a DNS query to 212.212.212.1, asking for the Type A record corresponding to www.networkutopia.com. This record provides the IP address of the desired Web server, say,
212.212.71.4, which the local DNS server passes back to Alice’s host. Alice’s browser can now
initiate a TCP connection to the host 212.212.71.4 and send an HTTP request over the connection. Whew! There’s a lot more going on than what meets the eye when one surfs the Web!
2.5 Peer-to-Peer File Distribution
The applications described in this chapter thus far—including the Web, e-mail, and DNS—all employ client-server architectures with significant reliance on always-on infrastructure servers. Recall from
Section 2.1.1 that with a P2P architecture, there is minimal (or no) reliance on always-on infrastructure servers. Instead, pairs of intermittently connected hosts, called peers, communicate directly with each
other. The peers are not owned by a service provider, but are instead desktops and laptops controlled by users.
In this section we consider a very natural P2P application, namely, distributing a large file from a single server to a large number of hosts (called peers). The file might be a new version of the Linux operating system, a software patch for an existing operating system or application, an MP3 music file, or an MPEG video file. In client-server file distribution, the server must send a copy of the file to each of the peers—placing an enormous burden on the server and consuming a large amount of server bandwidth. In P2P file distribution, each peer can redistribute any portion of the file it has received to any other peers, thereby assisting the server in the distribution process. As of 2016, the most popular P2P file distribution protocol is BitTorrent. Originally developed by Bram Cohen, there are now many different independent BitTorrent clients conforming to the BitTorrent protocol, just as there are a number of Web browser clients that conform to the HTTP protocol. In this subsection, we first examine the self- scalability of P2P architectures in the context of file distribution. We then describe BitTorrent in some detail, highlighting its most important characteristics and features.
Scalability of P2P Architectures
To compare client-server architectures with peer-to-peer architectures, and illustrate the inherent self- scalability of P2P, we now consider a simple quantitative model for distributing a file to a fixed set of
peers for both architecture types. As shown in Figure 2.22, the server and the peers are connected to the Internet with access links. Denote the upload rate of the server’s access link by us, the upload rate of the ith peer’s access link by ui, and the download rate of the ith peer’s access link by di. Also denote the size of the file to be distributed (in bits) by F and the number of peers that want to obtain a copy of the file by N. The distribution time is the time it takes to get
Figure 2.22 An illustrative file distribution problem
a copy of the file to all N peers. In our analysis of the distribution time below, for both client-server and P2P architectures, we make the simplifying (and generally accurate [Akella 2003]) assumption that the
Internet core has abundant bandwidth, implying that all of the bottlenecks are in access networks. We also suppose that the server and clients are not participating in any other network applications, so that all of their upload and download access bandwidth can be fully devoted to distributing this file.
Let’s first determine the distribution time for the client-server architecture, which we denote by Dcs. In the client-server architecture, none of the peers aids in distributing the file. We make the following observations:
The server must transmit one copy of the file to each of the N peers. Thus the server must transmit NF bits. Since the server’s upload rate is us, the time to distribute the file must be at least NF/us.
Let dmin denote the download rate of the peer with the lowest download rate, that is, dmin=min{d1,dp,. . .,dN}. The peer with the lowest download rate cannot obtain all F bits of the file in less than F/dmin seconds. Thus the minimum distribution time is at least F/dmin.
Putting these two observations together, we obtain Dcs≥max{NFus,Fdmin}.
This provides a lower bound on the minimum distribution time for the client-server architecture. In the homework problems you will be asked to show that the server can schedule its transmissions so that the lower bound is actually achieved. So let’s take this lower bound provided above as the actual distribution time, that is,
(2.1) We see from Equation 2.1 that for N large enough, the client-server distribution time is given by NF/us.
Thus, the distribution time increases linearly with the number of peers N. So, for example, if the number of peers from one week to the next increases a thousand-fold from a thousand to a million, the time
required to distribute the file to all peers increases by 1,000.
Let’s now go through a similar analysis for the P2P architecture, where each peer can assist the server in distributing the file. In particular, when a peer receives some file data, it can use its own upload capacity to redistribute the data to other peers. Calculating the distribution time for the P2P architecture is somewhat more complicated than for the client-server architecture, since the distribution time depends on how each peer distributes portions of the file to the other peers. Nevertheless, a simple
expression for the minimal distribution time can be obtained [Kumar 2006]. To this end, we first make the following observations:
At the beginning of the distribution, only the server has the file. To get this file into the community of peers, the server must send each bit of the file at least once into its access link. Thus, the minimum
distribution time is at least F/us. (Unlike the client-server scheme, a bit sent once by the server may not have to be sent by the server again, as the peers may redistribute the bit among themselves.)
As with the client-server architecture, the peer with the lowest download rate cannot obtain all F bits of the file in less than F/dmin seconds. Thus the minimum distribution time is at least F/dmin.
Finally, observe that the total upload capacity of the system as a whole is equal to the upload rate of the server plus the upload rates of each of the individual peers, that is, utotal=us+u1+⋯+uN. The
system must deliver (upload) F bits to each of the N peers, thus delivering a total of NF bits. This cannot be done at a rate faster than utotal. Thus, the minimum distribution time is also at least NF/(us+u1+⋯+uN).
Putting these three observations together, we obtain the minimum distribution time for P2P, denoted by DP2P.
Dcs=max{NFus,Fdmin}
DP2P≥max{Fus,Fdmin,NFus+∑i=1Nui}
(2.2)
Equation 2.2 provides a lower bound for the minimum distribution time for the P2P architecture. It turns out that if we imagine that each peer can redistribute a bit as soon as it receives the bit, then there is a
redistribution scheme that actually achieves this lower bound [Kumar 2006]. (We will prove a special case of this result in the homework.) In reality, where chunks of the file are redistributed rather than
individual bits, Equation 2.2 serves as a good approximation of the actual minimum distribution time. Thus, let’s take the lower bound provided by Equation 2.2 as the actual minimum distribution time, that
is, DP2P=max{Fus,Fdmin,NFus+∑i=1Nui}
(2.3) Figure 2.23 compares the minimum distribution time for the client-server and P2P architectures
assuming that all peers have the same upload rate u. In Figure 2.23, we have set F/u=1 hour, us=10u, and dmin≥us. Thus, a peer can transmit the entire file in one hour, the server transmission rate is 10
times the peer upload rate,
Figure 2.23 Distribution time for P2P and client-server architectures
and (for simplicity) the peer download rates are set large enough so as not to have an effect. We see
from Figure 2.23 that for the client-server architecture, the distribution time increases linearly and without bound as the number of peers increases. However, for the P2P architecture, the minimal
distribution time is not only always less than the distribution time of the client-server architecture; it is
also less than one hour for any number of peers N. Thus, applications with the P2P architecture can be self-scaling. This scalability is a direct consequence of peers being redistributors as well as consumers
of bits.
BitTorrent
BitTorrent is a popular P2P protocol for file distribution [Chao 2011]. In BitTorrent lingo, the collection of
all peers participating in the distribution of a particular file is called a torrent. Peers in a torrent download equal-size chunks of the file from one another, with a typical chunk size of 256 KBytes. When a peer
first joins a torrent, it has no chunks. Over time it accumulates more and more chunks. While it downloads chunks it also uploads chunks to other peers. Once a peer has acquired the entire file, it may (selfishly) leave the torrent, or (altruistically) remain in the torrent and continue to upload chunks to other peers. Also, any peer may leave the torrent at any time with only a subset of chunks, and later rejoin the torrent.
Let’s now take a closer look at how BitTorrent operates. Since BitTorrent is a rather complicated protocol and system, we’ll only describe its most important mechanisms, sweeping some of the details under the rug; this will allow us to see the forest through the trees. Each torrent has an infrastructure
node called a tracker.
Figure 2.24 File distribution with BitTorrent
When a peer joins a torrent, it registers itself with the tracker and periodically informs the tracker that it is still in the torrent. In this manner, the tracker keeps track of the peers that are participating in the torrent. A given torrent may have fewer than ten or more than a thousand peers participating at any instant of time.
As shown in Figure 2.24, when a new peer, Alice, joins the torrent, the tracker randomly selects a subset of peers (for concreteness, say 50) from the set of participating peers, and sends the IP
addresses of these 50 peers to Alice. Possessing this list of peers, Alice attempts to establish concurrent TCP connections with all the peers on this list. Let’s call all the peers with which Alice
succeeds in establishing a TCP connection “neighboring peers.” (In Figure 2.24, Alice is shown to have only three neighboring peers. Normally, she would have many more.) As time evolves, some of these
peers may leave and other peers (outside the initial 50) may attempt to establish TCP connections with Alice. So a peer’s neighboring peers will fluctuate over time.
At any given time, each peer will have a subset of chunks from the file, with different peers having different subsets. Periodically, Alice will ask each of her neighboring peers (over the TCP connections)
for the list of the chunks they have. If Alice has L different neighbors, she will obtain L lists of chunks. With this knowledge, Alice will issue requests (again over the TCP connections) for chunks she currently
does not have.
So at any given instant of time, Alice will have a subset of chunks and will know which chunks her neighbors have. With this information, Alice will have two important decisions to make. First, which chunks should she request first from her neighbors? And second, to which of her neighbors should she send requested chunks? In deciding which chunks to request, Alice uses a technique called rarest first. The idea is to determine, from among the chunks she does not have, the chunks that are the rarest among her neighbors (that is, the chunks that have the fewest repeated copies among her neighbors) and then request those rarest chunks first. In this manner, the rarest chunks get more quickly redistributed, aiming to (roughly) equalize the numbers of copies of each chunk in the torrent.
To determine which requests she responds to, BitTorrent uses a clever trading algorithm. The basic idea
is that Alice gives priority to the neighbors that are currently supplying her data at the highest rate. Specifically, for each of her neighbors, Alice continually measures the rate at which she receives bits
and determines the four peers that are feeding her bits at the highest rate. She then reciprocates by sending chunks to these same four peers. Every 10 seconds, she recalculates the rates and possibly modifies the set of four peers. In BitTorrent lingo, these four peers are said to be unchoked. Importantly, every 30 seconds, she also picks one additional neighbor at random and sends it chunks. Let’s call the randomly chosen peer Bob. In BitTorrent lingo, Bob is said to be optimistically unchoked. Because Alice is sending data to Bob, she may become one of Bob’s top four uploaders, in which case Bob would start to send data to Alice. If the rate at which Bob sends data to Alice is high enough, Bob could then, in turn, become one of Alice’s top four uploaders. In other words, every 30 seconds, Alice will randomly choose a new trading partner and initiate trading with that partner. If the two peers are satisfied with the trading, they will put each other in their top four lists and continue trading with each other until one of the peers finds a better partner. The effect is that peers capable of uploading at compatible rates tend to find each other. The random neighbor selection also allows new peers to get chunks, so that they can have something to trade. All other neighboring peers besides these five peers
(four “top” peers and one probing peer) are “choked,” that is, they do not receive any chunks from Alice. BitTorrent has a number of interesting mechanisms that are not discussed here, including pieces (mini- chunks), pipelining, random first selection, endgame mode, and anti-snubbing [Cohen 2003].
The incentive mechanism for trading just described is often referred to as tit-for-tat [Cohen 2003]. It has been shown that this incentive scheme can be circumvented [Liogkas 2006; Locher 2006; Piatek
2007]. Nevertheless, the BitTorrent ecosystem is wildly successful, with millions of simultaneous peers actively sharing files in hundreds of thousands of torrents. If BitTorrent had been designed without tit-for-
tat (or a variant), but otherwise exactly the same, BitTorrent would likely not even exist now, as the majority of the users would have been freeriders [Saroiu 2002].
We close our discussion on P2P by briefly mentioning another application of P2P, namely, Distributed Hast Table (DHT). A distributed hash table is a simple database, with the database records being distributed over the peers in a P2P system. DHTs have been widely implemented (e.g., in BitTorrent) and have been the subject of extensive research. An overview is provided in a Video Note in the companion website.
Walking though distributed hash tables
2.6 Video Streaming and Content Distribution Networks
Streaming prerecorded video now accounts for the majority of the traffic in residential ISPs in North America. In particular, the Netflix and YouTube services alone consumed a whopping 37% and 16%,
respectively, of residential ISP traffic in 2015 [Sandvine 2015]. In this section we will provide an overview of how popular video streaming services are implemented in today’s Internet. We will see they
are implemented using application-level protocols and servers that function in some ways like a cache.
In Chapter 9, devoted to multimedia networking, we will further examine Internet video as well as other Internet multimedia services.
2.6.1 Internet Video
In streaming stored video applications, the underlying medium is prerecorded video, such as a movie, a television show, a prerecorded sporting event, or a prerecorded user-generated video (such as those commonly seen on YouTube). These prerecorded videos are placed on servers, and users send
requests to the servers to view the videos on demand. Many Internet companies today provide streaming video, including, Netflix, YouTube (Google), Amazon, and Youku.
But before launching into a discussion of video streaming, we should first get a quick feel for the video medium itself. A video is a sequence of images, typically being displayed at a constant rate, for example, at 24 or 30 images per second. An uncompressed, digitally encoded image consists of an array of pixels, with each pixel encoded into a number of bits to represent luminance and color. An important characteristic of video is that it can be compressed, thereby trading off video quality with bit rate. Today’s off-the-shelf compression algorithms can compress a video to essentially any bit rate desired. Of course, the higher the bit rate, the better the image quality and the better the overall user viewing experience.
From a networking perspective, perhaps the most salient characteristic of video is its high bit rate. Compressed Internet video typically ranges from 100 kbps for low-quality video to over 3 Mbps for streaming high-definition movies; 4K streaming envisions a bitrate of more than 10 Mbps. This can translate to huge amount of traffic and storage, particularly for high-end video. For example, a single 2 Mbps video with a duration of 67 minutes will consume 1 gigabyte of storage and traffic. By far, the most important performance measure for streaming video is average end-to-end throughput. In order to provide continuous playout, the network must provide an average throughput to the streaming application that is at least as large as the bit rate of the compressed video.
We can also use compression to create multiple versions of the same video, each at a different quality level. For example, we can use compression to create, say, three versions of the same video, at rates of 300 kbps, 1 Mbps, and 3 Mbps. Users can then decide which version they want to watch as a function of their current available bandwidth. Users with high-speed Internet connections might choose the 3 Mbps version; users watching the video over 3G with a smartphone might choose the 300 kbps version.
2.6.2 HTTP Streaming and DASH
In HTTP streaming, the video is simply stored at an HTTP server as an ordinary file with a specific URL. When a user wants to see the video, the client establishes a TCP connection with the server and issues
an HTTP GET request for that URL. The server then sends the video file, within an HTTP response message, as quickly as the underlying network protocols and traffic conditions will allow. On the client side, the bytes are collected in a client application buffer. Once the number of bytes in this buffer exceeds a predetermined threshold, the client application begins playback—specifically, the streaming video application periodically grabs video frames from the client application buffer, decompresses the frames, and displays them on the user’s screen. Thus, the video streaming application is displaying video as it is receiving and buffering frames corresponding to latter parts of the video.
Although HTTP streaming, as described in the previous paragraph, has been extensively deployed in practice (for example, by YouTube since its inception), it has a major shortcoming: All clients receive the same encoding of the video, despite the large variations in the amount of bandwidth available to a client, both across different clients and also over time for the same client. This has led to the development of a new type of HTTP-based streaming, often referred to as Dynamic Adaptive Streaming over HTTP (DASH). In DASH, the video is encoded into several different versions, with each version having a different bit rate and, correspondingly, a different quality level. The client dynamically requests chunks of video segments of a few seconds in length. When the amount of available bandwidth is high, the client naturally selects chunks from a high-rate version; and when the available bandwidth is low, it naturally selects from a low-rate version. The client selects different chunks one at a time with HTTP GET request
messages [Akhshabi 2011].
DASH allows clients with different Internet access rates to stream in video at different encoding rates. Clients with low-speed 3G connections can receive a low bit-rate (and low-quality) version, and clients with fiber connections can receive a high-quality version. DASH also allows a client to adapt to the available bandwidth if the available end-to-end bandwidth changes during the session. This feature is particularly important for mobile users, who typically see their bandwidth availability fluctuate as they move with respect to the base stations.
With DASH, each video version is stored in the HTTP server, each with a different URL. The HTTP
server also has a manifest file, which provides a URL for each version along with its bit rate. The client first requests the manifest file and learns about the various versions. The client then selects one chunk at a time by specifying a URL and a byte range in an HTTP GET request message for each chunk. While downloading chunks, the client also measures the received bandwidth and runs a rate determination algorithm to select the chunk to request next. Naturally, if the client has a lot of video buffered and if the measured receive bandwidth is high, it will choose a chunk from a high-bitrate version. And naturally if the client has little video buffered and the measured received bandwidth is low, it will choose a chunk from a low-bitrate version. DASH therefore allows the client to freely switch among different quality levels.
2.6.3 Content Distribution Networks
Today, many Internet video companies are distributing on-demand multi-Mbps streams to millions of users on a daily basis. YouTube, for example, with a library of hundreds of millions of videos, distributes hundreds of millions of video streams to users around the world every day. Streaming all this traffic to locations all over the world while providing continuous playout and high interactivity is clearly a challenging task.
For an Internet video company, perhaps the most straightforward approach to providing streaming video service is to build a single massive data center, store all of its videos in the data center, and stream the videos directly from the data center to clients worldwide. But there are three major problems with this approach. First, if the client is far from the data center, server-to-client packets will cross many communication links and likely pass through many ISPs, with some of the ISPs possibly located on different continents. If one of these links provides a throughput that is less than the video consumption rate, the end-to-end throughput will also be below the consumption rate, resulting in annoying freezing
delays for the user. (Recall from Chapter 1 that the end-to-end throughput of a stream is governed by the throughput at the bottleneck link.) The likelihood of this happening increases as the number of links
in the end-to-end path increases. A second drawback is that a popular video will likely be sent many times over the same communication links. Not only does this waste network bandwidth, but the Internet
video company itself will be paying its provider ISP (connected to the data center) for sending the same bytes into the Internet over and over again. A third problem with this solution is that a single data center
represents a single point of failure—if the data center or its links to the Internet goes down, it would not be able to distribute any video streams.
In order to meet the challenge of distributing massive amounts of video data to users distributed around the world, almost all major video-streaming companies make use of Content Distribution Networks (CDNs). A CDN manages servers in multiple geographically distributed locations, stores copies of the videos (and other types of Web content, including documents, images, and audio) in its servers, and attempts to direct each user request to a CDN location that will provide the best user experience. The
CDN may be a private CDN, that is, owned by the content provider itself; for example, Google’s CDN distributes YouTube videos and other types of content. The CDN may alternatively be a third-party CDN that distributes content on behalf of multiple content providers; Akamai, Limelight and Level-3 all
operate third-party CDNs. A very readable overview of modern CDNs is [Leighton 2009; Nygren 2010]. CDNs typically adopt one of two different server placement philosophies [Huang 2008]:
Enter Deep. One philosophy, pioneered by Akamai, is to enter deep into the access networks of Internet Service Providers, by deploying server clusters in access ISPs all over the world. (Access
networks are described in Section 1.3.) Akamai takes this approach with clusters in approximately 1,700 locations. The goal is to get close to end users, thereby improving user-perceived delay and
throughput by decreasing the number of links and routers between the end user and the CDN server from which it receives content. Because of this highly distributed design, the task of maintaining and managing the clusters becomes challenging.
Bring Home. A second design philosophy, taken by Limelight and many other CDN companies, is to bring the ISPs home by building large clusters at a smaller number (for example, tens) of sites.
Instead of getting inside the access ISPs, these CDNs typically place their clusters in Internet
Exchange Points (IXPs) (see Section 1.3). Compared with the enter-deep design philosophy, the bring-home design typically results in lower maintenance and management overhead, possibly at the
expense of higher delay and lower throughput to end users.
Once its clusters are in place, the CDN replicates content across its clusters. The CDN may not want to place a copy of every video in each cluster, since some videos are rarely viewed or are only popular in some countries. In fact, many CDNs do not push videos to their clusters but instead use a simple pull strategy: If a client requests a video from a cluster that is not storing the video, then the cluster retrieves the video (from a central repository or from another cluster) and stores a copy locally while streaming
the video to the client at the same time. Similar Web caching (see Section 2.2.5), when a cluster’s storage becomes full, it removes videos that are not frequently requested.
CDN Operation
Having identified the two major approaches toward deploying a CDN, let’s now dive down into the nuts and bolts of how a CDN operates. When a browser in a user’s
CASE STUDY
GOOGLE’S NETWORK INFRASTRUCTURE
To support its vast array of cloud services—including search, Gmail, calendar, YouTube video, maps, documents, and social networks—Google has deployed an extensive private network and CDN infrastructure. Google’s CDN infrastructure has three tiers of server clusters:
Fourteen “mega data centers,” with eight in North America, four in Europe, and two in Asia
[Google Locations 2016], with each data center having on the order of 100,000 servers. These mega data centers are responsible for serving dynamic (and often personalized)
content, including search results and Gmail messages.
An estimated 50 clusters in IXPs scattered throughout the world, with each cluster consisting
on the order of 100–500 servers [Adhikari 2011a]. These clusters are responsible for
serving static content, including YouTube videos [Adhikari 2011a].
Many hundreds of “enter-deep” clusters located within an access ISP. Here a cluster typically consists of tens of servers within a single rack. These enter-deep servers perform
TCP splitting (see Section 3.7) and serve static content [Chen 2011], including the static portions of Web pages that embody search results.
All of these data centers and cluster locations are networked together with Google’s own private network. When a user makes a search query, often the query is first sent over the local ISP to a nearby enter-deep cache, from where the static content is retrieved; while providing the static content to the client, the nearby cache also forwards the query over Google’s private network to one of the mega data centers, from where the personalized search results are retrieved. For a YouTube video, the video itself may come from one of the bring-home caches, whereas portions of the Web page surrounding the video may come from the nearby enter-deep cache, and the advertisements surrounding the video come from the data centers. In summary, except for the local ISPs, the Google cloud services are largely provided by a network infrastructure that is independent of the public Internet.
host is instructed to retrieve a specific video (identified by a URL), the CDN must intercept the request so that it can (1) determine a suitable CDN server cluster for that client at that time, and (2) redirect the client’s request to a server in that cluster. We’ll shortly discuss how a CDN can determine a suitable cluster. But first let’s examine the mechanics behind intercepting and redirecting a request.
Most CDNs take advantage of DNS to intercept and redirect requests; an interesting discussion of such
a use of the DNS is [Vixie 2009]. Let’s consider a simple example to illustrate how the DNS is typically involved. Suppose a content provider, NetCinema, employs the third-party CDN company, KingCDN, to
distribute its videos to its customers. On the NetCinema Web pages, each of its videos is assigned a URL that includes the string “video” and a unique identifier for the video itself; for example, Transformers
7 might be assigned http://video.netcinema.com/6Y7B23V. Six steps then occur, as shown in Figure 2.25:
1. The user visits the Web page at NetCinema.
2. When the user clicks on the link http://video.netcinema.com/6Y7B23V, the user’s host sends a
DNS query for video.netcinema.com.
3. The user’s Local DNS Server (LDNS) relays the DNS query to an authoritative DNS server for
NetCinema, which observes the string “video” in the hostname video.netcinema.com. To “hand over” the DNS query to KingCDN, instead of returning an IP address, the NetCinema
authoritative DNS server returns to the LDNS a hostname in the KingCDN’s domain, for
example, a1105.kingcdn.com.
4. From this point on, the DNS query enters into KingCDN’s private DNS infrastructure. The user’s
LDNS then sends a second query, now for a1105.kingcdn.com, and KingCDN’s DNS system eventually returns the IP addresses of a KingCDN content server to the LDNS. It is thus here,
within the KingCDN’s DNS system, that the CDN server from which the client will receive its content is specified.
Figure 2.25 DNS redirects a user’s request to a CDN server
5. The LDNS forwards the IP address of the content-serving CDN node to the user’s host.
6. Once the client receives the IP address for a KingCDN content server, it establishes a direct TCP connection with the server at that IP address and issues an HTTP GET request for the
video. If DASH is used, the server will first send to the client a manifest file with a list of URLs, one for each version of the video, and the client will dynamically select chunks from the different versions.
Cluster Selection Strategies
At the core of any CDN deployment is a cluster selection strategy, that is, a mechanism for dynamically directing clients to a server cluster or a data center within the CDN. As we just saw, the
CDN learns the IP address of the client’s LDNS server via the client’s DNS lookup. After learning this IP address, the CDN needs to select an appropriate cluster based on this IP address. CDNs generally employ proprietary cluster selection strategies. We now briefly survey a few approaches, each of which has its own advantages and disadvantages.
One simple strategy is to assign the client to the cluster that is geographically closest. Using commercial geo-location databases (such as Quova [Quova 2016] and Max-Mind [MaxMind 2016]),
each LDNS IP address is mapped to a geographic location. When a DNS request is received from a particular LDNS, the CDN chooses the geographically closest cluster, that is, the cluster that is the fewest kilometers from the LDNS “as the bird flies.” Such a solution can work reasonably well for a large
fraction of the clients [Agarwal 2009]. However, for some clients, the solution may perform poorly, since the geographically closest cluster may not be the closest cluster in terms of the length or number of
hops of the network path. Furthermore, a problem inherent with all DNS-based approaches is that some
end-users are configured to use remotely located LDNSs [Shaikh 2001; Mao 2002], in which case the LDNS location may be far from the client’s location. Moreover, this simple strategy ignores the variation
in delay and available bandwidth over time of Internet paths, always assigning the same cluster to a particular client.
In order to determine the best cluster for a client based on the current traffic conditions, CDNs can instead perform periodic real-time measurements of delay and loss performance between their
clusters and clients. For instance, a CDN can have each of its clusters periodically send probes (for example, ping messages or DNS queries) to all of the LDNSs around the world. One drawback of this approach is that many LDNSs are configured to not respond to such probes.
2.6.4 Case Studies: Netflix, YouTube, and Kankan
We conclude our discussion of streaming stored video by taking a look at three highly successful large- scale deployments: Netflix, YouTube, and Kankan. We’ll see that each of these systems take a very different approach, yet employ many of the underlying principles discussed in this section.
Netflix
Generating 37% of the downstream traffic in residential ISPs in North America in 2015, Netflix has become the leading service provider for online movies and TV series in the United States [Sandvine
2015]. As we discuss below, Netflix video distribution has two major components: the Amazon cloud and its own private CDN infrastructure.
Netflix has a Web site that handles numerous functions, including user registration and login, billing, movie catalogue for browsing and searching, and a movie recommendation system. As shown in Figure
2.26, this Web site (and its associated backend databases) run entirely on Amazon servers in the Amazon cloud. Additionally, the Amazon cloud handles the following critical functions:
Content ingestion. Before Netflix can distribute a movie to its customers, it must first ingest and process the movie. Netflix receives studio master versions of movies and uploads them to hosts in
the Amazon cloud.
Content processing. The machines in the Amazon cloud create many different formats for each movie, suitable for a diverse array of client video players running on desktop computers,
smartphones, and game consoles connected to televisions. A different version is created for each of these formats and at multiple bit rates, allowing for adaptive streaming over HTTP using DASH.
Uploading versions to its CDN. Once all of the versions of a movie have been created, the hosts in the Amazon cloud upload the versions to its CDN.
Figure 2.26 Netflix video streaming platform
When Netflix first rolled out its video streaming service in 2007, it employed three third-party CDN companies to distribute its video content. Netflix has since created its own private CDN, from which it now streams all of its videos. (Netflix still uses Akamai to distribute its Web pages, however.) To create its own CDN, Netflix has installed server racks both in IXPs and within residential ISPs themselves.
Netflix currently has server racks in over 50 IXP locations; see [Netflix Open Connect 2016] for a current list of IXPs housing Netflix racks. There are also hundreds of ISP locations housing Netflix racks;
also see [Netflix Open Connect 2016], where Netflix provides to potential ISP partners instructions about installing a (free) Netflix rack for their networks. Each server in the rack has several 10 Gbps
Ethernet ports and over 100 terabytes of storage. The number of servers in a rack varies: IXP installations often have tens of servers and contain the entire Netflix streaming video library, including multiple versions of the videos to support DASH; local IXPs may only have one server and contain only
the most popular videos. Netflix does not use pull-caching (Section 2.2.5) to populate its CDN servers in the IXPs and ISPs. Instead, Netflix distributes by pushing the videos to its CDN servers during off-
peak hours. For those locations that cannot hold the entire library, Netflix pushes only the most popular videos, which are determined on a day-to-day basis. The Netflix CDN design is described in some detail
in the YouTube videos [Netflix Video 1] and [Netflix Video 2].
Having described the components of the Netflix architecture, let’s take a closer look at the interaction between the client and the various servers that are involved in movie delivery. As indicated earlier, the Web pages for browsing the Netflix video library are served from servers in the Amazon cloud. When a user selects a movie to play, the Netflix software, running in the Amazon cloud, first determines which of its CDN servers have copies of the movie. Among the servers that have the movie, the software then determines the “best” server for that client request. If the client is using a residential ISP that has a Netflix CDN server rack installed in that ISP, and this rack has a copy of the requested movie, then a server in this rack is typically selected. If not, a server at a nearby IXP is typically selected.
Once Netflix determines the CDN server that is to deliver the content, it sends the client the IP address of the specific server as well as a manifest file, which has the URLs for the different versions of the requested movie. The client and that CDN server then directly interact using a proprietary version of
DASH. Specifically, as described in Section 2.6.2, the client uses the byte-range header in HTTP GET request messages, to request chunks from the different versions of the movie. Netflix uses chunks that
are approximately four-seconds long [Adhikari 2012]. While the chunks are being downloaded, the client measures the received throughput and runs a rate-determination algorithm to determine the
quality of the next chunk to request.
Netflix embodies many of the key principles discussed earlier in this section, including adaptive streaming and CDN distribution. However, because Netflix uses its own private CDN, which distributes only video (and not Web pages), Netflix has been able to simplify and tailor its CDN design. In particular,
Netflix does not need to employ DNS redirect, as discussed in Section 2.6.3, to connect a particular client to a CDN server; instead, the Netflix software (running in the Amazon cloud) directly tells the client
to use a particular CDN server. Furthermore, the Netflix CDN uses push caching rather than pull
caching (Section 2.2.5): content is pushed into the servers at scheduled times at off-peak hours, rather than dynamically during cache misses.
YouTube
With 300 hours of video uploaded to YouTube every minute and several billion video views per day [YouTube 2016], YouTube is indisputably the world’s largest video-sharing site. YouTube began its
service in April 2005 and was acquired by Google in November 2006. Although the Google/YouTube design and protocols are proprietary, through several independent measurement efforts we can gain a
basic understanding about how YouTube operates [Zink 2009; Torres 2011; Adhikari 2011a]. As with Netflix, YouTube makes extensive use of CDN technology to distribute its videos [Torres 2011]. Similar
to Netflix, Google uses its own private CDN to distribute YouTube videos, and has installed server clusters in many hundreds of different IXP and ISP locations. From these locations and directly from its
huge data centers, Google distributes YouTube videos [Adhikari 2011a]. Unlike Netflix, however, Google uses pull caching, as described in Section 2.2.5, and DNS redirect, as described in Section
2.6.3. Most of the time, Google’s cluster-selection strategy directs the client to the cluster for which the RTT between client and cluster is the lowest; however, in order to balance the load across clusters,
sometimes the client is directed (via DNS) to a more distant cluster [Torres 2011].
YouTube employs HTTP streaming, often making a small number of different versions available for a video, each with a different bit rate and corresponding quality level. YouTube does not employ adaptive streaming (such as DASH), but instead requires the user to manually select a version. In order to save bandwidth and server resources that would be wasted by repositioning or early termination, YouTube uses the HTTP byte range request to limit the flow of transmitted data after a target amount of video is prefetched.
Several million videos are uploaded to YouTube every day. Not only are YouTube videos streamed from server to client over HTTP, but YouTube uploaders also upload their videos from client to server over HTTP. YouTube processes each video it receives, converting it to a YouTube video format and creating multiple versions at different bit rates. This processing takes place entirely within Google data centers.
(See the case study on Google’s network infrastructure in Section 2.6.3.)
Kankan
We just saw that dedicated servers, operated by private CDNs, stream Netflix and YouTube videos to clients. Netflix and YouTube have to pay not only for the server hardware but also for the bandwidth the servers use to distribute the videos. Given the scale of these services and the amount of bandwidth they are consuming, such a CDN deployment can be costly.
We conclude this section by describing an entirely different approach for providing video on demand over the Internet at a large scale—one that allows the service provider to significantly reduce its infrastructure and bandwidth costs. As you might suspect, this approach uses P2P delivery instead of (or along with) client-server delivery. Since 2011, Kankan (owned and operated by Xunlei) has been
deploying P2P video delivery with great success, with tens of millions of users every month [Zhang 2015].
At a high level, P2P video streaming is very similar to BitTorrent file downloading. When a peer wants to
see a video, it contacts a tracker to discover other peers in the system that have a copy of that video. This requesting peer then requests chunks of the video in parallel from the other peers that have the video. Different from downloading with BitTorrent, however, requests are preferentially made for chunks
that are to be played back in the near future in order to ensure continuous playback [Dhungel 2012]. Recently, Kankan has migrated to a hybrid CDN-P2P streaming system [Zhang 2015]. Specifically,
Kankan now deploys a few hundred servers within China and pushes video content to these servers. This Kankan CDN plays a major role in the start-up stage of video streaming. In most cases, the client requests the beginning of the content from CDN servers, and in parallel requests content from peers. When the total P2P traffic is sufficient for video playback, the client will cease streaming from the CDN and only stream from peers. But if the P2P streaming traffic becomes insufficient, the client will restart CDN connections and return to the mode of hybrid CDN-P2P streaming. In this manner, Kankan can ensure short initial start-up delays while minimally relying on costly infrastructure servers and bandwidth.
2.7 Socket Programming: Creating Network Applications
Now that we’ve looked at a number of important network applications, let’s explore how network
application programs are actually created. Recall from Section 2.1 that a typical network application consists of a pair of programs—a client program and a server program—residing in two different end
systems. When these two programs are executed, a client process and a server process are created, and these processes communicate with each other by reading from, and writing to, sockets. When creating a network application, the developer’s main task is therefore to write the code for both the client and server programs.
There are two types of network applications. One type is an implementation whose operation is specified in a protocol standard, such as an RFC or some other standards document; such an application is sometimes referred to as “open,” since the rules specifying its operation are known to all. For such an implementation, the client and server programs must conform to the rules dictated by the RFC. For example, the client program could be an implementation of the client side of the HTTP
protocol, described in Section 2.2 and precisely defined in RFC 2616; similarly, the server program could be an implementation of the HTTP server protocol, also precisely defined in RFC 2616. If one
developer writes code for the client program and another developer writes code for the server program, and both developers carefully follow the rules of the RFC, then the two programs will be able to interoperate. Indeed, many of today’s network applications involve communication between client and server programs that have been created by independent developers—for example, a Google Chrome browser communicating with an Apache Web server, or a BitTorrent client communicating with BitTorrent tracker.
The other type of network application is a proprietary network application. In this case the client and
server programs employ an application-layer protocol that has not been openly published in an RFC or elsewhere. A single developer (or development team) creates both the client and server programs, and
the developer has complete control over what goes in the code. But because the code does not implement an open protocol, other independent developers will not be able to develop code that interoperates with the application.
In this section, we’ll examine the key issues in developing a client-server application, and we’ll “get our hands dirty” by looking at code that implements a very simple client-server application. During the development phase, one of the first decisions the developer must make is whether the application is to run over TCP or over UDP. Recall that TCP is connection oriented and provides a reliable byte-stream channel through which data flows between two end systems. UDP is connectionless and sends independent packets of data from one end system to the other, without any guarantees about delivery.
Recall also that when a client or server program implements a protocol defined by an RFC, it should use the well-known port number associated with the protocol; conversely, when developing a proprietary application, the developer must be careful to avoid using such well-known port numbers. (Port numbers
were briefly discussed in Section 2.1. They are covered in more detail in Chapter 3.)
We introduce UDP and TCP socket programming by way of a simple UDP application and a simple TCP application. We present the simple UDP and TCP applications in Python 3. We could have written the code in Java, C, or C++, but we chose Python mostly because Python clearly exposes the key socket concepts. With Python there are fewer lines of code, and each line can be explained to the novice programmer without difficulty. But there’s no need to be frightened if you are not familiar with Python. You should be able to easily follow the code if you have experience programming in Java, C, or C++.
If you are interested in client-server programming with Java, you are encouraged to see the Companion Website for this textbook; in fact, you can find there all the examples in this section (and associated labs) in Java. For readers who are interested in client-server programming in C, there are several good
references available [Donahoo 2001; Stevens 1997; Frost 1994; Kurose 1996]; our Python examples below have a similar look and feel to C.
2.7.1 Socket Programming with UDP
In this subsection, we’ll write simple client-server programs that use UDP; in the following section, we’ll write similar programs that use TCP.
Recall from Section 2.1 that processes running on different machines communicate with each other by sending messages into sockets. We said that each process is analogous to a house and the process’s
socket is analogous to a door. The application resides on one side of the door in the house; the transport-layer protocol resides on the other side of the door in the outside world. The application developer has control of everything on the application-layer side of the socket; however, it has little control of the transport-layer side.
Now let’s take a closer look at the interaction between two communicating processes that use UDP sockets. Before the sending process can push a packet of data out the socket door, when using UDP, it must first attach a destination address to the packet. After the packet passes through the sender’s socket, the Internet will use this destination address to route the packet through the Internet to the socket in the receiving process. When the packet arrives at the receiving socket, the receiving process will retrieve the packet through the socket, and then inspect the packet’s contents and take appropriate action.
So you may be now wondering, what goes into the destination address that is attached to the packet?
As you might expect, the destination host’s IP address is part of the destination address. By including the destination IP address in the packet, the routers in the Internet will be able to route the packet through the Internet to the destination host. But because a host may be running many network application processes, each with one or more sockets, it is also necessary to identify the particular
socket in the destination host. When a socket is created, an identifier, called a port number, is assigned to it. So, as you might expect, the packet’s destination address also includes the socket’s port number.
In summary, the sending process attaches to the packet a destination address, which consists of the destination host’s IP address and the destination socket’s port number. Moreover, as we shall soon see, the sender’s source address—consisting of the IP address of the source host and the port number of the source socket—are also attached to the packet. However, attaching the source address to the packet is
typically not done by the UDP application code; instead it is automatically done by the underlying operating system.
We’ll use the following simple client-server application to demonstrate socket programming for both UDP and TCP:
1. The client reads a line of characters (data) from its keyboard and sends the data to the server. 2. The server receives the data and converts the characters to uppercase.
3. The server sends the modified data to the client.
4. The client receives the modified data and displays the line on its screen.
Figure 2.27 highlights the main socket-related activity of the client and server that communicate over the UDP transport service.
Now let’s get our hands dirty and take a look at the client-server program pair for a UDP implementation of this simple application. We also provide a detailed, line-by-line analysis after each program. We’ll begin with the UDP client, which will send a simple application-level message to the server. In order for
Figure 2.27 The client-server application using UDP
the server to be able to receive and reply to the client’s message, it must be ready and running—that is, it must be running as a process before the client sends its message.
The client program is called UDPClient.py, and the server program is called UDPServer.py. In order to emphasize the key issues, we intentionally provide code that is minimal. “Good code” would certainly have a few more auxiliary lines, in particular for handling error cases. For this application, we have arbitrarily chosen 12000 for the server port number.
UDPClient.py
Here is the code for the client side of the application:
from socket import *
serverName = ’hostname’
serverPort = 12000
Now let’s take a look at the various lines of code in UDPClient.py.
The socket module forms the basis of all network communications in Python. By including this line, we will be able to create sockets within our program.
The first line sets the variable serverName to the string ‘hostname’. Here, we provide a string containing either the IP address of the server (e.g., “128.138.32.126”) or the hostname of the server (e.g., “cis.poly.edu”). If we use the hostname, then a DNS lookup will automatically be performed to get
the IP address.) The second line sets the integer variable serverPort to 12000.
This line creates the client’s socket, called clientSocket. The first parameter indicates the address family; in particular, AF_INET indicates that the underlying network is using IPv4. (Do not worry about this now—we will discuss IPv4 in Chapter 4.) The second parameter indicates that the socket is of type
SOCK_DGRAM, which means it is a UDP socket (rather than a TCP socket). Note that we are not specifying the port number of the client socket when we create it; we are instead letting the operating system do this for us. Now that the client process’s door has been created, we will want to create a message to send through the door.
from socket import *
serverName = ’hostname’
serverPort = 12000
clientSocket = socket(AF_INET, SOCK_DGRAM)
clientSocket = socket(AF_INET, SOCK_DGRAM)
message = raw_input(’Input lowercase sentence:’)
clientSocket.sendto(message.encode(),(serverName, serverPort))
modifiedMessage, serverAddress = clientSocket.recvfrom(2048)
print(modifiedMessage.decode())
clientSocket.close()
message = raw_input(’Input lowercase sentence:’)
raw_input() is a built-in function in Python. When this command is executed, the user at the client is prompted with the words “Input lowercase sentence:” The user then uses her keyboard to input a line,
which is put into the variable message. Now that we have a socket and a message, we will want to send the message through the socket to the destination host.
In the above line, we first convert the message from string type to byte type, as we need to send bytes into a socket; this is done with the encode() method. The method sendto() attaches the destination address (serverName, serverPort) to the message and sends the resulting packet into the
process’s socket, clientSocket. (As mentioned earlier, the source address is also attached to the packet, although this is done automatically rather than explicitly by the code.) Sending a client-to-server message via a UDP socket is that simple! After sending the packet, the client waits to receive data from the server.
With the above line, when a packet arrives from the Internet at the client’s socket, the packet’s data is
put into the variable modifiedMessage and the packet’s source address is put into the variable
serverAddress. The variable serverAddress contains both the server’s IP address and the server’s port number. The program UDPClient doesn’t actually need this server address information, since it already knows the server address from the outset; but this line of Python provides the server
address nevertheless. The method recvfrom also takes the buffer size 2048 as input. (This buffer size works for most purposes.)
This line prints out modifiedMessage on the user’s display, after converting the message from bytes to string. It should be the original line that the user typed, but now capitalized.
clientSocket.sendto(message.encode(),(serverName, serverPort))
modifiedMessage, serverAddress = clientSocket.recvfrom(2048)
print(modifiedMessage.decode())
clientSocket.close()
This line closes the socket. The process then terminates.
UDPServer.py
Let’s now take a look at the server side of the application:
from socket import *
serverPort = 12000
serverSocket = socket(AF_INET, SOCK_DGRAM)
serverSocket.bind((’’, serverPort))
print(”The server is ready to receive”)
while True:
message, clientAddress = serverSocket.recvfrom(2048)
modifiedMessage = message.decode().upper()
serverSocket.sendto(modifiedMessage.encode(), clientAddress)
Note that the beginning of UDPServer is similar to UDPClient. It also imports the socket module, also
sets the integer variable serverPort to 12000, and also creates a socket of type SOCK_DGRAM (a UDP socket). The first line of code that is significantly different from UDPClient is:
The above line binds (that is, assigns) the port number 12000 to the server’s socket. Thus in UDPServer, the code (written by the application developer) is explicitly assigning a port number to the socket. In this manner, when anyone sends a packet to port 12000 at the IP address of the server, that packet will be directed to this socket. UDPServer then enters a while loop; the while loop will allow UDPServer to receive and process packets from clients indefinitely. In the while loop, UDPServer waits for a packet to arrive.
This line of code is similar to what we saw in UDPClient. When a packet arrives at the server’s socket, the packet’s data is put into the variable message and the packet’s source address is put into the variable clientAddress. The variable clientAddress contains both the client’s IP address and the client’s port number. Here, UDPServer will make use of this address information, as it provides a return
serverSocket.bind((’’, serverPort))
message, clientAddress = serverSocket.recvfrom(2048)
address, similar to the return address with ordinary postal mail. With this source address information, the server now knows to where it should direct its reply.
This line is the heart of our simple application. It takes the line sent by the client and, after converting the message to a string, uses the method upper() to capitalize it.
This last line attaches the client’s address (IP address and port number) to the capitalized message (after converting the string to bytes), and sends the resulting packet into the server’s socket. (As mentioned earlier, the server address is also attached to the packet, although this is done automatically rather than explicitly by the code.) The Internet will then deliver the packet to this client address. After the server sends the packet, it remains in the while loop, waiting for another UDP packet to arrive (from any client running on any host).
To test the pair of programs, you run UDPClient.py on one host and UDPServer.py on another host. Be sure to include the proper hostname or IP address of the server in UDPClient.py. Next, you execute UDPServer.py, the compiled server program, in the server host. This creates a process in the server that idles until it is contacted by some client. Then you execute UDPClient.py, the compiled client program, in the client. This creates a process in the client. Finally, to use the application at the client, you type a sentence followed by a carriage return.
To develop your own UDP client-server application, you can begin by slightly modifying the client or server programs. For example, instead of converting all the letters to uppercase, the server could count
the number of times the letter s appears and return this number. Or you can modify the client so that after receiving a capitalized sentence, the user can continue to send more sentences to the server.
2.7.2 Socket Programming with TCP
Unlike UDP, TCP is a connection-oriented protocol. This means that before the client and server can start to send data to each other, they first need to handshake and establish a TCP connection. One end of the TCP connection is attached to the client socket and the other end is attached to a server socket. When creating the TCP connection, we associate with it the client socket address (IP address and port
modifiedMessage = message.decode().upper()
serverSocket.sendto(modifiedMessage.encode(), clientAddress)
number) and the server socket address (IP address and port number). With the TCP connection established, when one side wants to send data to the other side, it just drops the data into the TCP connection via its socket. This is different from UDP, for which the server must attach a destination address to the packet before dropping it into the socket.
Now let’s take a closer look at the interaction of client and server programs in TCP. The client has the job of initiating contact with the server. In order for the server to be able to react to the client’s initial contact, the server has to be ready. This implies two things. First, as in the case of UDP, the TCP server must be running as a process before the client attempts to initiate contact. Second, the server program must have a special door—more precisely, a special socket—that welcomes some initial contact from a client process running on an arbitrary host. Using our house/door analogy for a process/socket, we will sometimes refer to the client’s initial contact as “knocking on the welcoming door.”
With the server process running, the client process can initiate a TCP connection to the server. This is done in the client program by creating a TCP socket. When the client creates its TCP socket, it specifies the address of the welcoming socket in the server, namely, the IP address of the server host and the port number of the socket. After creating its socket, the client initiates a three-way handshake and establishes a TCP connection with the server. The three-way handshake, which takes place within the transport layer, is completely invisible to the client and server programs.
During the three-way handshake, the client process knocks on the welcoming door of the server
process. When the server “hears” the knocking, it creates a new door—more precisely, a new socket that is dedicated to that particular client. In our example below, the welcoming door is a TCP socket
object that we call serverSocket; the newly created socket dedicated to the client making the
connection is called connectionSocket. Students who are encountering TCP sockets for the first time sometimes confuse the welcoming socket (which is the initial point of contact for all clients wanting to communicate with the server), and each newly created server-side connection socket that is subsequently created for communicating with each client.
From the application’s perspective, the client’s socket and the server’s connection socket are directly
connected by a pipe. As shown in Figure 2.28, the client process can send arbitrary bytes into its socket, and TCP guarantees that the server process will receive (through the connection socket) each
byte in the order sent. TCP thus provides a reliable service between the client and server processes. Furthermore, just as people can go in and out the same door, the client process not only sends bytes into but also receives bytes from its socket; similarly, the server process not only receives bytes from but also sends bytes into its connection socket.
We use the same simple client-server application to demonstrate socket programming with TCP: The client sends one line of data to the server, the server capitalizes the line and sends it back to the client.
Figure 2.29 highlights the main socket-related activity of the client and server that communicate over
the TCP transport service.
Figure 2.28 The TCPServer process has two sockets TCPClient.py
Here is the code for the client side of the application:
from socket import *
serverName = ’servername’
serverPort = 12000
clientSocket = socket(AF_INET, SOCK_STREAM)
clientSocket.connect((serverName, serverPort))
sentence = raw_input(’Input lowercase sentence:’)
clientSocket.send(sentence.encode())
modifiedSentence = clientSocket.recv(1024)
print(’From Server: ’, modifiedSentence.decode())
clientSocket.close()
Let’s now take a look at the various lines in the code that differ significantly from the UDP implementation. The first such line is the creation of the client socket.
This line creates the client’s socket, called clientSocket. The first parameter again indicates that the underlying network is using IPv4. The second parameter
Figure 2.29 The client-server application using TCP
indicates that the socket is of type SOCK_STREAM, which means it is a TCP socket (rather than a UDP socket). Note that we are again not specifying the port number of the client socket when we create it; we are instead letting the operating system do this for us. Now the next line of code is very different from what we saw in UDPClient:
clientSocket = socket(AF_INET, SOCK_STREAM)
Recall that before the client can send data to the server (or vice versa) using a TCP socket, a TCP connection must first be established between the client and server. The above line initiates the TCP
connection between the client and server. The parameter of the connect() method is the address of the server side of the connection. After this line of code is executed, the three-way handshake is performed and a TCP connection is established between the client and server.
As with UDPClient, the above obtains a sentence from the user. The string sentence continues to gather characters until the user ends the line by typing a carriage return. The next line of code is also very different from UDPClient:
The above line sends the sentence through the client’s socket and into the TCP connection. Note that the program does not explicitly create a packet and attach the destination address to the packet, as was
the case with UDP sockets. Instead the client program simply drops the bytes in the string sentence into the TCP connection. The client then waits to receive bytes from the server.
When characters arrive from the server, they get placed into the string modifiedSentence. Characters continue to accumulate in modifiedSentence until the line ends with a carriage return
character. After printing the capitalized sentence, we close the client’s socket:
This last line closes the socket and, hence, closes the TCP connection between the client and the server. It causes TCP in the client to send a TCP message to TCP in the server (see Section 3.5).
sentence = raw_input(’Input lowercase sentence:’)
clientSocket.send(sentence.encode())
modifiedSentence = clientSocket.recv(2048)
clientSocket.close()
clientSocket.connect((serverName, serverPort))
TCPServer.py
Now let’s take a look at the server program.
from socket import *
serverPort = 12000
serverSocket = socket(AF_INET, SOCK_STREAM)
serverSocket.bind((’’, serverPort))
serverSocket.listen(1)
print(’The server is ready to receive’)
while True:
connectionSocket, addr = serverSocket.accept()
sentence = connectionSocket.recv(1024).decode()
capitalizedSentence = sentence.upper()
connectionSocket.send(capitalizedSentence.encode())
connectionSocket.close()
Let’s now take a look at the lines that differ significantly from UDPServer and TCPClient. As with TCPClient, the server creates a TCP socket with:
Similar to UDPServer, we associate the server port number, serverPort, with this socket:
But with TCP, serverSocket will be our welcoming socket. After establishing this welcoming door, we will wait and listen for some client to knock on the door:
This line has the server listen for TCP connection requests from the client. The parameter specifies the maximum number of queued connections (at least 1).
serverSocket=socket(AF_INET, SOCK_STREAM)
serverSocket.bind((’’, serverPort))
serverSocket.listen(1)
connectionSocket, addr = serverSocket.accept()
When a client knocks on this door, the program invokes the accept() method for serverSocket, which creates a new socket in the server, called connectionSocket, dedicated to this particular client.
The client and server then complete the handshaking, creating a TCP connection between the client’s
clientSocket and the server’s connectionSocket. With the TCP connection established, the client and server can now send bytes to each other over the connection. With TCP, all bytes sent from one side not are not only guaranteed to arrive at the other side but also guaranteed arrive in order.
In this program, after sending the modified sentence to the client, we close the connection socket. But
since serverSocket remains open, another client can now knock on the door and send the server a sentence to modify.
This completes our discussion of socket programming in TCP. You are encouraged to run the two programs in two separate hosts, and also to modify them to achieve slightly different goals. You should compare the UDP program pair with the TCP program pair and see how they differ. You should also do
many of the socket programming assignments described at the ends of Chapter 2, 4, and 9. Finally, we hope someday, after mastering these and more advanced socket programs, you will write your own
popular network application, become very rich and famous, and remember the authors of this textbook!
connectionSocket.close()
2.8 Summary
In this chapter, we’ve studied the conceptual and the implementation aspects of network applications. We’ve learned about the ubiquitous client-server architecture adopted by many Internet applications and seen its use in the HTTP, SMTP, POP3, and DNS protocols. We’ve studied these important application- level protocols, and their corresponding associated applications (the Web, file transfer, e-mail, and DNS) in some detail. We’ve learned about the P2P architecture and how it is used in many applications. We’ve also learned about streaming video, and how modern video distribution systems leverage CDNs. We’ve examined how the socket API can be used to build network applications. We’ve walked through the use of sockets for connection-oriented (TCP) and connectionless (UDP) end-to-end transport services. The first step in our journey down the layered network architecture is now complete!
At the very beginning of this book, in Section 1.1, we gave a rather vague, bare-bones definition of a protocol: “the format and the order of messages exchanged between two or more communicating
entities, as well as the actions taken on the transmission and/or receipt of a message or other event.” The material in this chapter, and in particular our detailed study of the HTTP, SMTP, POP3, and DNS protocols, has now added considerable substance to this definition. Protocols are a key concept in networking; our study of application protocols has now given us the opportunity to develop a more intuitive feel for what protocols are all about.
In Section 2.1, we described the service models that TCP and UDP offer to applications that invoke them. We took an even closer look at these service models when we developed simple applications that
run over TCP and UDP in Section 2.7. However, we have said little about how TCP and UDP provide these service models. For example, we know that TCP provides a reliable data service, but we haven’t
said yet how it does so. In the next chapter we’ll take a careful look at not only the what, but also the how and why of transport protocols.
Equipped with knowledge about Internet application structure and application-level protocols, we’re now ready to head further down the protocol stack and examine the transport layer in Chapter 3.
Homework Problems and Questions
Chapter 2 Review Questions
SECTION 2.1
R1. List five nonproprietary Internet applications and the application-layer protocols that they use.
R2. What is the difference between network architecture and application architecture?
R3. For a communication session between a pair of processes, which process is the client and which is the server?
R4. For a P2P file-sharing application, do you agree with the statement, “There is no notion of client and server sides of a communication session”? Why or why not?
R5. What information is used by a process running on one host to identify a process running on another host?
R6. Suppose you wanted to do a transaction from a remote client to a server as fast as possible. Would you use UDP or TCP? Why?
R7. Referring to Figure 2.4 , we see that none of the applications listed in Figure 2.4 requires both no data loss and timing. Can you conceive of an application that requires no data loss and
that is also highly time-sensitive?
R8. List the four broad classes of services that a transport protocol can provide. For each of the service classes, indicate if either UDP or TCP (or both) provides such a service.
R9. Recall that TCP can be enhanced with SSL to provide process-to-process security services, including encryption. Does SSL operate at the transport layer or the application layer? If the
application developer wants TCP to be enhanced with SSL, what does the developer have to do?
SECTION 2.2–2.5
R10. What is meant by a handshaking protocol?
R11. Why do HTTP, SMTP, and POP3 run on top of TCP rather than on UDP?
R12. Consider an e-commerce site that wants to keep a purchase record for each of its customers. Describe how this can be done with cookies.
R13. Describe how Web caching can reduce the delay in receiving a requested object. Will Web caching reduce the delay for all objects requested by a user or for only some of the objects?
Why?
R14. Telnet into a Web server and send a multiline request message. Include in the request message the If-modified-since: header line to force a response message with the 304 Not Modified status code.
R15. List several popular messaging apps. Do they use the same protocols as SMS?
R16. Suppose Alice, with a Web-based e-mail account (such as Hotmail or Gmail), sends a message to Bob, who accesses his mail from his mail server using POP3. Discuss how the
message gets from Alice’s host to Bob’s host. Be sure to list the series of application-layer protocols that are used to move the message between the two hosts.
R17. Print out the header of an e-mail message you have recently received. How many Received: header lines are there? Analyze each of the header lines in the message.
R18. From a user’s perspective, what is the difference between the download-and-delete mode and the download-and-keep mode in POP3?
R19. Is it possible for an organization’s Web server and mail server to have exactly the same alias for a hostname (for example, foo.com)? What would be the type for the RR that contains the hostname of the mail server?
R20. Look over your received e-mails, and examine the header of a message sent from a user with a .edu e-mail address. Is it possible to determine from the header the IP address of the host
from which the message was sent? Do the same for a message sent from a Gmail account.
SECTION 2.5
R21. In BitTorrent, suppose Alice provides chunks to Bob throughout a 30-second interval. Will Bob necessarily return the favor and provide chunks to Alice in this same interval? Why or why
not?
R22. Consider a new peer Alice that joins BitTorrent without possessing any chunks. Without any chunks, she cannot become a top-four uploader for any of the other peers, since she has
nothing to upload. How then will Alice get her first chunk?
R23. What is an overlay network? Does it include routers? What are the edges in the overlay network?
SECTION 2.6
R24. CDNs typically adopt one of two different server placement philosophies. Name and briefly describe them.
R25. Besides network-related considerations such as delay, loss, and bandwidth performance, there are other important factors that go into designing a CDN server selection strategy. What
are they?
SECTION 2.7
R26. In Section 2.7, the UDP server described needed only one socket, whereas the TCP server
needed two sockets. Why? If the TCP server were to support n simultaneous connections, each from a different client host, how many sockets would the TCP server need?
R27. For the client-server application over TCP described in Section 2.7 , why must the server program be executed before the client program? For the client-server application over UDP, why
may the client program be executed before the server program?
Problems
P1. True or false?
a. A user requests a Web page that consists of some text and three images. For this page, the client will send one request message and receive four response messages.
b. Two distinct Web pages (for example, www.mit.edu/research.html and
www.mit.edu/students.html) can be sent over the same persistent connection.
c. With nonpersistent connections between browser and origin server, it is possible for a single TCP segment to carry two distinct HTTP request messages.
d. The Date: header in the HTTP response message indicates when the object in the response was last modified.
e. HTTP response messages never have an empty message body.
P2. SMS, iMessage, and WhatsApp are all smartphone real-time messaging systems. After doing some research on the Internet, for each of these systems write one paragraph about the
protocols they use. Then write a paragraph explaining how they differ.
P3. Consider an HTTP client that wants to retrieve a Web document at a given URL. The IP address of the HTTP server is initially unknown. What transport and application-layer protocols
besides HTTP are needed in this scenario?
P4. Consider the following string of ASCII characters that were captured by Wireshark when the browser sent an HTTP GET message (i.e., this is the actual content of an HTTP GET message).
The characters
contained at that point in the HTTP header). Answer the following questions, indicating where in the HTTP GET message below you find the answer.
GET /cs453/index.html HTTP/1.1
a.cs.umass.edu
Windows;U; Windows NT 5.1; en-US; rv:1.7.2) Gec
ko/20040804 Netscape/7.2 (ax)
a. What is the URL of the document requested by the browser?
b. What version of HTTP is the browser running?
c. Does the browser request a non-persistent or a persistent connection?
d. What is the IP address of the host on which the browser is running?
e. What type of browser initiates this message? Why is the browser type needed in an HTTP request message?
P5. The text below shows the reply sent from the server in response to the HTTP GET message in the question above. Answer the following questions, indicating where in the message below
you find the answer.
HTTP/1.1 200 OK
12:39:45GMT
GMT
Ranges: bytes
Keep-Alive: timeout=max=100
Keep-Alive
ISO-8859-1
a. Was the server able to successfully find the document or not? What time was the document reply provided?
b. When was the document last modified?
c. How many bytes are there in the document being returned?
d. What are the first 5 bytes of the document being returned? Did the server agree to a
t/xml, application/xml, application/xhtml+xml, text
/html;q=0.9, text/plain;q=0.8, image/png,*/*;q=0.5
Encoding: zip, deflate
-8859-1, utf-8;q=0.7,*;q=0.7
persistent connection?
P6. Obtain the HTTP/1.1 specification (RFC 2616). Answer the following questions:
a. Explain the mechanism used for signaling between the client and server to indicate that a persistent connection is being closed. Can the client, the server, or both signal the close
of a connection?
b. What encryption services are provided by HTTP?
c. Can a client open three or more simultaneous connections with a given server?
d. Either a server or a client may close a transport connection between them if either one detects the connection has been idle for some time. Is it possible that one side starts
closing a connection while the other side is transmitting data via this connection? Explain.
P7. Suppose within your Web browser you click on a link to obtain a Web page. The IP address for the associated URL is not cached in your local host, so a DNS lookup is necessary to obtain
the IP address. Suppose that n DNS servers are visited before your host receives the IP address from DNS; the successive visits incur an RTT of RTT1,. . .,RTTn. Further suppose that the Web
page associated with the link contains exactly one object, consisting of a small amount of HTML
text. Let RTT0 denote the RTT between the local host and the server containing the object. Assuming zero transmission time of the object, how much time elapses from when the client clicks on the link until the client receives the object?
P8. Referring to Problem P7, suppose the HTML file references eight very small objects on the same server. Neglecting transmission times, how much time elapses with
a. Non-persistent HTTP with no parallel TCP connections?
b. Non-persistent HTTP with the browser configured for 5 parallel connections? c. Persistent HTTP?
P9. Consider Figure 2.12 , for which there is an institutional network connected to the Internet. Suppose that the average object size is 850,000 bits and that the average request rate from the
institution’s browsers to the origin servers is 16 requests per second. Also suppose that the amount of time it takes from when the router on the Internet side of the access link forwards an
HTTP request until it receives the response is three seconds on average (see Section 2.2.5). Model the total average response time as the sum of the average access delay (that is, the delay
from Internet router to institution router) and the average Internet delay. For the average access delay, use Δ/(1−Δβ), where Δ is the average time required to send an object over the access link and b is the arrival rate of objects to the access link.
a. Find the total average response time.
b. Now suppose a cache is installed in the institutional LAN. Suppose the miss rate is 0.4. Find the total response time.
P10. Consider a short, 10-meter link, over which a sender can transmit at a rate of 150 bits/sec in both directions. Suppose that packets containing data are 100,000 bits long, and packets
containing only control (e.g., ACK or handshaking) are 200 bits long. Assume that N parallel connections each get 1/N of the link bandwidth. Now consider the HTTP protocol, and suppose
that each downloaded object is 100 Kbits long, and that the initial downloaded object contains 10 referenced objects from the same sender. Would parallel downloads via parallel instances of non-persistent HTTP make sense in this case? Now consider persistent HTTP. Do you expect significant gains over the non-persistent case? Justify and explain your answer.
P11. Consider the scenario introduced in the previous problem. Now suppose that the link is shared by Bob with four other users. Bob uses parallel instances of non-persistent HTTP, and
the other four users use non-persistent HTTP without parallel downloads.
a. Do Bob’s parallel connections help him get Web pages more quickly? Why or why not?
b. If all five users open five parallel instances of non-persistent HTTP, then would Bob’s parallel connections still be beneficial? Why or why not?
P12. Write a simple TCP program for a server that accepts lines of input from a client and prints the lines onto the server’s standard output. (You can do this by modifying the TCPServer.py
program in the text.) Compile and execute your program. On any other machine that contains a Web browser, set the proxy server in the browser to the host that is running your server program; also configure the port number appropriately. Your browser should now send its GET request messages to your server, and your server should display the messages on its standard output. Use this platform to determine whether your browser generates conditional GET messages for objects that are locally cached.
P13. What is the difference between MAIL FROM: in SMTP and From: in the mail message itself?
P14. How does SMTP mark the end of a message body? How about HTTP? Can HTTP use the same method as SMTP to mark the end of a message body? Explain.
P15. Read RFC 5321 for SMTP. What does MTA stand for? Consider the following received spam e-mail (modified from a real spam e-mail). Assuming only the originator of this spam e-mail
is malicious and all other hosts are honest, identify the malacious host that has generated this spam e-mail.
From – Fri Nov 07 13:41:30 2008
Return-Path:
Received: from barmail.cs.umass.edu (barmail.cs.umass.edu
[128.119.240.3]) by cs.umass.edu (8.13.1/8.12.6) for
Received: from asusus-4b96 (localhost [127.0.0.1]) by
barmail.cs.umass.edu (Spam Firewall) for
P16. Read the POP3 RFC, RFC 1939. What is the purpose of the UIDL POP3 command? P17. Consider accessing your e-mail with POP3.
a. Suppose you have configured your POP mail client to operate in the download-and- delete mode. Complete the following transaction:
C: list S: 1 498 S: 2 912
S: .
C: retr 1
S: blah blah … S: ……….blah
S: . ?
?
b. Suppose you have configured your POP mail client to operate in the download-and-keep mode. Complete the following transaction:
Nov 2008 13:27:07 -0500 (EST)
Received: from asusus-4b96 ([58.88.21.177]) by barmail.cs.umass.edu
for
Received: from [58.88.21.177] by inbnd55.exchangeddd.com; Sat, 8
Nov 2008 01:27:07 +0700
From: ”Jonny”
To:
Subject: How to secure your savings
C: list S: 1 498 S: 2 912
S: .
C: retr 1
S: blah blah … S: ……….blah
S: . ?
c. Suppose you have configured your POP mail client to operate in the download-and-keep mode. Using your transcript in part (b), suppose you retrieve messages 1 and 2, exit
POP, and then five minutes later you again access POP to retrieve new e-mail. Suppose that in the five-minute interval no new messages have been sent to you. Provide a transcript of this second POP session.
P18.
a. What is a whois database?
b. Use various whois databases on the Internet to obtain the names of two DNS servers. Indicate which whois databases you used.
c. Use nslookup on your local host to send DNS queries to three DNS servers: your local DNS server and the two DNS servers you found in part (b). Try querying for Type A, NS,
and MX reports. Summarize your findings.
d. Use nslookup to find a Web server that has multiple IP addresses. Does the Web server of your institution (school or company) have multiple IP addresses?
e. Use the ARIN whois database to determine the IP address range used by your university.
f. Describe how an attacker can use whois databases and the nslookup tool to perform reconnaissance on an institution before launching an attack.
g. Discuss why whois databases should be publicly available.
P19. In this problem, we use the useful dig tool available on Unix and Linux hosts to explore the
hierarchy of DNS servers. Recall that in Figure 2.19 , a DNS server in the DNS hierarchy delegates a DNS query to a DNS server lower in the hierarchy, by sending back to the DNS
client the name of that lower-level DNS server. First read the man page for dig, and then answer the following questions.
a. Starting with a root DNS server (from one of the root servers [a-m].root-servers.net), initiate a sequence of queries for the IP address for your department’s Web server by
using dig. Show the list of the names of DNS servers in the delegation chain in answering your query.
b. Repeat part (a) for several popular Web sites, such as google.com, yahoo.com, or amazon.com.
P20. Suppose you can access the caches in the local DNS servers of your department. Can you propose a way to roughly determine the Web servers (outside your department) that are most
popular among the users in your department? Explain.
P21. Suppose that your department has a local DNS server for all computers in the department.
?
You are an ordinary user (i.e., not a network/system administrator). Can you determine if an external Web site was likely accessed from a computer in your department a couple of seconds ago? Explain.
P22. Consider distributing a file of F=15 Gbits to N peers. The server has an upload rate of us=30 Mbps, and each peer has a download rate of di=2 Mbps and an upload rate of u. For
N=10, 100, and 1,000 and u=300 Kbps, 700 Kbps, and 2 Mbps, prepare a chart giving the
minimum distribution time for each of the combinations of N and u for both client-server distribution and P2P distribution.
P23. Consider distributing a file of F bits to N peers using a client-server architecture. Assume a fluid model where the server can simultaneously transmit to multiple peers, transmitting to each
peer at different rates, as long as the combined rate does not exceed us.
a. Suppose that us/N≤dmin. Specify a distribution scheme that has a distribution time of
NF/us.
b. Suppose that us/N≥dmin. Specify a distribution scheme that has a distribution time of
F/dmin.
c. Conclude that the minimum distribution time is in general given by max{NF/us, F/dmin}.
P24. Consider distributing a file of F bits to N peers using a P2P architecture. Assume a fluid model. For simplicity assume that dmin is very large, so that peer download bandwidth is never a
bottleneck.
a. Suppose that us≤(us+u1+…+uN)/N. Specify a distribution scheme that has a distribution time of F/us.
b. Suppose that us≥(us+u1+…+uN)/N. Specify a distribution scheme that has a distribution time of NF/(us+u1+…+uN).
c. Conclude that the minimum distribution time is in general given by max{F/us, NF/(us+u1+…+uN)}.
P25. Consider an overlay network with N active peers, with each pair of peers having an active TCP connection. Additionally, suppose that the TCP connections pass through a total of M
routers. How many nodes and edges are there in the corresponding overlay network?
P26. Suppose Bob joins a BitTorrent torrent, but he does not want to upload any data to any other peers (so called free-riding).
a. Bob claims that he can receive a complete copy of the file that is shared by the swarm. Is Bob’s claim possible? Why or why not?
b. Bob further claims that he can further make his “free-riding” more efficient by using a collection of multiple computers (with distinct IP addresses) in the computer lab in his
department. How can he do that?
P27. Consider a DASH system for which there are N video versions (at N different rates and qualities) and N audio versions (at N different rates and qualities). Suppose we want to allow the
player to choose at any time any of the N video versions and any of the N audio versions.
a. If we create files so that the audio is mixed in with the video, so server sends only one
media stream at given time, how many files will the server need to store (each a different URL)?
b. If the server instead sends the audio and video streams separately and has the client synchronize the streams, how many files will the server need to store?
P28. Install and compile the Python programs TCPClient and UDPClient on one host and TCPServer and UDPServer on another host.
a. Suppose you run TCPClient before you run TCPServer. What happens? Why? b. Suppose you run UDPClient before you run UDPServer. What happens? Why? c. What happens if you use different port numbers for the client and server sides?
P29. Suppose that in UDPClient.py, after we create the socket, we add the line:
Will it become necessary to change UDPServer.py? What are the port numbers for the sockets in UDPClient and UDPServer? What were they before making this change?
P30. Can you configure your browser to open multiple simultaneous connections to a Web site? What are the advantages and disadvantages of having a large number of simultaneous TCP
connections?
P31. We have seen that Internet TCP sockets treat the data being sent as a byte stream but UDP sockets recognize message boundaries. What are one advantage and one disadvantage of
byte-oriented API versus having the API explicitly recognize and preserve application-defined message boundaries?
P32. What is the Apache Web server? How much does it cost? What functionality does it currently have? You may want to look at Wikipedia to answer this question.
Socket Programming Assignments
The Companion Website includes six socket programming assignments. The first four assignments are summarized below. The fifth assignment makes use of the ICMP protocol and is summarized at the end
of Chapter 5. The sixth assignment employs multimedia protocols and is summarized at the end of Chapter 9. It is highly recommended that students complete several, if not all, of these assignments.
Students can find full details of these assignments, as well as important snippets of the Python code, at the Web site www.pearsonhighered.com/cs-resources.
clientSocket.bind((’’, 5432))
Assignment 1: Web Server
In this assignment, you will develop a simple Web server in Python that is capable of processing only one request. Specifically, your Web server will (i) create a connection socket when contacted by a client (browser); (ii) receive the HTTP request from this connection; (iii) parse the request to determine the specific file being requested; (iv) get the requested file from the server’s file system; (v) create an HTTP response message consisting of the requested file preceded by header lines; and (vi) send the response over the TCP connection to the requesting browser. If a browser requests a file that is not present in your server, your server should return a “404 Not Found” error message.
In the Companion Website, we provide the skeleton code for your server. Your job is to complete the code, run your server, and then test your server by sending requests from browsers running on different hosts. If you run your server on a host that already has a Web server running on it, then you should use a different port than port 80 for your Web server.
Assignment 2: UDP Pinger
In this programming assignment, you will write a client ping program in Python. Your client will send a simple ping message to a server, receive a corresponding pong message back from the server, and determine the delay between when the client sent the ping message and received the pong message. This delay is called the Round Trip Time (RTT). The functionality provided by the client and server is similar to the functionality provided by standard ping program available in modern operating systems. However, standard ping programs use the Internet Control Message Protocol (ICMP) (which we will
study in Chapter 5). Here we will create a nonstandard (but simple!) UDP-based ping program.
Your ping program is to send 10 ping messages to the target server over UDP. For each message, your client is to determine and print the RTT when the corresponding pong message is returned. Because UDP is an unreliable protocol, a packet sent by the client or server may be lost. For this reason, the client cannot wait indefinitely for a reply to a ping message. You should have the client wait up to one second for a reply from the server; if no reply is received, the client should assume that the packet was lost and print a message accordingly.
In this assignment, you will be given the complete code for the server (available in the Companion Website). Your job is to write the client code, which will be very similar to the server code. It is recommended that you first study carefully the server code. You can then write your client code, liberally cutting and pasting lines from the server code.
Assignment 3: Mail Client
The goal of this programming assignment is to create a simple mail client that sends e-mail to any recipient. Your client will need to establish a TCP connection with a mail server (e.g., a Google mail server), dialogue with the mail server using the SMTP protocol, send an e-mail message to a recipient
(e.g., your friend) via the mail server, and finally close the TCP connection with the mail server.
For this assignment, the Companion Website provides the skeleton code for your client. Your job is to complete the code and test your client by sending e-mail to different user accounts. You may also try sending through different servers (for example, through a Google mail server and through your university mail server).
Assignment 4: Multi-Threaded Web Proxy
In this assignment, you will develop a Web proxy. When your proxy receives an HTTP request for an object from a browser, it generates a new HTTP request for the same object and sends it to the origin server. When the proxy receives the corresponding HTTP response with the object from the origin server, it creates a new HTTP response, including the object, and sends it to the client. This proxy will be multi-threaded, so that it will be able to handle multiple requests at the same time.
For this assignment, the Companion Website provides the skeleton code for the proxy server. Your job is to complete the code, and then test it by having different browsers request Web objects via your proxy.
Wireshark Lab: HTTP
Having gotten our feet wet with the Wireshark packet sniffer in Lab 1, we’re now ready to use Wireshark to investigate protocols in operation. In this lab, we’ll explore several aspects of the HTTP protocol: the basic GET/reply interaction, HTTP message formats, retrieving large HTML files, retrieving HTML files with embedded URLs, persistent and non-persistent connections, and HTTP authentication and security.
As is the case with all Wireshark labs, the full description of this lab is available at this book’s Web site, www.pearsonhighered.com/cs-resources.
Wireshark Lab: DNS
In this lab, we take a closer look at the client side of the DNS, the protocol that translates Internet
hostnames to IP addresses. Recall from Section 2.5 that the client’s role in the DNS is relatively simple —a client sends a query to its local DNS server and receives a response back. Much can go on under
the covers, invisible to the DNS clients, as the hierarchical DNS servers communicate with each other to either recursively or iteratively resolve the client’s DNS query. From the DNS client’s standpoint, however, the protocol is quite simple—a query is formulated to the local DNS server and a response is received from that server. We observe DNS in action in this lab.
As is the case with all Wireshark labs, the full description of this lab is available at this book’s Web site, www.pearsonhighered.com/cs-resources.
An Interview With…
Marc Andreessen
Marc Andreessen is the co-creator of Mosaic, the Web browser that popularized the World Wide Web in 1993. Mosaic had a clean, easily understood interface and was the first browser to display images in-line with text. In 1994, Marc Andreessen and Jim Clark founded Netscape, whose browser was by far the most popular browser through the mid-1990s. Netscape also developed the Secure Sockets Layer (SSL) protocol and many Internet server products, including mail servers and SSL-based Web servers. He is now a co-founder and general partner of venture capital firm Andreessen Horowitz, overseeing portfolio development with holdings that include Facebook, Foursquare, Groupon, Jawbone, Twitter, and Zynga. He serves on numerous boards, including Bump, eBay, Glam Media, Facebook, and Hewlett-Packard. He holds a BS in Computer Science from the University of Illinois at Urbana-Champaign.
How did you become interested in computing? Did you always know that you wanted to work in information technology?
The video game and personal computing revolutions hit right when I was growing up—personal computing was the new technology frontier in the late 70’s and early 80’s. And it wasn’t just Apple and the IBM PC, but hundreds of new companies like Commodore and Atari as well. I taught myself to program out of a book called “Instant Freeze-Dried BASIC” at age 10, and got my first computer (a TRS-80 Color Computer—look it up!) at age 12.
Please describe one or two of the most exciting projects you have worked on during your career.
What were the biggest challenges?
Undoubtedly the most exciting project was the original Mosaic web browser in ’92–’93—and the biggest challenge was getting anyone to take it seriously back then. At the time, everyone thought the interactive future would be delivered as “interactive television” by huge companies, not as the Internet by startups.
What excites you about the future of networking and the Internet? What are your biggest concerns?
The most exciting thing is the huge unexplored frontier of applications and services that programmers and entrepreneurs are able to explore—the Internet has unleashed creativity at a level that I don’t think we’ve ever seen before. My biggest concern is the principle of unintended consequences—we don’t always know the implications of what we do, such as the Internet being used by governments to run a new level of surveillance on citizens.
Is there anything in particular students should be aware of as Web technology advances?
The rate of change—the most important thing to learn is how to learn—how to flexibly adapt to changes in the specific technologies, and how to keep an open mind on the new opportunities and possibilities as you move through your career.
What people inspired you professionally?
Vannevar Bush, Ted Nelson, Doug Engelbart, Nolan Bushnell, Bill Hewlett and Dave Packard, Ken Olsen, Steve Jobs, Steve Wozniak, Andy Grove, Grace Hopper, Hedy Lamarr, Alan Turing, Richard Stallman.
What are your recommendations for students who want to pursue careers in computing and information technology?
Go as deep as you possibly can on understanding how technology is created, and then complement with learning how business works.
Can technology solve the world’s problems?
No, but we advance the standard of living of people through economic growth, and most economic growth throughout history has come from technology—so that’s as good as it gets.
Chapter 3 Transport Layer
Residing between the application and network layers, the transport layer is a central piece of the layered network architecture. It has the critical role of providing communication services directly to the application processes running on different hosts. The pedagogic approach we take in this chapter is to alternate between discussions of transport-layer principles and discussions of how these principles are implemented in existing protocols; as usual, particular emphasis will be given to Internet protocols, in particular the TCP and UDP transport-layer protocols.
We’ll begin by discussing the relationship between the transport and network layers. This sets the stage for examining the first critical function of the transport layer—extending the network layer’s delivery service between two end systems to a delivery service between two application-layer processes running on the end systems. We’ll illustrate this function in our coverage of the Internet’s connectionless transport protocol, UDP.
We’ll then return to principles and confront one of the most fundamental problems in computer networking—how two entities can communicate reliably over a medium that may lose and corrupt data. Through a series of increasingly complicated (and realistic!) scenarios, we’ll build up an array of techniques that transport protocols use to solve this problem. We’ll then show how these principles are embodied in TCP, the Internet’s connection-oriented transport protocol.
We’ll next move on to a second fundamentally important problem in networking—controlling the transmission rate of transport-layer entities in order to avoid, or recover from, congestion within the network. We’ll consider the causes and consequences of congestion, as well as commonly used congestion-control techniques. After obtaining a solid understanding of the issues behind congestion control, we’ll study TCP’s approach to congestion control.
3.1 Introduction and Transport-Layer Services
In the previous two chapters we touched on the role of the transport layer and the services that it provides. Let’s quickly review what we have already learned about the transport layer.
A transport-layer protocol provides for logical communication between application processes running on different hosts. By logical communication, we mean that from an application’s perspective, it is as if
the hosts running the processes were directly connected; in reality, the hosts may be on opposite sides of the planet, connected via numerous routers and a wide range of link types. Application processes use the logical communication provided by the transport layer to send messages to each other, free from the
worry of the details of the physical infrastructure used to carry these messages. Figure 3.1 illustrates the notion of logical communication.
As shown in Figure 3.1, transport-layer protocols are implemented in the end systems but not in network routers. On the sending side, the transport layer converts the application-layer messages it
receives from a sending application process into transport-layer packets, known as transport-layer segments in Internet terminology. This is done by (possibly) breaking the application messages into smaller chunks and adding a transport-layer header to each chunk to create the transport-layer segment. The transport layer then passes the segment to the network layer at the sending end system, where the segment is encapsulated within a network-layer packet (a datagram) and sent to the destination. It’s important to note that network routers act only on the network-layer fields of the datagram; that is, they do not examine the fields of the transport-layer segment encapsulated with the datagram. On the receiving side, the network layer extracts the transport-layer segment from the datagram and passes the segment up to the transport layer. The transport layer then processes the received segment, making the data in the segment available to the receiving application.
More than one transport-layer protocol may be available to network applications. For example, the Internet has two protocols—TCP and UDP. Each of these protocols provides a different set of transport- layer services to the invoking application.
3.1.1 Relationship Between Transport and Network Layers
Recall that the transport layer lies just above the network layer in the protocol stack. Whereas a transport-layer protocol provides logical communication between
Figure 3.1 The transport layer provides logical rather than physical communication between application processes
processes running on different hosts, a network-layer protocol provides logical-communication between hosts. This distinction is subtle but important. Let’s examine this distinction with the aid of a household
analogy.
Consider two houses, one on the East Coast and the other on the West Coast, with each house being home to a dozen kids. The kids in the East Coast household are cousins of the kids in the West Coast
household. The kids in the two households love to write to each other—each kid writes each cousin every week, with each letter delivered by the traditional postal service in a separate envelope. Thus, each household sends 144 letters to the other household every week. (These kids would save a lot of money if they had e-mail!) In each of the households there is one kid—Ann in the West Coast house and Bill in the East Coast house—responsible for mail collection and mail distribution. Each week Ann visits all her brothers and sisters, collects the mail, and gives the mail to a postal-service mail carrier, who makes daily visits to the house. When letters arrive at the West Coast house, Ann also has the job of distributing the mail to her brothers and sisters. Bill has a similar job on the East Coast.
In this example, the postal service provides logical communication between the two houses—the postal service moves mail from house to house, not from person to person. On the other hand, Ann and Bill provide logical communication among the cousins—Ann and Bill pick up mail from, and deliver mail to,
their brothers and sisters. Note that from the cousins’ perspective, Ann and Bill are the mail service, even though Ann and Bill are only a part (the end-system part) of the end-to-end delivery process. This
household example serves as a nice analogy for explaining how the transport layer relates to the network layer:
application messages = letters in envelopes
processes = cousins
hosts (also called end systems) = houses
transport-layer protocol = Ann and Bill
network-layer protocol = postal service (including mail carriers)
Continuing with this analogy, note that Ann and Bill do all their work within their respective homes; they are not involved, for example, in sorting mail in any intermediate mail center or in moving mail from one mail center to another. Similarly, transport-layer protocols live in the end systems. Within an end system, a transport protocol moves messages from application processes to the network edge (that is, the network layer) and vice versa, but it doesn’t have any say about how the messages are moved within
the network core. In fact, as illustrated in Figure 3.1, intermediate routers neither act on, nor recognize, any information that the transport layer may have added to the application messages.
Continuing with our family saga, suppose now that when Ann and Bill go on vacation, another cousin pair—say, Susan and Harvey—substitute for them and provide the household-internal collection and delivery of mail. Unfortunately for the two families, Susan and Harvey do not do the collection and delivery in exactly the same way as Ann and Bill. Being younger kids, Susan and Harvey pick up and drop off the mail less frequently and occasionally lose letters (which are sometimes chewed up by the family dog). Thus, the cousin-pair Susan and Harvey do not provide the same set of services (that is, the same service model) as Ann and Bill. In an analogous manner, a computer network may make
available multiple transport protocols, with each protocol offering a different service model to applications.
The possible services that Ann and Bill can provide are clearly constrained by the possible services that the postal service provides. For example, if the postal service doesn’t provide a maximum bound on how long it can take to deliver mail between the two houses (for example, three days), then there is no way that Ann and Bill can guarantee a maximum delay for mail delivery between any of the cousin pairs. In a similar manner, the services that a transport protocol can provide are often constrained by the service model of the underlying network-layer protocol. If the network-layer protocol cannot provide delay or bandwidth guarantees for transport-layer segments sent between hosts, then the transport-layer protocol cannot provide delay or bandwidth guarantees for application messages sent between processes.
Nevertheless, certain services can be offered by a transport protocol even when the underlying network protocol doesn’t offer the corresponding service at the network layer. For example, as we’ll see in this
chapter, a transport protocol can offer reliable data transfer service to an application even when the underlying network protocol is unreliable, that is, even when the network protocol loses, garbles, or
duplicates packets. As another example (which we’ll explore in Chapter 8 when we discuss network security), a transport protocol can use encryption to guarantee that application messages are not read
by intruders, even when the network layer cannot guarantee the confidentiality of transport-layer segments.
3.1.2 Overview of the Transport Layer in the Internet
Recall that the Internet makes two distinct transport-layer protocols available to the application layer. One of these protocols is UDP (User Datagram Protocol), which provides an unreliable, connectionless service to the invoking application. The second of these protocols is TCP (Transmission Control Protocol), which provides a reliable, connection-oriented service to the invoking application. When designing a network application, the application developer must specify one of these two transport
protocols. As we saw in Section 2.7, the application developer selects between UDP and TCP when creating sockets.
To simplify terminology, we refer to the transport-layer packet as a segment. We mention, however, that the Internet literature (for example, the RFCs) also refers to the transport-layer packet for TCP as a
segment but often refers to the packet for UDP as a datagram. But this same Internet literature also
uses the term datagram for the network-layer packet! For an introductory book on computer networking such as this, we believe that it is less confusing to refer to both TCP and UDP packets as segments,
and reserve the term datagram for the network-layer packet.
Before proceeding with our brief introduction of UDP and TCP, it will be useful to say a few words about
the Internet’s network layer. (We’ll learn about the network layer in detail in Chapters 4 and 5.) The Internet’s network-layer protocol has a name—IP, for Internet Protocol. IP provides logical
communication between hosts. The IP service model is a best-effort delivery service. This means that IP makes its “best effort” to deliver segments between communicating hosts, but it makes no
guarantees. In particular, it does not guarantee segment delivery, it does not guarantee orderly delivery of segments, and it does not guarantee the integrity of the data in the segments. For these reasons, IP
is said to be an unreliable service. We also mention here that every host has at least one network- layer address, a so-called IP address. We’ll examine IP addressing in detail in Chapter 4; for this
chapter we need only keep in mind that each host has an IP address.
Having taken a glimpse at the IP service model, let’s now summarize the service models provided by UDP and TCP. The most fundamental responsibility of UDP and TCP is to extend IP’s delivery service between two end systems to a delivery service between two processes running on the end systems. Extending host-to-host delivery to process-to-process delivery is called transport-layer multiplexing and demultiplexing. We’ll discuss transport-layer multiplexing and demultiplexing in the next section. UDP and TCP also provide integrity checking by including error-detection fields in their segments’ headers. These two minimal transport-layer services—process-to-process data delivery and error checking—are the only two services that UDP provides! In particular, like IP, UDP is an unreliable service—it does not guarantee that data sent by one process will arrive intact (or at all!) to the
destination process. UDP is discussed in detail in Section 3.3.
TCP, on the other hand, offers several additional services to applications. First and foremost, it provides reliable data transfer. Using flow control, sequence numbers, acknowledgments, and timers (techniques we’ll explore in detail in this chapter), TCP ensures that data is delivered from sending process to receiving process, correctly and in order. TCP thus converts IP’s unreliable service between end systems into a reliable data transport service between processes. TCP also provides congestion control. Congestion control is not so much a service provided to the invoking application as it is a service for the Internet as a whole, a service for the general good. Loosely speaking, TCP congestion control prevents any one TCP connection from swamping the links and routers between communicating hosts with an excessive amount of traffic. TCP strives to give each connection traversing a congested link an equal share of the link bandwidth. This is done by regulating the rate at which the sending sides of TCP connections can send traffic into the network. UDP traffic, on the other hand, is unregulated. An application using UDP transport can send at any rate it pleases, for as long as it pleases.
A protocol that provides reliable data transfer and congestion control is necessarily complex. We’ll need several sections to cover the principles of reliable data transfer and congestion control, and additional
sections to cover the TCP protocol itself. These topics are investigated in Sections 3.4 through 3.8. The approach taken in this chapter is to alternate between basic principles and the TCP protocol. For
example, we’ll first discuss reliable data transfer in a general setting and then discuss how TCP
specifically provides reliable data transfer. Similarly, we’ll first discuss congestion control in a general setting and then discuss how TCP performs congestion control. But before getting into all this good stuff, let’s first look at transport-layer multiplexing and demultiplexing.
3.2 Multiplexing and Demultiplexing
In this section, we discuss transport-layer multiplexing and demultiplexing, that is, extending the host-to- host delivery service provided by the network layer to a process-to-process delivery service for applications running on the hosts. In order to keep the discussion concrete, we’ll discuss this basic transport-layer service in the context of the Internet. We emphasize, however, that a multiplexing/demultiplexing service is needed for all computer networks.
At the destination host, the transport layer receives segments from the network layer just below. The transport layer has the responsibility of delivering the data in these segments to the appropriate application process running in the host. Let’s take a look at an example. Suppose you are sitting in front of your computer, and you are downloading Web pages while running one FTP session and two Telnet sessions. You therefore have four network application processes running—two Telnet processes, one FTP process, and one HTTP process. When the transport layer in your computer receives data from the network layer below, it needs to direct the received data to one of these four processes. Let’s now examine how this is done.
First recall from Section 2.7 that a process (as part of a network application) can have one or more sockets, doors through which data passes from the network to the process and through which data
passes from the process to the network. Thus, as shown in Figure 3.2, the transport layer in the receiving host does not actually deliver data directly to a process, but instead to an intermediary socket.
Because at any given time there can be more than one socket in the receiving host, each socket has a unique identifier. The format of the identifier depends on whether the socket is a UDP or a TCP socket, as we’ll discuss shortly.
Now let’s consider how a receiving host directs an incoming transport-layer segment to the appropriate socket. Each transport-layer segment has a set of fields in the segment for this purpose. At the receiving end, the transport layer examines these fields to identify the receiving socket and then directs the segment to that socket. This job of delivering the data in a transport-layer segment to the correct socket is called demultiplexing. The job of gathering data chunks at the source host from different sockets, encapsulating each data chunk with header information (that will later be used in demultiplexing) to create segments, and passing the segments to the network layer is called multiplexing. Note that the transport layer in the middle host
Figure 3.2 Transport-layer multiplexing and demultiplexing
in Figure 3.2 must demultiplex segments arriving from the network layer below to either process P1 or P2 above; this is done by directing the arriving segment’s data to the corresponding process’s socket. The transport layer in the middle host must also gather outgoing data from these sockets, form transport- layer segments, and pass these segments down to the network layer. Although we have introduced multiplexing and demultiplexing in the context of the Internet transport protocols, it’s important to realize that they are concerns whenever a single protocol at one layer (at the transport layer or elsewhere) is used by multiple protocols at the next higher layer.
To illustrate the demultiplexing job, recall the household analogy in the previous section. Each of the kids is identified by his or her name. When Bill receives a batch of mail from the mail carrier, he performs a demultiplexing operation by observing to whom the letters are addressed and then hand delivering the mail to his brothers and sisters. Ann performs a multiplexing operation when she collects letters from her brothers and sisters and gives the collected mail to the mail person.
Now that we understand the roles of transport-layer multiplexing and demultiplexing, let us examine how it is actually done in a host. From the discussion above, we know that transport-layer multiplexing requires (1) that sockets have unique identifiers, and (2) that each segment have special fields that
indicate the socket to which the segment is to be delivered. These special fields, illustrated in Figure 3.3, are the source port number field and the destination port number field. (The UDP and TCP
segments have other fields as well, as discussed in the subsequent sections of this chapter.) Each port number is a 16-bit number, ranging from 0 to 65535. The port numbers ranging from 0 to 1023 are called well-known port numbers and are restricted, which means that they are reserved for use by well-known
Figure 3.3 Source and destination port-number fields in a transport-layer segment
application protocols such as HTTP (which uses port number 80) and FTP (which uses port number 21). The list of well-known port numbers is given in RFC 1700 and is updated at http://www.iana.org [RFC
3232]. When we develop a new application (such as the simple application developed in Section 2.7), we must assign the application a port number.
It should now be clear how the transport layer could implement the demultiplexing service: Each socket in the host could be assigned a port number, and when a segment arrives at the host, the transport layer
examines the destination port number in the segment and directs the segment to the corresponding socket. The segment’s data then passes through the socket into the attached process. As we’ll see, this is basically how UDP does it. However, we’ll also see that multiplexing/demultiplexing in TCP is yet more subtle.
Connectionless Multiplexing and Demultiplexing
Recall from Section 2.7.1 that the Python program running in a host can create a UDP socket with the line
When a UDP socket is created in this manner, the transport layer automatically assigns a port number to the socket. In particular, the transport layer assigns a port number in the range 1024 to 65535 that is currently not being used by any other UDP port in the host. Alternatively, we can add a line into our Python program after we create the socket to associate a specific port number (say, 19157) to this UDP
socket via the socket bind() method:
clientSocket = socket(AF_INET, SOCK_DGRAM)
clientSocket.bind((’’, 19157))
If the application developer writing the code were implementing the server side of a “well-known protocol,” then the developer would have to assign the corresponding well-known port number. Typically, the client side of the application lets the transport layer automatically (and transparently) assign the port number, whereas the server side of the application assigns a specific port number.
With port numbers assigned to UDP sockets, we can now precisely describe UDP multiplexing/demultiplexing. Suppose a process in Host A, with UDP port 19157, wants to send a chunk of application data to a process with UDP port 46428 in Host B. The transport layer in Host A creates a transport-layer segment that includes the application data, the source port number (19157), the destination port number (46428), and two other values (which will be discussed later, but are unimportant for the current discussion). The transport layer then passes the resulting segment to the network layer. The network layer encapsulates the segment in an IP datagram and makes a best-effort attempt to deliver the segment to the receiving host. If the segment arrives at the receiving Host B, the transport layer at the receiving host examines the destination port number in the segment (46428) and delivers the segment to its socket identified by port 46428. Note that Host B could be running multiple processes, each with its own UDP socket and associated port number. As UDP segments arrive from the network, Host B directs (demultiplexes) each segment to the appropriate socket by examining the segment’s destination port number.
It is important to note that a UDP socket is fully identified by a two-tuple consisting of a destination IP address and a destination port number. As a consequence, if two UDP segments have different source
IP addresses and/or source port numbers, but have the same destination IP address and destination port number, then the two segments will be directed to the same destination process via the same
destination socket.
You may be wondering now, what is the purpose of the source port number? As shown in Figure 3.4, in the A-to-B segment the source port number serves as part of a “return address”—when B wants to send
a segment back to A, the destination port in the B-to-A segment will take its value from the source port value of the A-to-B segment. (The complete return address is A’s IP address and the source port
number.) As an example, recall the UDP server program studied in Section 2.7. In UDPServer.py,
the server uses the recvfrom() method to extract the client-side (source) port number from the segment it receives from the client; it then sends a new segment to the client, with the extracted source port number serving as the destination port number in this new segment.
Connection-Oriented Multiplexing and Demultiplexing
In order to understand TCP demultiplexing, we have to take a close look at TCP sockets and TCP connection establishment. One subtle difference between a TCP socket and a UDP socket is that a TCP
socket is identified by a four-tuple: (source IP address, source port number, destination IP address, destination port number). Thus, when a TCP segment arrives from the network to a host, the host uses all four values to direct (demultiplex) the segment to the appropriate socket.
Figure 3.4 The inversion of source and destination port numbers
In particular, and in contrast with UDP, two arriving TCP segments with different source IP addresses or source port numbers will (with the exception of a TCP segment carrying the original connection- establishment request) be directed to two different sockets. To gain further insight, let’s reconsider the
TCP client-server programming example in Section 2.7.2:
The TCP server application has a “welcoming socket,” that waits for connection-establishment requests from TCP clients (see Figure 2.29) on port number 12000.
The TCP client creates a socket and sends a connection establishment request segment with the lines:
A connection-establishment request is nothing more than a TCP segment with destination port number 12000 and a special connection-establishment bit set in the TCP header (discussed in
Section 3.5). The segment also includes a source port number that was chosen by the client. When the host operating system of the computer running the server process receives the incoming
clientSocket = socket(AF_INET, SOCK_STREAM)
clientSocket.connect((serverName,12000))
connection-request segment with destination port 12000, it locates the server process that is waiting to accept a connection on port number 12000. The server process then creates a new socket:
Also, the transport layer at the server notes the following four values in the connection-request segment: (1) the source port number in the segment, (2) the IP address of the source host, (3) the
destination port number in the segment, and (4) its own IP address. The newly created connection socket is identified by these four values; all subsequently arriving segments whose source port, source IP address, destination port, and destination IP address match these four values will be demultiplexed to this socket. With the TCP connection now in place, the client and server can now send data to each other.
The server host may support many simultaneous TCP connection sockets, with each socket attached to a process, and with each socket identified by its own four-tuple. When a TCP segment arrives at the host, all four fields (source IP address, source port, destination IP address, destination port) are used to direct (demultiplex) the segment to the appropriate socket.
FOCUS ON SECURITY
Port Scanning
We’ve seen that a server process waits patiently on an open port for contact by a remote client. Some ports are reserved for well-known applications (e.g., Web, FTP, DNS, and SMTP servers); other ports are used by convention by popular applications (e.g., the Microsoft 2000 SQL server listens for requests on UDP port 1434). Thus, if we determine that a port is open on a host, we may be able to map that port to a specific application running on the host. This is very useful for system administrators, who are often interested in knowing which network applications are running on the hosts in their networks. But attackers, in order to “case the joint,” also want to know which ports are open on target hosts. If a host is found to be running an application with a known security flaw (e.g., a SQL server listening on port 1434 was subject to a buffer overflow, allowing a remote user to execute arbitrary code on the vulnerable host, a flaw exploited by the
Slammer worm [CERT 2003–04]), then that host is ripe for attack.
Determining which applications are listening on which ports is a relatively easy task. Indeed
there are a number of public domain programs, called port scanners, that do just that. Perhaps
the most widely used of these is nmap, freely available at http://nmap.org and included in most Linux distributions. For TCP, nmap sequentially scans ports, looking for ports that are accepting
TCP connections. For UDP, nmap again sequentially scans ports, looking for UDP ports that respond to transmitted UDP segments. In both cases, nmap returns a list of open, closed, or
unreachable ports. A host running nmap can attempt to scan any target host anywhere in the
connectionSocket, addr = serverSocket.accept()
Internet. We’ll revisit nmap in Section 3.5.6, when we discuss TCP connection management.
Figure 3.5 Two clients, using the same destination port number (80) to communicate with the same Web server application
The situation is illustrated in Figure 3.5, in which Host C initiates two HTTP sessions to server B, and Host A initiates one HTTP session to B. Hosts A and C and server B each have their own unique IP
address—A, C, and B, respectively. Host C assigns two different source port numbers (26145 and 7532) to its two HTTP connections. Because Host A is choosing source port numbers independently of C, it might also assign a source port of 26145 to its HTTP connection. But this is not a problem—server B will still be able to correctly demultiplex the two connections having the same source port number, since the two connections have different source IP addresses.
Web Servers and TCP
Before closing this discussion, it’s instructive to say a few additional words about Web servers and how they use port numbers. Consider a host running a Web server, such as an Apache Web server, on port
80. When clients (for example, browsers) send segments to the server, all segments will have destination port 80. In particular, both the initial connection-establishment segments and the segments
carrying HTTP request messages will have destination port 80. As we have just described, the server distinguishes the segments from the different clients using source IP addresses and source port
numbers.
Figure 3.5 shows a Web server that spawns a new process for each connection. As shown in Figure
3.5, each of these processes has its own connection socket through which HTTP requests arrive and HTTP responses are sent. We mention, however, that there is not always a one-to-one correspondence
between connection sockets and processes. In fact, today’s high-performing Web servers often use only one process, and create a new thread with a new connection socket for each new client connection. (A thread can be viewed as a lightweight subprocess.) If you did the first programming assignment in
Chapter 2, you built a Web server that does just this. For such a server, at any given time there may be many connection sockets (with different identifiers) attached to the same process.
If the client and server are using persistent HTTP, then throughout the duration of the persistent connection the client and server exchange HTTP messages via the same server socket. However, if the client and server use non-persistent HTTP, then a new TCP connection is created and closed for every request/response, and hence a new socket is created and later closed for every request/response. This frequent creating and closing of sockets can severely impact the performance of a busy Web server (although a number of operating system tricks can be used to mitigate the problem). Readers interested in the operating system issues surrounding persistent and non-persistent HTTP are encouraged to see
[Nielsen 1997; Nahum 2002].
Now that we’ve discussed transport-layer multiplexing and demultiplexing, let’s move on and discuss one of the Internet’s transport protocols, UDP. In the next section we’ll see that UDP adds little more to the network-layer protocol than a multiplexing/demultiplexing service.
3.3 Connectionless Transport: UDP
In this section, we’ll take a close look at UDP, how it works, and what it does. We encourage you to refer
back to Section 2.1, which includes an overview of the UDP service model, and to Section 2.7.1, which discusses socket programming using UDP.
To motivate our discussion about UDP, suppose you were interested in designing a no-frills, bare-bones transport protocol. How might you go about doing this? You might first consider using a vacuous transport protocol. In particular, on the sending side, you might consider taking the messages from the application process and passing them directly to the network layer; and on the receiving side, you might consider taking the messages arriving from the network layer and passing them directly to the application process. But as we learned in the previous section, we have to do a little more than nothing! At the very least, the transport layer has to provide a multiplexing/demultiplexing service in order to pass data between the network layer and the correct application-level process.
UDP, defined in [RFC 768], does just about as little as a transport protocol can do. Aside from the multiplexing/demultiplexing function and some light error checking, it adds nothing to IP. In fact, if the
application developer chooses UDP instead of TCP, then the application is almost directly talking with IP. UDP takes messages from the application process, attaches source and destination port number fields for the multiplexing/demultiplexing service, adds two other small fields, and passes the resulting segment to the network layer. The network layer encapsulates the transport-layer segment into an IP datagram and then makes a best-effort attempt to deliver the segment to the receiving host. If the segment arrives at the receiving host, UDP uses the destination port number to deliver the segment’s data to the correct application process. Note that with UDP there is no handshaking between sending and receiving transport-layer entities before sending a segment. For this reason, UDP is said to be
connectionless.
DNS is an example of an application-layer protocol that typically uses UDP. When the DNS application in a host wants to make a query, it constructs a DNS query message and passes the message to UDP. Without performing any handshaking with the UDP entity running on the destination end system, the host-side UDP adds header fields to the message and passes the resulting segment to the network layer. The network layer encapsulates the UDP segment into a datagram and sends the datagram to a name server. The DNS application at the querying host then waits for a reply to its query. If it doesn’t receive a reply (possibly because the underlying network lost the query or the reply), it might try resending the query, try sending the query to another name server, or inform the invoking application that it can’t get a reply.
Now you might be wondering why an application developer would ever choose to build an application over UDP rather than over TCP. Isn’t TCP always preferable, since TCP provides a reliable data transfer service, while UDP does not? The answer is no, as some applications are better suited for UDP for the following reasons:
Finer application-level control over what data is sent, and when. Under UDP, as soon as an application process passes data to UDP, UDP will package the data inside a UDP segment and
immediately pass the segment to the network layer. TCP, on the other hand, has a congestion- control mechanism that throttles the transport-layer TCP sender when one or more links between the source and destination hosts become excessively congested. TCP will also continue to resend a segment until the receipt of the segment has been acknowledged by the destination, regardless of how long reliable delivery takes. Since real-time applications often require a minimum sending rate, do not want to overly delay segment transmission, and can tolerate some data loss, TCP’s service model is not particularly well matched to these applications’ needs. As discussed below, these applications can use UDP and implement, as part of the application, any additional functionality that is needed beyond UDP’s no-frills segment-delivery service.
No connection establishment. As we’ll discuss later, TCP uses a three-way handshake before it starts to transfer data. UDP just blasts away without any formal preliminaries. Thus UDP does not
introduce any delay to establish a connection. This is probably the principal reason why DNS runs over UDP rather than TCP—DNS would be much slower if it ran over TCP. HTTP uses TCP rather
than UDP, since reliability is critical for Web pages with text. But, as we briefly discussed in Section 2.2, the TCP connection-establishment delay in HTTP is an important contributor to the delays
associated with downloading Web documents. Indeed, the QUIC protocol (Quick UDP Internet
Connection, [Iyengar 2015]), used in Google’s Chrome browser, uses UDP as its underlying transport protocol and implements reliability in an application-layer protocol on top of UDP.
No connection state. TCP maintains connection state in the end systems. This connection state includes receive and send buffers, congestion-control parameters, and sequence and
acknowledgment number parameters. We will see in Section 3.5 that this state information is needed to implement TCP’s reliable data transfer service and to provide congestion control. UDP, on
the other hand, does not maintain connection state and does not track any of these parameters. For this reason, a server devoted to a particular application can typically support many more active clients when the application runs over UDP rather than TCP.
Small packet header overhead. The TCP segment has 20 bytes of header overhead in every segment, whereas UDP has only 8 bytes of overhead.
Figure 3.6 lists popular Internet applications and the transport protocols that they use. As we expect, e- mail, remote terminal access, the Web, and file transfer run over TCP—all these applications need the
reliable data transfer service of TCP. Nevertheless, many important applications run over UDP rather
than TCP. For example, UDP is used to carry network management (SNMP; see Section 5.7) data. UDP is preferred to TCP in this case, since network management applications must often run when the
network is in a stressed state—precisely when reliable, congestion-controlled data transfer is difficult to achieve. Also, as we mentioned earlier, DNS runs over UDP, thereby avoiding TCP’s connection- establishment delays.
As shown in Figure 3.6, both UDP and TCP are somtimes used today with multimedia applications, such as Internet phone, real-time video conferencing, and streaming of stored audio and video. We’ll
take a close look at these applications in Chapter 9. We just mention now that all of these applications can tolerate a small amount of packet loss, so that reliable data transfer is not absolutely critical for the
application’s success. Furthermore, real-time applications, like Internet phone and video conferencing, react very poorly to TCP’s congestion control. For these reasons, developers of multimedia applications may choose to run their applications over UDP instead of TCP. When packet loss rates are low, and
with some organizations blocking UDP traffic for security reasons (see Chapter 8), TCP becomes an increasingly attractive protocol for streaming media transport.
Figure 3.6 Popular Internet applications and their underlying transport protocols
Although commonly done today, running multimedia applications over UDP is controversial. As we mentioned above, UDP has no congestion control. But congestion control is needed to prevent the network from entering a congested state in which very little useful work is done. If everyone were to start streaming high-bit-rate video without using any congestion control, there would be so much packet overflow at routers that very few UDP packets would successfully traverse the source-to-destination path. Moreover, the high loss rates induced by the uncontrolled UDP senders would cause the TCP
senders (which, as we’ll see, do decrease their sending rates in the face of congestion) to dramatically decrease their rates. Thus, the lack of congestion control in UDP can result in high loss rates between a
UDP sender and receiver, and the crowding out of TCP sessions—a potentially serious problem [Floyd
1999]. Many researchers have proposed new mechanisms to force all sources, including UDP sources, to perform adaptive congestion control [Mahdavi 1997; Floyd 2000; Kohler 2006: RFC 4340].
Before discussing the UDP segment structure, we mention that it is possible for an application to have reliable data transfer when using UDP. This can be done if reliability is built into the application itself (for
example, by adding acknowledgment and retransmission mechanisms, such as those we’ll study in the
next section). We mentioned earlier that the QUIC protocol [Iyengar 2015] used in Google’s Chrome browser implements reliability in an application-layer protocol on top of UDP. But this is a nontrivial task
that would keep an application developer busy debugging for a long time. Nevertheless, building reliability directly into the application allows the application to “have its cake and eat it too. That is, application processes can communicate reliably without being subjected to the transmission-rate constraints imposed by TCP’s congestion-control mechanism.
3.3.1 UDP Segment Structure
The UDP segment structure, shown in Figure 3.7, is defined in RFC 768. The application data occupies the data field of the UDP segment. For example, for DNS, the data field contains either a query
message or a response message. For a streaming audio application, audio samples fill the data field. The UDP header has only four fields, each consisting of two bytes. As discussed in the previous section, the port numbers allow the destination host to pass the application data to the correct process running on the destination end system (that is, to perform the demultiplexing function). The length field specifies the number of bytes in the UDP segment (header plus data). An explicit length value is needed since the size of the data field may differ from one UDP segment to the next. The checksum is used by the receiving host to check whether errors have been introduced into the segment. In truth, the checksum is also calculated over a few of the fields in the IP header in addition to the UDP segment. But we ignore this detail in order to see the forest through the trees. We’ll discuss the checksum calculation below.
Basic principles of error detection are described in Section 6.2. The length field specifies the length of the UDP segment, including the header, in bytes.
3.3.2 UDP Checksum
The UDP checksum provides for error detection. That is, the checksum is used to determine whether bits within the UDP segment have been altered (for example, by noise in the links or while stored in a router) as it moved from source to destination.
Figure 3.7 UDP segment structure
UDP at the sender side performs the 1s complement of the sum of all the 16-bit words in the segment, with any overflow encountered during the sum being wrapped around. This result is put in the checksum field of the UDP segment. Here we give a simple example of the checksum calculation. You can find details about efficient implementation of the calculation in RFC 1071 and performance over real data in
[Stone 1998; Stone 2000]. As an example, suppose that we have the following three 16-bit words:
0110011001100000
0101010101010101
1000111100001100
The sum of first two of these 16-bit words is
0110011001100000
0101010101010101
1011101110110101
Adding the third word to the above sum gives
1011101110110101
1000111100001100
0100101011000010
Note that this last addition had overflow, which was wrapped around. The 1s complement is obtained by converting all the 0s to 1s and converting all the 1s to 0s. Thus the 1s complement of the sum 0100101011000010 is 1011010100111101, which becomes the checksum. At the receiver, all four 16-
bit words are added, including the checksum. If no errors are introduced into the packet, then clearly the sum at the receiver will be 1111111111111111. If one of the bits is a 0, then we know that errors have been introduced into the packet.
You may wonder why UDP provides a checksum in the first place, as many link-layer protocols (including the popular Ethernet protocol) also provide error checking. The reason is that there is no guarantee that all the links between source and destination provide error checking; that is, one of the links may use a link-layer protocol that does not provide error checking. Furthermore, even if segments are correctly transferred across a link, it’s possible that bit errors could be introduced when a segment is stored in a router’s memory. Given that neither link-by-link reliability nor in-memory error detection is
guaranteed, UDP must provide error detection at the transport layer, on an end-end basis, if the end- end data transfer service is to provide error detection. This is an example of the celebrated end-end
principle in system design [Saltzer 1984], which states that since certain functionality (error detection, in this case) must be implemented on an end-end basis: “functions placed at the lower levels may be
redundant or of little value when compared to the cost of providing them at the higher level.”
Because IP is supposed to run over just about any layer-2 protocol, it is useful for the transport layer to provide error checking as a safety measure. Although UDP provides error checking, it does not do anything to recover from an error. Some implementations of UDP simply discard the damaged segment; others pass the damaged segment to the application with a warning.
That wraps up our discussion of UDP. We will soon see that TCP offers reliable data transfer to its applications as well as other services that UDP doesn’t offer. Naturally, TCP is also more complex than UDP. Before discussing TCP, however, it will be useful to step back and first discuss the underlying principles of reliable data transfer.
3.4 Principles of Reliable Data Transfer
In this section, we consider the problem of reliable data transfer in a general context. This is appropriate since the problem of implementing reliable data transfer occurs not only at the transport layer, but also at the link layer and the application layer as well. The general problem is thus of central importance to networking. Indeed, if one had to identify a “top-ten” list of fundamentally important problems in all of networking, this would be a candidate to lead the list. In the next section we’ll examine TCP and show, in particular, that TCP exploits many of the principles that we are about to describe.
Figure 3.8 illustrates the framework for our study of reliable data transfer. The service abstraction provided to the upper-layer entities is that of a reliable channel through which data can be transferred.
With a reliable channel, no transferred data bits are corrupted (flipped from 0 to 1, or vice versa) or lost, and all are delivered in the order in which they were sent. This is precisely the service model offered by TCP to the Internet applications that invoke it.
It is the responsibility of a reliable data transfer protocol to implement this service abstraction. This task is made difficult by the fact that the layer below the reliable data transfer protocol may be
unreliable. For example, TCP is a reliable data transfer protocol that is implemented on top of an unreliable (IP) end-to-end network layer. More generally, the layer beneath the two reliably communicating end points might consist of a single physical link (as in the case of a link-level data transfer protocol) or a global internetwork (as in the case of a transport-level protocol). For our purposes, however, we can view this lower layer simply as an unreliable point-to-point channel.
In this section, we will incrementally develop the sender and receiver sides of a reliable data transfer protocol, considering increasingly complex models of the underlying channel. For example, we’ll consider what protocol mechanisms are
Figure 3.8 Reliable data transfer: Service model and service implementation
needed when the underlying channel can corrupt bits or lose entire packets. One assumption we’ll adopt throughout our discussion here is that packets will be delivered in the order in which they were sent, with
some packets possibly being lost; that is, the underlying channel will not reorder packets. Figure 3.8(b) illustrates the interfaces for our data transfer protocol. The sending side of the data transfer protocol will
be invoked from above by a call to rdt_send(). It will pass the data to be delivered to the upper layer at the receiving side. (Here rdt stands for reliable data transfer protocol and _send indicates that the sending side of rdt is being called. The first step in developing any protocol is to choose a good name!) On the receiving side, rdt_rcv() will be called when a packet arrives from the receiving side of the channel. When the rdt protocol wants to deliver data to the upper layer, it will do so by calling
deliver_data(). In the following we use the terminology “packet” rather than transport-layer “segment.” Because the theory developed in this section applies to computer networks in general and not just to the Internet transport layer, the generic term “packet” is perhaps more appropriate here.
In this section we consider only the case of unidirectional data transfer, that is, data transfer from the sending to the receiving side. The case of reliable bidirectional (that is, full-duplex) data transfer is conceptually no more difficult but considerably more tedious to explain. Although we consider only unidirectional data transfer, it is important to note that the sending and receiving sides of our protocol
will nonetheless need to transmit packets in both directions, as indicated in Figure 3.8. We will see shortly that, in addition to exchanging packets containing the data to be transferred, the sending and
receiving sides of rdt will also need to exchange control packets back and forth. Both the send and receive sides of rdt send packets to the other side by a call to udt_send() (where udt stands for unreliable data transfer).
3.4.1 Building a Reliable Data Transfer Protocol
We now step through a series of protocols, each one becoming more complex, arriving at a flawless, reliable data transfer protocol.
Reliable Data Transfer over a Perfectly Reliable Channel: rdt1.0
We first consider the simplest case, in which the underlying channel is completely reliable. The protocol itself, which we’ll call rdt1.0, is trivial. The finite-state machine (FSM) definitions for the rdt1.0 sender and receiver are shown in Figure 3.9. The FSM in Figure 3.9(a) defines the operation of the sender, while the FSM in Figure 3.9(b) defines the operation of the receiver. It is important to note that there are separate FSMs for the sender and for the receiver. The sender and receiver FSMs in Figure 3.9 each have just one state. The arrows in the FSM description indicate the transition of the protocol
from one state to another. (Since each FSM in Figure 3.9 has just one state, a transition is necessarily from the one state back to itself; we’ll see more complicated state diagrams shortly.) The event causing
the transition is shown above the horizontal line labeling the transition, and the actions taken when the event occurs are shown below the horizontal line. When no action is taken on an event, or no event occurs and an action is taken, we’ll use the symbol Λ below or above the horizontal, respectively, to explicitly denote the lack of an action or event. The initial state of the FSM is indicated by the dashed
arrow. Although the FSMs in Figure 3.9 have but one state, the FSMs we will see shortly have multiple states, so it will be important to identify the initial state of each FSM.
The sending side of rdt simply accepts data from the upper layer via the rdt_send(data) event, creates a packet containing the data (via the action make_pkt(data)) and sends the packet into the channel. In practice, the rdt_send(data) event would result from a procedure call (for example, to
rdt_send()) by the upper-layer application.
Figure 3.9 rdt1.0 – A protocol for a completely reliable channel
On the receiving side, rdt receives a packet from the underlying channel via the rdt_rcv(packet) event, removes the data from the packet (via the action extract (packet, data)) and passes the data up to the upper layer (via the action deliver_data(data)). In practice, the
rdt_rcv(packet) event would result from a procedure call (for example, to rdt_rcv()) from the lower-layer protocol.
In this simple protocol, there is no difference between a unit of data and a packet. Also, all packet flow is from the sender to receiver; with a perfectly reliable channel there is no need for the receiver side to provide any feedback to the sender since nothing can go wrong! Note that we have also assumed that
the receiver is able to receive data as fast as the sender happens to send data. Thus, there is no need for the receiver to ask the sender to slow down!
Reliable Data Transfer over a Channel with Bit Errors: rdt2.0
A more realistic model of the underlying channel is one in which bits in a packet may be corrupted. Such bit errors typically occur in the physical components of a network as a packet is transmitted, propagates, or is buffered. We’ll continue to assume for the moment that all transmitted packets are received (although their bits may be corrupted) in the order in which they were sent.
Before developing a protocol for reliably communicating over such a channel, first consider how people might deal with such a situation. Consider how you yourself might dictate a long message over the phone. In a typical scenario, the message taker might say “OK” after each sentence has been heard, understood, and recorded. If the message taker hears a garbled sentence, you’re asked to repeat the garbled sentence. This message-dictation protocol uses both positive acknowledgments (“OK”) and negative acknowledgments (“Please repeat that.”). These control messages allow the receiver to let the sender know what has been received correctly, and what has been received in error and thus requires repeating. In a computer network setting, reliable data transfer protocols based on such retransmission are known as ARQ (Automatic Repeat reQuest) protocols.
Fundamentally, three additional protocol capabilities are required in ARQ protocols to handle the presence of bit errors:
Error detection. First, a mechanism is needed to allow the receiver to detect when bit errors have occurred. Recall from the previous section that UDP uses the Internet checksum field for exactly this
purpose. In Chapter 6 we’ll examine error-detection and -correction techniques in greater detail; these techniques allow the receiver to detect and possibly correct packet bit errors. For now, we
need only know that these techniques require that extra bits (beyond the bits of original data to be transferred) be sent from the sender to the receiver; these bits will be gathered into the packet
checksum field of the rdt2.0 data packet.
Receiver feedback. Since the sender and receiver are typically executing on different end systems,
possibly separated by thousands of miles, the only way for the sender to learn of the receiver’s view of the world (in this case, whether or not a packet was received correctly) is for the receiver to provide explicit feedback to the sender. The positive (ACK) and negative (NAK) acknowledgment
replies in the message-dictation scenario are examples of such feedback. Our rdt2.0 protocol will similarly send ACK and NAK packets back from the receiver to the sender. In principle, these packets need only be one bit long; for example, a 0 value could indicate a NAK and a value of 1 could indicate an ACK.
Retransmission. A packet that is received in error at the receiver will be retransmitted by the sender.
Figure 3.10 shows the FSM representation of rdt2.0, a data transfer protocol employing error detection, positive acknowledgments, and negative acknowledgments.
The send side of rdt2.0 has two states. In the leftmost state, the send-side protocol is waiting for data to be passed down from the upper layer. When the rdt_send(data) event occurs, the sender will create a packet (sndpkt) containing the data to be sent, along with a packet checksum (for example, as discussed in Section 3.3.2 for the case of a UDP segment), and then send the packet via the
udt_send(sndpkt) operation. In the rightmost state, the sender protocol is waiting for an ACK or a NAK packet from the receiver. If an ACK packet is received
Figure 3.10 rdt2.0 – A protocol for a channel with bit errors
(the notation rdt_rcv(rcvpkt) && isACK (rcvpkt) in Figure 3.10 corresponds to this event), the sender knows that the most recently transmitted packet has been received correctly and thus the protocol returns to the state of waiting for data from the upper layer. If a NAK is received, the protocol retransmits the last packet and waits for an ACK or NAK to be returned by the receiver in response to
the retransmitted data packet. It is important to note that when the sender is in the wait-for-ACK-or-NAK
state, it cannot get more data from the upper layer; that is, the rdt_send() event can not occur; that will happen only after the sender receives an ACK and leaves this state. Thus, the sender will not send a new piece of data until it is sure that the receiver has correctly received the current packet. Because of
this behavior, protocols such as rdt2.0 are known as stop-and-wait protocols.
The receiver-side FSM for rdt2.0 still has a single state. On packet arrival, the receiver replies with either an ACK or a NAK, depending on whether or not the received packet is corrupted. In Figure 3.10, the notation rdt_rcv(rcvpkt) && corrupt(rcvpkt) corresponds to the event in which a packet is received and is found to be in error.
Protocol rdt2.0 may look as if it works but, unfortunately, it has a fatal flaw. In particular, we haven’t accounted for the possibility that the ACK or NAK packet could be corrupted! (Before proceeding on, you should think about how this problem may be fixed.) Unfortunately, our slight oversight is not as innocuous as it may seem. Minimally, we will need to add checksum bits to ACK/NAK packets in order to detect such errors. The more difficult question is how the protocol should recover from errors in ACK or NAK packets. The difficulty here is that if an ACK or NAK is corrupted, the sender has no way of knowing whether or not the receiver has correctly received the last piece of transmitted data.
Consider three possibilities for handling corrupted ACKs or NAKs:
For the first possibility, consider what a human might do in the message-dictation scenario. If the speaker didn’t understand the “OK” or “Please repeat that” reply from the receiver, the speaker
would probably ask, “What did you say?” (thus introducing a new type of sender-to-receiver packet to our protocol). The receiver would then repeat the reply. But what if the speaker’s “What did you say?” is corrupted? The receiver, having no idea whether the garbled sentence was part of the
dictation or a request to repeat the last reply, would probably then respond with “What did you say?” And then, of course, that response might be garbled. Clearly, we’re heading down a difficult path.
A second alternative is to add enough checksum bits to allow the sender not only to detect, but also to recover from, bit errors. This solves the immediate problem for a channel that can corrupt packets
but not lose them.
A third approach is for the sender simply to resend the current data packet when it receives a
garbled ACK or NAK packet. This approach, however, introduces duplicate packets into the sender-to-receiver channel. The fundamental difficulty with duplicate packets is that the receiver doesn’t know whether the ACK or NAK it last sent was received correctly at the sender. Thus, it
cannot know a priori whether an arriving packet contains new data or is a retransmission!
A simple solution to this new problem (and one adopted in almost all existing data transfer protocols, including TCP) is to add a new field to the data packet and have the sender number its data packets by putting a sequence number into this field. The receiver then need only check this sequence number to
determine whether or not the received packet is a retransmission. For this simple case of a stop-and- wait protocol, a 1-bit sequence number will suffice, since it will allow the receiver to know whether the sender is resending the previously transmitted packet (the sequence number of the received packet has the same sequence number as the most recently received packet) or a new packet (the sequence number changes, moving “forward” in modulo-2 arithmetic). Since we are currently assuming a channel that does not lose packets, ACK and NAK packets do not themselves need to indicate the sequence number of the packet they are acknowledging. The sender knows that a received ACK or NAK packet (whether garbled or not) was generated in response to its most recently transmitted data packet.
Figures 3.11 and 3.12 show the FSM description for rdt2.1, our fixed version of rdt2.0. The
rdt2.1 sender and receiver FSMs each now have twice as many states as before. This is because the protocol state must now reflect whether the packet currently being sent (by the sender) or expected (at the receiver) should have a sequence number of 0 or 1. Note that the actions in those states where a 0- numbered packet is being sent or expected are mirror images of those where a 1-numbered packet is being sent or expected; the only differences have to do with the handling of the sequence number.
Protocol rdt2.1 uses both positive and negative acknowledgments from the receiver to the sender. When an out-of-order packet is received, the receiver sends a positive acknowledgment for the packet it has received. When a corrupted packet
Figure 3.11 rdt2.1 sender
Figure 3.12 rdt2.1 receiver
is received, the receiver sends a negative acknowledgment. We can accomplish the same effect as a NAK if, instead of sending a NAK, we send an ACK for the last correctly received packet. A sender that receives two ACKs for the same packet (that is, receives duplicate ACKs) knows that the receiver did not correctly receive the packet following the packet that is being ACKed twice. Our NAK-free reliable
data transfer protocol for a channel with bit errors is rdt2.2, shown in Figures 3.13 and 3.14. One
subtle change between rtdt2.1 and rdt2.2 is that the receiver must now include the sequence
number of the packet being acknowledged by an ACK message (this is done by including the ACK, 0
or ACK, 1 argument in make_pkt() in the receiver FSM), and the sender must now check the sequence number of the packet being acknowledged by a received ACK message (this is done by
including the 0 or 1 argument in isACK() in the sender FSM). Reliable Data Transfer over a Lossy Channel with Bit Errors: rdt3.0
Suppose now that in addition to corrupting bits, the underlying channel can lose packets as well, a not- uncommon event in today’s computer networks (including the Internet). Two additional concerns must
now be addressed by the protocol: how to detect packet loss and what to do when packet loss occurs. The use of checksumming, sequence numbers, ACK packets, and retransmissions—the techniques
Figure 3.13 rdt2.2 sender
already developed in rdt2.2—will allow us to answer the latter concern. Handling the first concern will
require adding a new protocol mechanism.
There are many possible approaches toward dealing with packet loss (several more of which are explored in the exercises at the end of the chapter). Here, we’ll put the burden of detecting and recovering from lost packets on the sender. Suppose that the sender transmits a data packet and either that packet, or the receiver’s ACK of that packet, gets lost. In either case, no reply is forthcoming at the
sender from the receiver. If the sender is willing to wait long enough so that it is certain that a packet has been lost, it can simply retransmit the data packet. You should convince yourself that this protocol does
indeed work.
But how long must the sender wait to be certain that something has been lost? The sender must clearly wait at least as long as a round-trip delay between the sender and receiver (which may include buffering at intermediate routers) plus whatever amount of time is needed to process a packet at the receiver. In many networks, this worst-case maximum delay is very difficult even to estimate, much less know with certainty. Moreover, the protocol should ideally recover from packet loss as soon as possible; waiting for a worst-case delay could mean a long wait until error recovery
Figure 3.14 rdt2.2 receiver
is initiated. The approach thus adopted in practice is for the sender to judiciously choose a time value such that packet loss is likely, although not guaranteed, to have happened. If an ACK is not received within this time, the packet is retransmitted. Note that if a packet experiences a particularly large delay, the sender may retransmit the packet even though neither the data packet nor its ACK have been lost. This introduces the possibility of duplicate data packets in the sender-to-receiver channel. Happily,
protocol rdt2.2 already has enough functionality (that is, sequence numbers) to handle the case of duplicate packets.
From the sender’s viewpoint, retransmission is a panacea. The sender does not know whether a data packet was lost, an ACK was lost, or if the packet or ACK was simply overly delayed. In all cases, the action is the same: retransmit. Implementing a time-based retransmission mechanism requires a countdown timer that can interrupt the sender after a given amount of time has expired. The sender will thus need to be able to (1) start the timer each time a packet (either a first-time packet or a retransmission) is sent, (2) respond to a timer interrupt (taking appropriate actions), and (3) stop the timer.
Figure 3.15 shows the sender FSM for rdt3.0, a protocol that reliably transfers data over a channel that can corrupt or lose packets; in the homework problems, you’ll be asked to provide the receiver FSM
for rdt3.0. Figure 3.16 shows how the protocol operates with no lost or delayed packets and how it
handles lost data packets. In Figure 3.16, time moves forward from the top of the diagram toward the bottom of the
Figure 3.15 rdt3.0 sender
diagram; note that a receive time for a packet is necessarily later than the send time for a packet as a
result of transmission and propagation delays. In Figures 3.16(b)–(d), the send-side brackets indicate the times at which a timer is set and later times out. Several of the more subtle aspects of this protocol
are explored in the exercises at the end of this chapter. Because packet sequence numbers alternate between 0 and 1, protocol rdt3.0 is sometimes known as the alternating-bit protocol.
We have now assembled the key elements of a data transfer protocol. Checksums, sequence numbers, timers, and positive and negative acknowledgment packets each play a crucial and necessary role in the operation of the protocol. We now have a working reliable data transfer protocol!
Developing a protocol and FSM representation for a simple application-layer protocol
3.4.2 Pipelined Reliable Data Transfer Protocols
Protocol rdt3.0 is a functionally correct protocol, but it is unlikely that anyone would be happy with its performance, particularly in today’s high-speed networks. At the heart of rdt3.0’s performance
problem is the fact that it is a stop-and-wait protocol.
Figure 3.16 Operation of rdt3.0, the alternating-bit protocol
Figure 3.17 Stop-and-wait versus pipelined protocol
To appreciate the performance impact of this stop-and-wait behavior, consider an idealized case of two hosts, one located on the West Coast of the United States and the other located on the East Coast, as
shown in Figure 3.17. The speed-of-light round-trip propagation delay between these two end systems, RTT, is approximately 30 milliseconds. Suppose that they are connected by a channel with a
transmission rate, R, of 1 Gbps (109 bits per second). With a packet size, L, of 1,000 bytes (8,000 bits) per packet, including both header fields and data, the time needed to actually transmit the packet into the 1 Gbps link is
dtrans=LR=8000 bits/packet109 bits/sec=8 microseconds
Figure 3.18(a) shows that with our stop-and-wait protocol, if the sender begins sending the packet at t=0, then at t=L/R=8 microseconds, the last bit enters the channel at the sender side. The packet then
makes its 15-msec cross-country journey, with the last bit of the packet emerging at the receiver at t=RTT/2+L/R= 15.008 msec. Assuming for simplicity that ACK packets are extremely small (so that we can ignore their transmission time) and that the receiver can send an ACK as soon as the last bit of a data packet is received, the ACK emerges back at the sender at t=RTT+L/R=30.008 msec. At this point, the sender can now transmit the next message. Thus, in 30.008 msec, the sender was sending for only 0.008 msec. If we define the utilization of the sender (or the channel) as the fraction of time the sender
is actually busy sending bits into the channel, the analysis in Figure 3.18(a) shows that the stop-and- wait protocol has a rather dismal sender utilization, Usender, of
Usender=L/RRTT+L/R =.00830.008=0.00027
Figure 3.18 Stop-and-wait and pipelined sending
That is, the sender was busy only 2.7 hundredths of one percent of the time! Viewed another way, the sender was able to send only 1,000 bytes in 30.008 milliseconds, an effective throughput of only 267 kbps—even though a 1 Gbps link was available! Imagine the unhappy network manager who just paid a fortune for a gigabit capacity link but manages to get a throughput of only 267 kilobits per second! This is a graphic example of how network protocols can limit the capabilities provided by the underlying network hardware. Also, we have neglected lower-layer protocol-processing times at the sender and receiver, as well as the processing and queuing delays that would occur at any intermediate routers
between the sender and receiver. Including these effects would serve only to further increase the delay and further accentuate the poor performance.
The solution to this particular performance problem is simple: Rather than operate in a stop-and-wait manner, the sender is allowed to send multiple packets without waiting for acknowledgments, as
illustrated in Figure 3.17(b). Figure 3.18(b) shows that if the sender is allowed to transmit three packets before having to wait for acknowledgments, the utilization of the sender is essentially tripled. Since the
many in-transit sender-to-receiver packets can be visualized as filling a pipeline, this technique is known as pipelining. Pipelining has the following consequences for reliable data transfer protocols:
The range of sequence numbers must be increased, since each in-transit packet (not counting retransmissions) must have a unique sequence number and there may be multiple, in-transit,
unacknowledged packets.
The sender and receiver sides of the protocols may have to buffer more than one packet. Minimally, the sender will have to buffer packets that have been transmitted but not yet acknowledged.
Buffering of correctly received packets may also be needed at the receiver, as discussed below.
The range of sequence numbers needed and the buffering requirements will depend on the manner in which a data transfer protocol responds to lost, corrupted, and overly delayed packets. Two basic
approaches toward pipelined error recovery can be identified: Go-Back-N and selective repeat. 3.4.3 Go-Back-N (GBN)
In a Go-Back-N (GBN) protocol, the sender is allowed to transmit multiple packets (when available) without waiting for an acknowledgment, but is constrained to have no more than some maximum
allowable number, N, of unacknowledged packets in the pipeline. We describe the GBN protocol in some detail in this section. But before reading on, you are encouraged to play with the GBN applet (an
awesome applet!) at the companion Web site.
Figure 3.19 shows the sender’s view of the range of sequence numbers in a GBN protocol. If we define
base to be the sequence number of the oldest unacknowledged
Figure 3.19 Sender’s view of sequence numbers in Go-Back-N
packet and nextseqnum to be the smallest unused sequence number (that is, the sequence number of the next packet to be sent), then four intervals in the range of sequence numbers can be identified.
Sequence numbers in the interval [0, base-1] correspond to packets that have already been
transmitted and acknowledged. The interval [base, nextseqnum-1] corresponds to packets that
have been sent but not yet acknowledged. Sequence numbers in the interval [nextseqnum,
base+N-1] can be used for packets that can be sent immediately, should data arrive from the upper
layer. Finally, sequence numbers greater than or equal to base+N cannot be used until an
unacknowledged packet currently in the pipeline (specifically, the packet with sequence number base) has been acknowledged.
As suggested by Figure 3.19, the range of permissible sequence numbers for transmitted but not yet
acknowledged packets can be viewed as a window of size N over the range of sequence numbers. As
the protocol operates, this window slides forward over the sequence number space. For this reason, N is often referred to as the window size and the GBN protocol itself as a sliding-window protocol. You
might be wondering why we would even limit the number of outstanding, unacknowledged packets to a
value of N in the first place. Why not allow an unlimited number of such packets? We’ll see in Section 3.5 that flow control is one reason to impose a limit on the sender. We’ll examine another reason to do so in Section 3.7, when we study TCP congestion control.
In practice, a packet’s sequence number is carried in a fixed-length field in the packet header. If k is the number of bits in the packet sequence number field, the range of sequence numbers is thus [0,2k−1].
With a finite range of sequence numbers, all arithmetic involving sequence numbers must then be done using modulo 2k arithmetic. (That is, the sequence number space can be thought of as a ring of size 2k,
where sequence number 2k−1 is immediately followed by sequence number 0.) Recall that rdt3.0 had a 1-bit sequence number and a range of sequence numbers of [0,1]. Several of the problems at the end of this chapter explore the consequences of a finite range of sequence numbers. We will see in
Section 3.5 that TCP has a 32-bit sequence number field, where TCP sequence numbers count bytes in the byte stream rather than packets.
Figures 3.20 and 3.21 give an extended FSM description of the sender and receiver sides of an ACK- based, NAK-free, GBN protocol. We refer to this FSM
Figure 3.20 Extended FSM description of the GBN sender
Figure 3.21 Extended FSM description of the GBN receiver
description as an extended FSM because we have added variables (similar to programming-language variables) for base and nextseqnum, and added operations on these variables and conditional actions involving these variables. Note that the extended FSM specification is now beginning to look
somewhat like a programming-language specification. [Bochman 1984] provides an excellent survey of
additional extensions to FSM techniques as well as other programming-language-based techniques for specifying protocols.
The GBN sender must respond to three types of events:
Invocation from above. When rdt_send() is called from above, the sender first checks to see if
the window is full, that is, whether there are N outstanding, unacknowledged packets. If the window is not full, a packet is created and sent, and variables are appropriately updated. If the window is full,
the sender simply returns the data back to the upper layer, an implicit indication that the window is full. The upper layer would presumably then have to try again later. In a real implementation, the sender would more likely have either buffered (but not immediately sent) this data, or would have a synchronization mechanism (for example, a semaphore or a flag) that would allow the upper layer to
call rdt_send() only when the window is not full.
Receipt of an ACK. In our GBN protocol, an acknowledgment for a packet with sequence number n
will be taken to be a cumulative acknowledgment, indicating that all packets with a sequence number up to and including n have been correctly received at the receiver. We’ll come back to this
issue shortly when we examine the receiver side of GBN.
A timeout event. The protocol’s name, “Go-Back-N,” is derived from the sender’s behavior in the presence of lost or overly delayed packets. As in the stop-and-wait protocol, a timer will again be
used to recover from lost data or acknowledgment packets. If a timeout occurs, the sender resends all packets that have been previously sent but that have not yet been acknowledged. Our sender in
Figure 3.20 uses only a single timer, which can be thought of as a timer for the oldest transmitted but not yet acknowledged packet. If an ACK is received but there are still additional transmitted but
not yet acknowledged packets, the timer is restarted. If there are no outstanding, unacknowledged packets, the timer is stopped.
The receiver’s actions in GBN are also simple. If a packet with sequence number n is received correctly and is in order (that is, the data last delivered to the upper layer came from a packet with sequence
number n−1), the receiver sends an ACK for packet n and delivers the data portion of the packet to the upper layer. In all other cases, the receiver discards the packet and resends an ACK for the most
recently received in-order packet. Note that since packets are delivered one at a time to the upper layer,
if packet k has been received and delivered, then all packets with a sequence number lower than k have also been delivered. Thus, the use of cumulative acknowledgments is a natural choice for GBN.
In our GBN protocol, the receiver discards out-of-order packets. Although it may seem silly and wasteful to discard a correctly received (but out-of-order) packet, there is some justification for doing so. Recall
that the receiver must deliver data in order to the upper layer. Suppose now that packet n is expected, but packet n+1 arrives. Because data must be delivered in order, the receiver could buffer (save) packet n+1 and then deliver this packet to the upper layer after it had later received and delivered packet n. However, if packet n is lost, both it and packet n+1 will eventually be retransmitted as a result of the
GBN retransmission rule at the sender. Thus, the receiver can simply discard packet n+1. The
advantage of this approach is the simplicity of receiver buffering—the receiver need not buffer any out- of-order packets. Thus, while the sender must maintain the upper and lower bounds of its window and
the position of nextseqnum within this window, the only piece of information the receiver need maintain is the sequence number of the next in-order packet. This value is held in the variable
expectedseqnum, shown in the receiver FSM in Figure 3.21. Of course, the disadvantage of throwing away a correctly received packet is that the subsequent retransmission of that packet might be lost or garbled and thus even more retransmissions would be required.
Figure 3.22 shows the operation of the GBN protocol for the case of a window size of four packets. Because of this window size limitation, the sender sends packets 0 through 3 but then must wait for one
or more of these packets to be acknowledged before proceeding. As each successive ACK (for
example, ACK0 and ACK1) is received, the window slides forward and the sender can transmit one new packet (pkt4 and pkt5, respectively). On the receiver side, packet 2 is lost and thus packets 3, 4, and 5 are found to be out of order and are discarded.
Before closing our discussion of GBN, it is worth noting that an implementation of this protocol in a
protocol stack would likely have a structure similar to that of the extended FSM in Figure 3.20. The implementation would also likely be in the form of various procedures that implement the actions to be
taken in response to the various events that can occur. In such event-based programming, the various procedures are called (invoked) either by other procedures in the protocol stack, or as the result of an interrupt. In the sender, these events would be (1) a call from the upper-layer entity to invoke
rdt_send(), (2) a timer interrupt, and (3) a call from the lower layer to invoke rdt_rcv() when a packet arrives. The programming exercises at the end of this chapter will give you a chance to actually implement these routines in a simulated, but realistic, network setting.
We note here that the GBN protocol incorporates almost all of the techniques that we will encounter
when we study the reliable data transfer components of TCP in Section 3.5. These techniques include the use of sequence numbers, cumulative acknowledgments, checksums, and a timeout/retransmit
operation.
Figure 3.22 Go-Back-N in operation
3.4.4 Selective Repeat (SR)
The GBN protocol allows the sender to potentially “fill the pipeline” in Figure 3.17 with packets, thus avoiding the channel utilization problems we noted with stop-and-wait protocols. There are, however,
scenarios in which GBN itself suffers from performance problems. In particular, when the window size and bandwidth-delay product are both large, many packets can be in the pipeline. A single packet error can thus cause GBN to retransmit a large number of packets, many unnecessarily. As the probability of channel errors increases, the pipeline can become filled with these unnecessary retransmissions. Imagine, in our message-dictation scenario, that if every time a word was garbled, the surrounding 1,000 words (for example, a window size of 1,000 words) had to be repeated. The dictation would be
slowed by all of the reiterated words.
As the name suggests, selective-repeat protocols avoid unnecessary retransmissions by having the sender retransmit only those packets that it suspects were received in error (that is, were lost or corrupted) at the receiver. This individual, as-needed, retransmission will require that the receiver
individually acknowledge correctly received packets. A window size of N will again be used to limit the number of outstanding, unacknowledged packets in the pipeline. However, unlike GBN, the sender will
have already received ACKs for some of the packets in the window. Figure 3.23 shows the SR sender’s view of the sequence number space. Figure 3.24 details the various actions taken by the SR sender.
The SR receiver will acknowledge a correctly received packet whether or not it is in order. Out-of-order packets are buffered until any missing packets (that is, packets with lower sequence numbers) are
received, at which point a batch of packets can be delivered in order to the upper layer. Figure 3.25 itemizes the various actions taken by the SR receiver. Figure 3.26 shows an example of SR operation
in the presence of lost packets. Note that in Figure 3.26, the receiver initially buffers packets 3, 4, and 5, and delivers them together with packet 2 to the upper layer when packet 2 is finally received.
Figure 3.23 Selective-repeat (SR) sender and receiver views of sequence-number space
Figure 3.24 SR sender events and actions
Figure 3.25 SR receiver events and actions
It is important to note that in Step 2 in Figure 3.25, the receiver reacknowledges (rather than ignores) already received packets with certain sequence numbers below the current window base. You should
convince yourself that this reacknowledgment is indeed needed. Given the sender and receiver
sequence number spaces in Figure 3.23, for example, if there is no ACK for packet send_base propagating from the
Figure 3.26 SR operation
receiver to the sender, the sender will eventually retransmit packet send_base, even though it is clear (to us, not the sender!) that the receiver has already received that packet. If the receiver were not to acknowledge this packet, the sender’s window would never move forward! This example illustrates an important aspect of SR protocols (and many other protocols as well). The sender and receiver will not always have an identical view of what has been received correctly and what has not. For SR protocols, this means that the sender and receiver windows will not always coincide.
The lack of synchronization between sender and receiver windows has important consequences when we are faced with the reality of a finite range of sequence numbers. Consider what could happen, for example, with a finite range of four packet sequence numbers, 0, 1, 2, 3, and a window size of three.
Suppose packets 0 through 2 are transmitted and correctly received and acknowledged at the receiver. At this point, the receiver’s window is over the fourth, fifth, and sixth packets, which have sequence
numbers 3, 0, and 1, respectively. Now consider two scenarios. In the first scenario, shown in Figure 3.27(a), the ACKs for the first three packets are lost and the sender retransmits these packets. The
receiver thus next receives a packet with sequence number 0—a copy of the first packet sent.
In the second scenario, shown in Figure 3.27(b), the ACKs for the first three packets are all delivered correctly. The sender thus moves its window forward and sends the fourth, fifth, and sixth packets, with
sequence numbers 3, 0, and 1, respectively. The packet with sequence number 3 is lost, but the packet with sequence number 0 arrives—a packet containing new data.
Now consider the receiver’s viewpoint in Figure 3.27, which has a figurative curtain between the sender and the receiver, since the receiver cannot “see” the actions taken by the sender. All the receiver
observes is the sequence of messages it receives from the channel and sends into the channel. As far
as it is concerned, the two scenarios in Figure 3.27 are identical. There is no way of distinguishing the retransmission of the first packet from an original transmission of the fifth packet. Clearly, a window size
that is 1 less than the size of the sequence number space won’t work. But how small must the window size be? A problem at the end of the chapter asks you to show that the window size must be less than or equal to half the size of the sequence number space for SR protocols.
At the companion Web site, you will find an applet that animates the operation of the SR protocol. Try performing the same experiments that you did with the GBN applet. Do the results agree with what you expect?
This completes our discussion of reliable data transfer protocols. We’ve covered a lot of ground and introduced numerous mechanisms that together provide for reliable data transfer. Table 3.1 summarizes
these mechanisms. Now that we have seen all of these mechanisms in operation and can see the “big picture,” we encourage you to review this section again to see how these mechanisms were incrementally added to cover increasingly complex (and realistic) models of the channel connecting the sender and receiver, or to improve the performance of the protocols.
Let’s conclude our discussion of reliable data transfer protocols by considering one remaining assumption in our underlying channel model. Recall that we have assumed that packets cannot be reordered within the channel between the sender and receiver. This is generally a reasonable assumption when the sender and receiver are connected by a single physical wire. However, when the “channel” connecting the two is a network, packet reordering can occur. One manifestation of packet reordering is that old copies of a packet with a sequence or acknowledgment
Figure 3.27 SR receiver dilemma with too-large windows: A new packet or a retransmission?
Table 3.1 Summary of reliable data transfer mechanisms and their use
Mechanism
Use, Comments
Checksum
Used to detect bit errors in a transmitted packet.
Timer
Used to timeout/retransmit a packet, possibly because the packet (or its ACK) was lost within the channel. Because timeouts can occur when a packet is delayed but not lost (premature timeout), or when a packet has been received by the receiver but the receiver-to-sender ACK has been lost, duplicate copies
number of x can appear, even though neither the sender’s nor the receiver’s window contains x. With packet reordering, the channel can be thought of as essentially buffering packets and spontaneously
emitting these packets at any point in the future. Because sequence numbers may be reused, some care must be taken to guard against such duplicate packets. The approach taken in practice is to ensure
that a sequence number is not reused until the sender is “sure” that any previously sent packets with
sequence number x are no longer in the network. This is done by assuming that a packet cannot “live” in the network for longer than some fixed maximum amount of time. A maximum packet lifetime of
approximately three minutes is assumed in the TCP extensions for high-speed networks [RFC 1323].
[Sunshine 1978] describes a method for using sequence numbers such that reordering problems can be completely avoided.
of a packet may be received by a receiver.
Sequence number
Used for sequential numbering of packets of data flowing from sender to receiver. Gaps in the sequence numbers of received packets allow the receiver to detect a lost packet. Packets with duplicate sequence numbers allow the receiver to detect duplicate copies of a packet.
Acknowledgment
Used by the receiver to tell the sender that a packet or set of packets has been received correctly. Acknowledgments will typically carry the sequence number of the packet or packets being acknowledged. Acknowledgments may be individual or cumulative, depending on the protocol.
Negative acknowledgment
Used by the receiver to tell the sender that a packet has not been received correctly. Negative acknowledgments will typically carry the sequence number of the packet that was not received correctly.
Window, pipelining
The sender may be restricted to sending only packets with sequence numbers that fall within a given range. By allowing multiple packets to be transmitted but not yet acknowledged, sender utilization can be increased over a stop-and-wait mode of operation. We’ll see shortly that the window size may be set on the basis of the receiver’s ability to receive and buffer messages, or the level of congestion in the network, or both.
3.5 Connection-Oriented Transport: TCP
Now that we have covered the underlying principles of reliable data transfer, let’s turn to TCP—the Internet’s transport-layer, connection-oriented, reliable transport protocol. In this section, we’ll see that in order to provide reliable data transfer, TCP relies on many of the underlying principles discussed in the previous section, including error detection, retransmissions, cumulative acknowledgments, timers, and header fields for sequence and acknowledgment numbers. TCP is defined in RFC 793, RFC 1122, RFC 1323, RFC 2018, and RFC 2581.
3.5.1 The TCP Connection
TCP is said to be connection-oriented because before one application process can begin to send data to another, the two processes must first “handshake” with each other—that is, they must send some preliminary segments to each other to establish the parameters of the ensuing data transfer. As part of TCP connection establishment, both sides of the connection will initialize many TCP state variables
(many of which will be discussed in this section and in Section 3.7) associated with the TCP connection.
The TCP “connection” is not an end-to-end TDM or FDM circuit as in a circuit-switched network. Instead, the “connection” is a logical one, with common state residing only in the TCPs in the two communicating end systems. Recall that because the TCP protocol runs only in the end systems and not in the intermediate network elements (routers and link-layer switches), the intermediate network elements do not maintain TCP connection state. In fact, the intermediate routers are completely oblivious to TCP connections; they see datagrams, not connections.
A TCP connection provides a full-duplex service: If there is a TCP connection between Process A on one host and Process B on another host, then application-layer data can flow from Process A to Process B at the same time as application-layer data flows from Process B to Process A. A TCP connection is also always point-to-point, that is, between a single sender and a single receiver. So- called “multicasting” (see the online supplementary materials for this text)—the transfer of data from one sender to many receivers in a single send operation—is not possible with TCP. With TCP, two hosts are company and three are a crowd!
Let’s now take a look at how a TCP connection is established. Suppose a process running in one host wants to initiate a connection with another process in another host. Recall that the process that is
initiating the connection is called the client process, while the other process is called the server process. The client application process first informs the client transport layer that it wants to establish a
connection
CASE HISTORY
Vinton Cerf, Robert Kahn, and TCP/IP
In the early 1970s, packet-switched networks began to proliferate, with the ARPAnet—the precursor of the Internet—being just one of many networks. Each of these networks had its own protocol. Two researchers, Vinton Cerf and Robert Kahn, recognized the importance of interconnecting these networks and invented a cross-network protocol called TCP/IP, which stands for Transmission Control Protocol/Internet Protocol. Although Cerf and Kahn began by seeing the protocol as a single entity, it was later split into its two parts, TCP and IP, which
operated separately. Cerf and Kahn published a paper on TCP/IP in May 1974 in IEEE Transactions on Communications Technology [Cerf 1974].
The TCP/IP protocol, which is the bread and butter of today’s Internet, was devised before PCs, workstations, smartphones, and tablets, before the proliferation of Ethernet, cable, and DSL, WiFi, and other access network technologies, and before the Web, social media, and streaming video. Cerf and Kahn saw the need for a networking protocol that, on the one hand, provides broad support for yet-to-be-defined applications and, on the other hand, allows arbitrary hosts and link-layer protocols to interoperate.
In 2004, Cerf and Kahn received the ACM’s Turing Award, considered the “Nobel Prize of Computing” for “pioneering work on internetworking, including the design and implementation of the Internet’s basic communications protocols, TCP/IP, and for inspired leadership in networking.”
to a process in the server. Recall from Section 2.7.2, a Python client program does this by issuing the command
where serverName is the name of the server and serverPort identifies the process on the server. TCP in the client then proceeds to establish a TCP connection with TCP in the server. At the end of this section we discuss in some detail the connection-establishment procedure. For now it suffices to know that the client first sends a special TCP segment; the server responds with a second special TCP segment; and finally the client responds again with a third special segment. The first two segments carry no payload, that is, no application-layer data; the third of these segments may carry a payload. Because
clientSocket.connect((serverName, serverPort))
three segments are sent between the two hosts, this connection-establishment procedure is often referred to as a three-way handshake.
Once a TCP connection is established, the two application processes can send data to each other. Let’s consider the sending of data from the client process to the server process. The client process passes a
stream of data through the socket (the door of the process), as described in Section 2.7. Once the data passes through the door, the data is in the hands of TCP running in the client. As shown in Figure 3.28,
TCP directs this data to the connection’s send buffer, which is one of the buffers that is set aside during the initial three-way handshake. From time to time, TCP will grab chunks of data from the send buffer
and pass the data to the network layer. Interestingly, the TCP specification [RFC 793] is very laid back about specifying when TCP should actually send buffered data, stating that TCP should “send that data
in segments at its own convenience.” The maximum amount of data that can be grabbed and placed in a segment is limited by the maximum segment size (MSS). The MSS is typically set by first determining the length of the largest link-layer frame that can be sent by the local sending host (the so- called maximum transmission unit, MTU), and then setting the MSS to ensure that a TCP segment (when encapsulated in an IP datagram) plus the TCP/IP header length (typically 40 bytes) will fit into a single link-layer frame. Both Ethernet and PPP link-layer protocols have an MTU of 1,500 bytes. Thus a typical value of MSS is 1460 bytes. Approaches have also been proposed for discovering the path MTU
—the largest link-layer frame that can be sent on all links from source to destination [RFC 1191]—and setting the MSS based on the path MTU value. Note that the MSS is the maximum amount of
application-layer data in the segment, not the maximum size of the TCP segment including headers. (This terminology is confusing, but we have to live with it, as it is well entrenched.)
TCP pairs each chunk of client data with a TCP header, thereby forming TCP segments. The segments are passed down to the network layer, where they are separately encapsulated within network-layer IP datagrams. The IP datagrams are then sent into the network. When TCP receives a segment at the
other end, the segment’s data is placed in the TCP connection’s receive buffer, as shown in Figure 3.28. The application reads the stream of data from this buffer. Each side of the connection has
Figure 3.28 TCP send and receive buffers
its own send buffer and its own receive buffer. (You can see the online flow-control applet at http://www.awl.com/kurose-ross, which provides an animation of the send and receive buffers.)
We see from this discussion that a TCP connection consists of buffers, variables, and a socket connection to a process in one host, and another set of buffers, variables, and a socket connection to a process in another host. As mentioned earlier, no buffers or variables are allocated to the connection in the network elements (routers, switches, and repeaters) between the hosts.
3.5.2 TCP Segment Structure
Having taken a brief look at the TCP connection, let’s examine the TCP segment structure. The TCP segment consists of header fields and a data field. The data field contains a chunk of application data. As mentioned above, the MSS limits the maximum size of a segment’s data field. When TCP sends a large file, such as an image as part of a Web page, it typically breaks the file into chunks of size MSS (except for the last chunk, which will often be less than the MSS). Interactive applications, however, often transmit data chunks that are smaller than the MSS; for example, with remote login applications like Telnet, the data field in the TCP segment is often only one byte. Because the TCP header is typically 20 bytes (12 bytes more than the UDP header), segments sent by Telnet may be only 21 bytes in length.
Figure 3.29 shows the structure of the TCP segment. As with UDP, the header includes source and destination port numbers, which are used for multiplexing/demultiplexing data from/to upper-layer
applications. Also, as with UDP, the header includes a checksum field. A TCP segment header also contains the following fields:
The 32-bit sequence number field and the 32-bit acknowledgment number field are used by the TCP sender and receiver in implementing a reliable data transfer service, as discussed below.
The 16-bit receive window field is used for flow control. We will see shortly that it is used to indicate the number of bytes that a receiver is willing to accept.
The 4-bit header length field specifies the length of the TCP header in 32-bit words. The TCP header can be of variable length due to the TCP options field. (Typically, the options field is empty,
so that the length of the typical TCP header is 20 bytes.)
The optional and variable-length options field is used when a sender and receiver negotiate the maximum segment size (MSS) or as a window scaling factor for use in high-speed networks. A time-
stamping option is also defined. See RFC 854 and RFC 1323 for additional details.
The flag field contains 6 bits. The ACK bit is used to indicate that the value carried in the acknowledgment field is valid; that is, the segment contains an acknowledgment for a segment that
has been successfully received. The RST,
Figure 3.29 TCP segment structure
SYN, and FIN bits are used for connection setup and teardown, as we will discuss at the end of this section. The CWR and ECE bits are used in explicit congestion notification, as discussed in Section
3.7.2. Setting the PSH bit indicates that the receiver should pass the data to the upper layer immediately. Finally, the URG bit is used to indicate that there is data in this segment that the
sending-side upper-layer entity has marked as “urgent.” The location of the last byte of this urgent data is indicated by the 16-bit urgent data pointer field. TCP must inform the receiving-side upper- layer entity when urgent data exists and pass it a pointer to the end of the urgent data. (In practice, the PSH, URG, and the urgent data pointer are not used. However, we mention these fields for completeness.)
Our experience as teachers is that our students sometimes find discussion of packet formats rather dry and perhaps a bit boring. For a fun and fanciful look at TCP header fields, particularly if you love
LegosTM as we do, see [Pomeranz 2010].
Sequence Numbers and Acknowledgment Numbers
Two of the most important fields in the TCP segment header are the sequence number field and the acknowledgment number field. These fields are a critical part of TCP’s reliable data transfer service. But before discussing how these fields are used to provide reliable data transfer, let us first explain what exactly TCP puts in these fields.
Figure 3.30 Dividing file data into TCP segments
TCP views data as an unstructured, but ordered, stream of bytes. TCP’s use of sequence numbers reflects this view in that sequence numbers are over the stream of transmitted bytes and not over the
series of transmitted segments. The sequence number for a segment is therefore the byte-stream number of the first byte in the segment. Let’s look at an example. Suppose that a process in Host A wants to send a stream of data to a process in Host B over a TCP connection. The TCP in Host A will implicitly number each byte in the data stream. Suppose that the data stream consists of a file consisting of 500,000 bytes, that the MSS is 1,000 bytes, and that the first byte of the data stream is numbered 0.
As shown in Figure 3.30, TCP constructs 500 segments out of the data stream. The first segment gets assigned sequence number 0, the second segment gets assigned sequence number 1,000, the third
segment gets assigned sequence number 2,000, and so on. Each sequence number is inserted in the sequence number field in the header of the appropriate TCP segment.
Now let’s consider acknowledgment numbers. These are a little trickier than sequence numbers. Recall that TCP is full-duplex, so that Host A may be receiving data from Host B while it sends data to Host B (as part of the same TCP connection). Each of the segments that arrive from Host B has a sequence
number for the data flowing from B to A. The acknowledgment number that Host A puts in its segment is the sequence number of the next byte Host A is expecting from Host B. It is good to look at a few
examples to understand what is going on here. Suppose that Host A has received all bytes numbered 0 through 535 from B and suppose that it is about to send a segment to Host B. Host A is waiting for byte 536 and all the subsequent bytes in Host B’s data stream. So Host A puts 536 in the acknowledgment number field of the segment it sends to B.
As another example, suppose that Host A has received one segment from Host B containing bytes 0 through 535 and another segment containing bytes 900 through 1,000. For some reason Host A has not yet received bytes 536 through 899. In this example, Host A is still waiting for byte 536 (and beyond) in order to re-create B’s data stream. Thus, A’s next segment to B will contain 536 in the acknowledgment number field. Because TCP only acknowledges bytes up to the first missing byte in the stream, TCP is said to provide cumulative acknowledgments.
This last example also brings up an important but subtle issue. Host A received the third segment (bytes 900 through 1,000) before receiving the second segment (bytes 536 through 899). Thus, the third segment arrived out of order. The subtle issue is: What does a host do when it receives out-of-order segments in a TCP connection? Interestingly, the TCP RFCs do not impose any rules here and leave the decision up to the programmers implementing a TCP implementation. There are basically two choices: either (1) the receiver immediately discards out-of-order segments (which, as we discussed earlier, can simplify receiver design), or (2) the receiver keeps the out-of-order bytes and waits for the missing bytes to fill in the gaps. Clearly, the latter choice is more efficient in terms of network bandwidth, and is the approach taken in practice.
In Figure 3.30, we assumed that the initial sequence number was zero. In truth, both sides of a TCP connection randomly choose an initial sequence number. This is done to minimize the possibility that a
segment that is still present in the network from an earlier, already-terminated connection between two hosts is mistaken for a valid segment in a later connection between these same two hosts (which also
happen to be using the same port numbers as the old connection) [Sunshine 1978].
Telnet: A Case Study for Sequence and Acknowledgment Numbers
Telnet, defined in RFC 854, is a popular application-layer protocol used for remote login. It runs over TCP and is designed to work between any pair of hosts. Unlike the bulk data transfer applications
discussed in Chapter 2, Telnet is an interactive application. We discuss a Telnet example here, as it nicely illustrates TCP sequence and acknowledgment numbers. We note that many users now prefer to
use the SSH protocol rather than Telnet, since data sent in a Telnet connection (including passwords!) are not encrypted, making Telnet vulnerable to eavesdropping attacks (as discussed in Section 8.7).
Suppose Host A initiates a Telnet session with Host B. Because Host A initiates the session, it is labeled the client, and Host B is labeled the server. Each character typed by the user (at the client) will be sent to the remote host; the remote host will send back a copy of each character, which will be displayed on the Telnet user’s screen. This “echo back” is used to ensure that characters seen by the Telnet user have already been received and processed at the remote site. Each character thus traverses the network twice between the time the user hits the key and the time the character is displayed on the user’s monitor.
Now suppose the user types a single letter, ‘C,’ and then grabs a coffee. Let’s examine the TCP
segments that are sent between the client and server. As shown in Figure 3.31, we suppose the starting sequence numbers are 42 and 79 for the client and server, respectively. Recall that the sequence
number of a segment is the sequence number of the first byte in the data field. Thus, the first segment sent from the client will have sequence number 42; the first segment sent from the server will have sequence number 79. Recall that the acknowledgment number is the sequence
Figure 3.31 Sequence and acknowledgment numbers for a simple Telnet application over TCP
number of the next byte of data that the host is waiting for. After the TCP connection is established but before any data is sent, the client is waiting for byte 79 and the server is waiting for byte 42.
As shown in Figure 3.31, three segments are sent. The first segment is sent from the client to the server, containing the 1-byte ASCII representation of the letter ‘C’ in its data field. This first segment also
has 42 in its sequence number field, as we just described. Also, because the client has not yet received any data from the server, this first segment will have 79 in its acknowledgment number field.
The second segment is sent from the server to the client. It serves a dual purpose. First it provides an acknowledgment of the data the server has received. By putting 43 in the acknowledgment field, the server is telling the client that it has successfully received everything up through byte 42 and is now waiting for bytes 43 onward. The second purpose of this segment is to echo back the letter ‘C.’ Thus, the second segment has the ASCII representation of ‘C’ in its data field. This second segment has the sequence number 79, the initial sequence number of the server-to-client data flow of this TCP connection, as this is the very first byte of data that the server is sending. Note that the acknowledgment for client-to-server data is carried in a segment carrying server-to-client data; this acknowledgment is said to be piggybacked on the server-to-client data segment.
The third segment is sent from the client to the server. Its sole purpose is to acknowledge the data it has received from the server. (Recall that the second segment contained data—the letter ‘C’—from the server to the client.) This segment has an empty data field (that is, the acknowledgment is not being piggybacked with any client-to-server data). The segment has 80 in the acknowledgment number field because the client has received the stream of bytes up through byte sequence number 79 and it is now waiting for bytes 80 onward. You might think it odd that this segment also has a sequence number since the segment contains no data. But because TCP has a sequence number field, the segment needs to have some sequence number.
3.5.3 Round-Trip Time Estimation and Timeout
TCP, like our rdt protocol in Section 3.4, uses a timeout/retransmit mechanism to recover from lost segments. Although this is conceptually simple, many subtle issues arise when we implement a timeout/retransmit mechanism in an actual protocol such as TCP. Perhaps the most obvious question is the length of the timeout intervals. Clearly, the timeout should be larger than the connection’s round-trip time (RTT), that is, the time from when a segment is sent until it is acknowledged. Otherwise, unnecessary retransmissions would be sent. But how much larger? How should the RTT be estimated in the first place? Should a timer be associated with each and every unacknowledged segment? So many
questions! Our discussion in this section is based on the TCP work in [Jacobson 1988] and the current IETF recommendations for managing TCP timers [RFC 6298].
Estimating the Round-Trip Time
Let’s begin our study of TCP timer management by considering how TCP estimates the round-trip time
between sender and receiver. This is accomplished as follows. The sample RTT, denoted SampleRTT, for a segment is the amount of time between when the segment is sent (that is, passed to IP) and when
an acknowledgment for the segment is received. Instead of measuring a SampleRTT for every
transmitted segment, most TCP implementations take only one SampleRTT measurement at a time.
That is, at any point in time, the SampleRTT is being estimated for only one of the transmitted but
currently unacknowledged segments, leading to a new value of SampleRTT approximately once every
RTT. Also, TCP never computes a SampleRTT for a segment that has been retransmitted; it only
measures SampleRTT for segments that have been transmitted once [Karn 1987]. (A problem at the end of the chapter asks you to consider why.)
Obviously, the SampleRTT values will fluctuate from segment to segment due to congestion in the routers and to the varying load on the end systems. Because of this fluctuation, any given SampleRTT
value may be atypical. In order to estimate a typical RTT, it is therefore natural to take some sort of average of the SampleRTT values. TCP maintains an average, called EstimatedRTT, of the
SampleRTT values. Upon obtaining a new SampleRTT, TCP updates EstimatedRTT according to the following formula:
The formula above is written in the form of a programming-language statement—the new value of EstimatedRTT is a weighted combination of the previous value of EstimatedRTT and the new value for
SampleRTT. The recommended value of α is α = 0.125 (that is, 1/8) [RFC 6298], in which case the formula above becomes:
Note that EstimatedRTT is a weighted average of the SampleRTT values. As discussed in a homework problem at the end of this chapter, this weighted average puts more weight on recent samples than on
old samples. This is natural, as the more recent samples better reflect the current congestion in the network. In statistics, such an average is called an exponential weighted moving average (EWMA).
The word “exponential” appears in EWMA because the weight of a given SampleRTT decays exponentially fast as the updates proceed. In the homework problems you will be asked to derive the
exponential term in EstimatedRTT.
Figure 3.32 shows the SampleRTT values and EstimatedRTT for a value of α = 1/8 for a TCP connection between gaia.cs.umass.edu (in Amherst, Massachusetts) to fantasia.eurecom.fr (in the south of France). Clearly, the variations in the SampleRTT are smoothed out in the computation of the EstimatedRTT.
In addition to having an estimate of the RTT, it is also valuable to have a measure of the variability of the RTT. [RFC 6298] defines the RTT variation, DevRTT, as an estimate of how much SampleRTT typically deviates from EstimatedRTT:
Note that DevRTT is an EWMA of the difference between SampleRTT and EstimatedRTT. If the SampleRTT values have little fluctuation, then DevRTT will be small; on the other hand, if there is a lot
of fluctuation, DevRTT will be large. The recommended value of β is 0.25.
EstimatedRTT=(1−α)⋅EstimatedRTT+α⋅SampleRTT
EstimatedRTT=0.875⋅EstimatedRTT+0.125⋅SampleRTT
DevRTT=(1−β)⋅DevRTT+β⋅|SampleRTT−EstimatedRTT|
Setting and Managing the Retransmission Timeout Interval
Given values of EstimatedRTT and DevRTT, what value should be used for TCP’s timeout interval? Clearly, the interval should be greater than or equal to
PRINCIPLES IN PRACTICE
TCP provides reliable data transfer by using positive acknowledgments and timers in much the
same way that we studied in Section 3.4. TCP acknowledges data that has been received correctly, and it then retransmits segments when segments or their corresponding
acknowledgments are thought to be lost or corrupted. Certain versions of TCP also have an implicit NAK mechanism—with TCP’s fast retransmit mechanism, the receipt of three duplicate ACKs for a given segment serves as an implicit NAK for the following segment, triggering retransmission of that segment before timeout. TCP uses sequences of numbers to allow the receiver to identify lost or duplicate segments. Just as in the case of our reliable data transfer
protocol, rdt3.0, TCP cannot itself tell for certain if a segment, or its ACK, is lost, corrupted, or overly delayed. At the sender, TCP’s response will be the same: retransmit the segment in question.
TCP also uses pipelining, allowing the sender to have multiple transmitted but yet-to-be- acknowledged segments outstanding at any given time. We saw earlier that pipelining can greatly improve a session’s throughput when the ratio of the segment size to round-trip delay is small. The specific number of outstanding, unacknowledged segments that a sender can have is determined by TCP’s flow-control and congestion-control mechanisms. TCP flow control is
discussed at the end of this section; TCP congestion control is discussed in Section 3.7. For the time being, we must simply be aware that the TCP sender uses pipelining.
EstimatedRTT, or unnecessary retransmissions would be sent. But the timeout interval should not be too much larger than EstimatedRTT; otherwise, when a segment is lost, TCP would not quickly
retransmit the segment, leading to large data transfer delays. It is therefore desirable to set the timeout equal to the EstimatedRTT plus some margin. The margin should be large when there is a lot of fluctuation in the SampleRTT values; it should be small when there is little fluctuation. The value of
DevRTT should thus come into play here. All of these considerations are taken into account in TCP’s method for determining the retransmission timeout interval:
An initial TimeoutInterval value of 1 second is recommended [RFC 6298]. Also, when a timeout occurs, the value of TimeoutInterval is doubled to avoid a premature timeout occurring for a
TimeoutInterval=EstimatedRTT+4⋅DevRTT
subsequent segment that will soon be acknowledged. However, as soon as a segment is received and EstimatedRTT is updated, the TimeoutInterval is again computed using the formula above.
Figure 3.32 RTT samples and RTT estimates
3.5.4 Reliable Data Transfer
Recall that the Internet’s network-layer service (IP service) is unreliable. IP does not guarantee datagram delivery, does not guarantee in-order delivery of datagrams, and does not guarantee the integrity of the data in the datagrams. With IP service, datagrams can overflow router buffers and never reach their destination, datagrams can arrive out of order, and bits in the datagram can get corrupted (flipped from 0 to 1 and vice versa). Because transport-layer segments are carried across the network by IP datagrams, transport-layer segments can suffer from these problems as well.
TCP creates a reliable data transfer service on top of IP’s unreliable best-effort service. TCP’s reliable data transfer service ensures that the data stream that a process reads out of its TCP receive buffer is uncorrupted, without gaps, without duplication, and in sequence; that is, the byte stream is exactly the same byte stream that was sent by the end system on the other side of the connection. How TCP
provides a reliable data transfer involves many of the principles that we studied in Section 3.4.
In our earlier development of reliable data transfer techniques, it was conceptually easiest to assume
that an individual timer is associated with each transmitted but not yet acknowledged segment. While this is great in theory, timer management can require considerable overhead. Thus, the recommended
TCP timer management procedures [RFC 6298] use only a single retransmission timer, even if there are multiple transmitted but not yet acknowledged segments. The TCP protocol described in this section
follows this single-timer recommendation.
We will discuss how TCP provides reliable data transfer in two incremental steps. We first present a highly simplified description of a TCP sender that uses only timeouts to recover from lost segments; we then present a more complete description that uses duplicate acknowledgments in addition to timeouts. In the ensuing discussion, we suppose that data is being sent in only one direction, from Host A to Host B, and that Host A is sending a large file.
Figure 3.33 presents a highly simplified description of a TCP sender. We see that there are three major events related to data transmission and retransmission in the TCP sender: data received from
application above; timer timeout; and ACK
Figure 3.33 Simplified TCP sender
receipt. Upon the occurrence of the first major event, TCP receives data from the application, encapsulates the data in a segment, and passes the segment to IP. Note that each segment includes a sequence number that is the byte-stream number of the first data byte in the segment, as described in
Section 3.5.2. Also note that if the timer is already not running for some other segment, TCP starts the timer when the segment is passed to IP. (It is helpful to think of the timer as being associated with the
oldest unacknowledged segment.) The expiration interval for this timer is the TimeoutInterval, which is calculated from EstimatedRTT and DevRTT, as described in Section 3.5.3.
The second major event is the timeout. TCP responds to the timeout event by retransmitting the segment that caused the timeout. TCP then restarts the timer.
The third major event that must be handled by the TCP sender is the arrival of an acknowledgment segment (ACK) from the receiver (more specifically, a segment containing a valid ACK field value). On
the occurrence of this event, TCP compares the ACK value y with its variable SendBase. The TCP state variable SendBase is the sequence number of the oldest unacknowledged byte. (Thus
SendBase–1 is the sequence number of the last byte that is known to have been received correctly and in order at the receiver.) As indicated earlier, TCP uses cumulative acknowledgments, so that y
acknowledges the receipt of all bytes before byte number y. If y > SendBase, then the ACK is acknowledging one or more previously unacknowledged segments. Thus the sender updates its
SendBase variable; it also restarts the timer if there currently are any not-yet-acknowledged segments.
A Few Interesting Scenarios
We have just described a highly simplified version of how TCP provides reliable data transfer. But even this highly simplified version has many subtleties. To get a good feeling for how this protocol works, let’s
now walk through a few simple scenarios. Figure 3.34 depicts the first scenario, in which Host A sends one segment to Host B. Suppose that this segment has sequence number 92 and contains 8 bytes of
data. After sending this segment, Host A waits for a segment from B with acknowledgment number 100. Although the segment from A is received at B, the acknowledgment from B to A gets lost. In this case, the timeout event occurs, and Host A retransmits the same segment. Of course, when Host B receives the retransmission, it observes from the sequence number that the segment contains data that has already been received. Thus, TCP in Host B will discard the bytes in the retransmitted segment.
In a second scenario, shown in Figure 3.35, Host A sends two segments back to back. The first segment has sequence number 92 and 8 bytes of data, and the second segment has sequence number
100 and 20 bytes of data. Suppose that both segments arrive intact at B, and B sends two separate acknowledgments for each of these segments. The first of these acknowledgments has acknowledgment number 100; the second has acknowledgment number 120. Suppose now that neither of the acknowledgments arrives at Host A before the timeout. When the timeout event occurs, Host
Figure 3.34 Retransmission due to a lost acknowledgment
A resends the first segment with sequence number 92 and restarts the timer. As long as the ACK for the second segment arrives before the new timeout, the second segment will not be retransmitted.
In a third and final scenario, suppose Host A sends the two segments, exactly as in the second example. The acknowledgment of the first segment is lost in the network, but just before the timeout event, Host A receives an acknowledgment with acknowledgment number 120. Host A therefore knows
that Host B has received everything up through byte 119; so Host A does not resend either of the two segments. This scenario is illustrated in Figure 3.36.
Doubling the Timeout Interval
We now discuss a few modifications that most TCP implementations employ. The first concerns the length of the timeout interval after a timer expiration. In this modification, whenever the timeout event occurs, TCP retransmits the not-yet-acknowledged segment with the smallest sequence number, as described above. But each time TCP retransmits, it sets the next timeout interval to twice the previous value,
Figure 3.35 Segment 100 not retransmitted
rather than deriving it from the last EstimatedRTT and DevRTT (as described in Section 3.5.3). For
example, suppose TimeoutInterval associated with the oldest not yet acknowledged segment is .75 sec when the timer first expires. TCP will then retransmit this segment and set the new expiration time to 1.5 sec. If the timer expires again 1.5 sec later, TCP will again retransmit this segment, now setting the expiration time to 3.0 sec. Thus the intervals grow exponentially after each retransmission. However, whenever the timer is started after either of the two other events (that is, data received from
application above, and ACK received), the TimeoutInterval is derived from the most recent values of EstimatedRTT and DevRTT.
This modification provides a limited form of congestion control. (More comprehensive forms of TCP
congestion control will be studied in Section 3.7.) The timer expiration is most likely caused by congestion in the network, that is, too many packets arriving at one (or more) router queues in the path
between the source and destination, causing packets to be dropped and/or long queuing delays. In times of congestion, if the sources continue to retransmit packets persistently, the congestion
Figure 3.36 A cumulative acknowledgment avoids retransmission of the first segment
may get worse. Instead, TCP acts more politely, with each sender retransmitting after longer and longer intervals. We will see that a similar idea is used by Ethernet when we study CSMA/CD in Chapter 6.
Fast Retransmit
One of the problems with timeout-triggered retransmissions is that the timeout period can be relatively long. When a segment is lost, this long timeout period forces the sender to delay resending the lost packet, thereby increasing the end-to-end delay. Fortunately, the sender can often detect packet loss well before the timeout event occurs by noting so-called duplicate ACKs. A duplicate ACK is an ACK that reacknowledges a segment for which the sender has already received an earlier acknowledgment. To understand the sender’s response to a duplicate ACK, we must look at why the receiver sends a
duplicate ACK in the first place. Table 3.2 summarizes the TCP receiver’s ACK generation policy [RFC 5681]. When a TCP receiver receives
Table 3.2 TCP ACK Generation Recommendation [RFC 5681]
Event
TCP Receiver Action
Arrival of in-order segment with expected sequence number. All data up to expected sequence number already acknowledged.
Delayed ACK. Wait up to 500 msec for arrival of another in-order segment. If next in-order segment does not arrive in this interval, send an ACK.
Arrival of in-order segment with expected sequence number. One other in-order segment waiting for ACK transmission.
One Immediately send single cumulative ACK, ACKing both in-order segments.
Arrival of out-of-order segment with higher- than-expected sequence number. Gap detected.
Immediately send duplicate ACK, indicating sequence number of next expected byte (which is the lower end of the gap).
Arrival of segment that partially or completely fills in gap in received data.
Immediately send ACK, provided that segment starts at the lower end of gap.
a segment with a sequence number that is larger than the next, expected, in-order sequence number, it detects a gap in the data stream—that is, a missing segment. This gap could be the result of lost or reordered segments within the network. Since TCP does not use negative acknowledgments, the receiver cannot send an explicit negative acknowledgment back to the sender. Instead, it simply reacknowledges (that is, generates a duplicate ACK for) the last in-order byte of data it has received.
(Note that Table 3.2 allows for the case that the receiver does not discard out-of-order segments.)
Because a sender often sends a large number of segments back to back, if one segment is lost, there will likely be many back-to-back duplicate ACKs. If the TCP sender receives three duplicate ACKs for the same data, it takes this as an indication that the segment following the segment that has been ACKed three times has been lost. (In the homework problems, we consider the question of why the sender waits for three duplicate ACKs, rather than just a single duplicate ACK.) In the case that three
duplicate ACKs are received, the TCP sender performs a fast retransmit [RFC 5681], retransmitting the missing segment before that segment’s timer expires. This is shown in Figure 3.37, where the
second segment is lost, then retransmitted before its timer expires. For TCP with fast retransmit, the following code snippet replaces the ACK received event in Figure 3.33:
event: ACK received, with ACK field value of y
if (y > SendBase) {
SendBase=y
if (there are currently any not yet
acknowledged segments)
start timer
Figure 3.37 Fast retransmit: retransmitting the missing segment before the segment’s timer expires
}
else {/* a duplicate ACK for already ACKed
segment */
increment number of duplicate ACKs
received for y
if (number of duplicate ACKS received
for y==3)
/* TCP fast retransmit */
resend segment with sequence number y
}
break;
We noted earlier that many subtle issues arise when a timeout/retransmit mechanism is implemented in an actual protocol such as TCP. The procedures above, which have evolved as a result of more than 20 years of experience with TCP timers, should convince you that this is indeed the case!
Go-Back-N or Selective Repeat?
Let us close our study of TCP’s error-recovery mechanism by considering the following question: Is TCP a GBN or an SR protocol? Recall that TCP acknowledgments are cumulative and correctly received but
out-of-order segments are not individually ACKed by the receiver. Consequently, as shown in Figure 3.33 (see also Figure 3.19), the TCP sender need only maintain the smallest sequence number of a transmitted but unacknowledged byte (SendBase) and the sequence number of the next byte to be sent (NextSeqNum). In this sense, TCP looks a lot like a GBN-style protocol. But there are some striking differences between TCP and Go-Back-N. Many TCP implementations will buffer correctly
received but out-of-order segments [Stevens 1994]. Consider also what happens when the sender sends a sequence of segments 1, 2, . . ., N, and all of the segments arrive in order without error at the
receiver. Further suppose that the acknowledgment for packet n
c. S/R>RTT.
Programming Assignments
Implementing a Reliable Transport Protocol
In this laboratory programming assignment, you will be writing the sending and receiving transport-level code for implementing a simple reliable data transfer protocol. There are two versions of this lab, the alternating-bit-protocol version and the GBN version. This lab should be fun—your implementation will differ very little from what would be required in a real-world situation.
Since you probably don’t have standalone machines (with an OS that you can modify), your code will have to execute in a simulated hardware/software environment. However, the programming interface provided to your routines—the code that would call your entities from above and from below—is very close to what is done in an actual UNIX environment. (Indeed, the software interfaces described in this programming assignment are much more realistic than the infinite loop senders and receivers that many texts describe.) Stopping and starting timers are also simulated, and timer interrupts will cause your timer handling routine to be activated.
The full lab assignment, as well as code you will need to compile with your own code, are available at this book’s Web site: www.pearsonhighered.com/cs-resources.
Wireshark Lab: Exploring TCP
In this lab, you’ll use your Web browser to access a file from a Web server. As in earlier Wireshark labs,
you’ll use Wireshark to capture the packets arriving at your computer. Unlike earlier labs, you’ll also be able to download a Wireshark-readable packet trace from the Web server from which you downloaded
the file. In this server trace, you’ll find the packets that were generated by your own access of the Web server. You’ll analyze the client- and server-side traces to explore aspects of TCP. In particular, you’ll evaluate the performance of the TCP connection between your computer and the Web server. You’ll trace TCP’s window behavior, and infer packet loss, retransmission, flow control and congestion control behavior, and estimated roundtrip time.
As is the case with all Wireshark labs, the full description of this lab is available at this book’s Web site, www.pearsonhighered.com/cs-resources.
Wireshark Lab: Exploring UDP
In this short lab, you’ll do a packet capture and analysis of your favorite application that uses UDP (for
example, DNS or a multimedia application such as Skype). As we learned in Section 3.3, UDP is a simple, no-frills transport protocol. In this lab, you’ll investigate the header fields in the UDP segment as
well as the checksum calculation.
As is the case with all Wireshark labs, the full description of this lab is available at this book’s Web site,
www.pearsonhighered.com/cs-resources. AN INTERVIEW WITH…
Van Jacobson
Van Jacobson works at Google and was previously a Research Fellow at PARC. Prior to that, he was co-founder and Chief Scientist of Packet Design. Before that, he was Chief Scientist at Cisco. Before joining Cisco, he was head of the Network Research Group at Lawrence Berkeley National Laboratory and taught at UC Berkeley and Stanford. Van received the ACM SIGCOMM Award in 2001 for outstanding lifetime contribution to the field of communication networks and the IEEE Kobayashi Award in 2002 for “contributing to the understanding of network congestion and developing congestion control mechanisms that enabled the successful scaling of the Internet”. He was elected to the U.S. National Academy of Engineering in 2004.
Please describe one or two of the most exciting projects you have worked on during your career. What were the biggest challenges?
School teaches us lots of ways to find answers. In every interesting problem I’ve worked on, the challenge has been finding the right question. When Mike Karels and I started looking at TCP congestion, we spent months staring at protocol and packet traces asking “Why is it failing?”. One day in Mike’s office, one of us said “The reason I can’t figure out why it fails is because I don’t understand how it ever worked to begin with.” That turned out to be the right question and it forced us to figure out the “ack clocking” that makes TCP work. After that, the rest was easy.
More generally, where do you see the future of networking and the Internet?
For most people, the Web is the Internet. Networking geeks smile politely since we know the Web is an application running over the Internet but what if they’re right? The Internet is about enabling conversations between pairs of hosts. The Web is about distributed information production and consumption. “Information propagation” is a very general view of communication of which “pairwise conversation” is a tiny subset. We need to move into the larger tent. Networking today deals with broadcast media (radios, PONs, etc.) by pretending it’s a point-to- point wire. That’s massively inefficient. Terabits-per-second of data are being exchanged all over the World via thumb drives or smart phones but we don’t know how to treat that as “networking”. ISPs are busily setting up caches and CDNs to scalably distribute video and audio. Caching is a necessary part of the solution but there’s no part of today’s networking—from Information, Queuing or Traffic Theory down to the Internet protocol specs—that tells us how to engineer and deploy it. I think and hope that over the next few years, networking will evolve to embrace the much larger vision of communication that underlies the Web.
What people inspired you professionally?
When I was in grad school, Richard Feynman visited and gave a colloquium. He talked about a piece of Quantum theory that I’d been struggling with all semester and his explanation was so simple and lucid that what had been incomprehensible gibberish to me became obvious and inevitable. That ability to see and convey the simplicity that underlies our complex world seems to me a rare and wonderful gift.
What are your recommendations for students who want careers in computer science and networking?
It’s a wonderful field—computers and networking have probably had more impact on society than any invention since the book. Networking is fundamentally about connecting stuff, and studying it helps you make intellectual connections: Ant foraging & Bee dances demonstrate protocol design better than RFCs, traffic jams or people leaving a packed stadium are the essence of congestion, and students finding flights back to school in a post-Thanksgiving blizzard are the core of dynamic routing. If you’re interested in lots of stuff and want to have an impact, it’s hard to imagine a better field.
Chapter 4 The Network Layer: Data Plane
We learned in the previous chapter that the transport layer provides various forms of process-to-process communication by relying on the network layer’s host-to-host communication service. We also learned that the transport layer does so without any knowledge about how the network layer actually implements this service. So perhaps you’re now wondering, what’s under the hood of the host-to-host communication service, what makes it tick?
In this chapter and the next, we’ll learn exactly how the network layer can provide its host-to-host communication service. We’ll see that unlike the transport and application layers, there is a piece of the
network layer in each and every host and router in the network. Because of this, network-layer protocols are among the most challenging (and therefore among the most interesting!) in the protocol stack.
Since the network layer is arguably the most complex layer in the protocol stack, we’ll have a lot of ground to cover here. Indeed, there is so much to cover that we cover the network layer in two chapters.
We’ll see that the network layer can be decomposed into two interacting parts, the data plane and the control plane. In Chapter 4, we’ll first cover the data plane functions of the network layer—the per-
router functions in the network layer that determine how a datagram (that is, a network-layer packet) arriving on one of a router’s input links is forwarded to one of that router’s output links. We’ll cover both
traditional IP forwarding (where forwarding is based on a datagram’s destination address) and generalized forwarding (where forwarding and other functions may be performed using values in several different fields in the datagram’s header). We’ll study the IPv4 and IPv6 protocols and addressing in
detail. In Chapter 5, we’ll cover the control plane functions of the network layer—the network-wide logic that controls how a datagram is routed among routers along an end-to-end path from the source host to
the destination host. We’ll cover routing algorithms, as well as routing protocols, such as OSPF and BGP, that are in widespread use in today’s Internet. Traditionally, these control-plane routing protocols and data-plane forwarding functions have been implemented together, monolithically, within a router. Software-defined networking (SDN) explicitly separates the data plane and control plane by implementing these control plane functions as a separate service, typically in a remote “controller.” We’ll
also cover SDN controllers in Chapter 5.
This distinction between data-plane and control-plane functions in the network layer is an important concept to keep in mind as you learn about the network layer —it will help structure your thinking about
the network layer and reflects a modern view of the network layer’s role in computer networking.
4.1 Overview of Network Layer
Figure 4.1 shows a simple network with two hosts, H1 and H2, and several routers on the path between H1 and H2. Let’s suppose that H1 is sending information to H2, and consider the role of the network
layer in these hosts and in the intervening routers. The network layer in H1 takes segments from the transport layer in H1, encapsulates each segment into a datagram, and then sends the datagrams to its nearby router, R1. At the receiving host, H2, the network layer receives the datagrams from its nearby router R2, extracts the transport-layer segments, and delivers the segments up to the transport layer at H2. The primary data-plane role of each router is to forward datagrams from its input links to its output links; the primary role of the network control plane is to coordinate these local, per-router forwarding actions so that datagrams are ultimately transferred end-to-end, along paths of routers between source
and destination hosts. Note that the routers in Figure 4.1 are shown with a truncated protocol stack, that is, with no upper layers above the network layer, because routers do not run application- and transport-
layer protocols such as those we examined in Chapters 2 and 3. 4.1.1 Forwarding and Routing: The Data and Control Planes
The primary role of the network layer is deceptively simple—to move packets from a sending host to a receiving host. To do so, two important network-layer functions can be identified:
Forwarding. When a packet arrives at a router’s input link, the router must move the packet to the appropriate output link. For example, a packet arriving from Host H1 to Router R1 in Figure 4.1 must
be forwarded to the next router on a path to H2. As we will see, forwarding is but one function (albeit the most
Figure 4.1 The network layer
common and important one!) implemented in the data plane. In the more general case, which we’ll
cover in Section 4.4, a packet might also be blocked from exiting a router (e.g., if the packet originated at a known malicious sending host, or if the packet were destined to a forbidden
destination host), or might be duplicated and sent over multiple outgoing links.
Routing. The network layer must determine the route or path taken by packets as they flow from a
sender to a receiver. The algorithms that calculate these paths are referred to as routing algorithms. A routing algorithm would determine, for example, the path along which packets flow
from H1 to H2 in Figure 4.1. Routing is implemented in the control plane of the network layer. The terms forwarding and routing are often used interchangeably by authors discussing the network
layer. We’ll use these terms much more precisely in this book. Forwarding refers to the router-local action of transferring a packet from an input link interface to the appropriate output link interface. Forwarding takes place at very short timescales (typically a few nanoseconds), and thus is typically implemented in hardware. Routing refers to the network-wide process that determines the end-to-end paths that packets take from source to destination. Routing takes place on much longer timescales (typically seconds), and as we will see is often implemented in software. Using our driving analogy,
consider the trip from Pennsylvania to Florida undertaken by our traveler back in Section 1.3.1. During this trip, our driver passes through many interchanges en route to Florida. We can think of forwarding as
the process of getting through a single interchange: A car enters the interchange from one road and determines which road it should take to leave the interchange. We can think of routing as the process of planning the trip from Pennsylvania to Florida: Before embarking on the trip, the driver has consulted a map and chosen one of many paths possible, with each path consisting of a series of road segments connected at interchanges.
A key element in every network router is its forwarding table. A router forwards a packet by examining the value of one or more fields in the arriving packet’s header, and then using these header values to index into its forwarding table. The value stored in the forwarding table entry for those values indicates
the outgoing link interface at that router to which that packet is to be forwarded. For example, in Figure 4.2, a packet with header field value of 0110 arrives to a router. The router indexes into its forwarding table and determines that the output link interface for this packet is interface 2. The router then internally
forwards the packet to interface 2. In Section 4.2, we’ll look inside a router and examine the forwarding function in much greater detail. Forwarding is the key function performed by the data-plane functionality
of the network layer.
Control Plane: The Traditional Approach
But now you are undoubtedly wondering how a router’s forwarding tables are configured in the first place. This is a crucial issue, one that exposes the important interplay between forwarding (in data plane) and routing (in control plane). As shown
Figure 4.2 Routing algorithms determine values in forward tables
in Figure 4.2, the routing algorithm determines the contents of the routers’ forwarding tables. In this example, a routing algorithm runs in each and every router and both forwarding and routing functions
are contained within a router. As we’ll see in Sections 5.3 and 5.4, the routing algorithm function in one router communicates with the routing algorithm function in other routers to compute the values for its
forwarding table. How is this communication performed? By exchanging routing messages containing routing information according to a routing protocol! We’ll cover routing algorithms and protocols in
Sections 5.2 through 5.4.
The distinct and different purposes of the forwarding and routing functions can be further illustrated by considering the hypothetical (and unrealistic, but technically feasible) case of a network in which all forwarding tables are configured directly by human network operators physically present at the routers.
In this case, no routing protocols would be required! Of course, the human operators would need to interact with each other to ensure that the forwarding tables were configured in such a way that packets
reached their intended destinations. It’s also likely that human configuration would be more error-prone and much slower to respond to changes in the network topology than a routing protocol. We’re thus
fortunate that all networks have both a forwarding and a routing function! Control Plane: The SDN Approach
The approach to implementing routing functionality shown in Figure 4.2—with each router having a routing component that communicates with the routing component of other routers—has been the
traditional approach adopted by routing vendors in their products, at least until recently. Our observation that humans could manually configure forwarding tables does suggest, however, that there may be other ways for control-plane functionality to determine the contents of the data-plane forwarding tables.
Figure 4.3 shows an alternate approach in which a physically separate (from the routers), remote controller computes and distributes the forwarding tables to be used by each and every router. Note that
the data plane components of Figures 4.2 and 4.3 are identical. In Figure 4.3, however, control-plane routing functionality is separated
Figure 4.3 A remote controller determines and distributes values in forwarding tables
from the physical router—the routing device performs forwarding only, while the remote controller computes and distributes forwarding tables. The remote controller might be implemented in a remote data center with high reliability and redundancy, and might be managed by the ISP or some third party. How might the routers and the remote controller communicate? By exchanging messages containing
forwarding tables and other pieces of routing information. The control-plane approach shown in Figure 4.3 is at the heart of software-defined networking (SDN), where the network is “software-defined”
because the controller that computes forwarding tables and interacts with routers is implemented in software. Increasingly, these software implementations are also open, i.e., similar to Linux OS code, the
code is publically available, allowing ISPs (and networking researchers and students!) to innovate and propose changes to the software that controls network-layer functionality. We will cover the SDN control
plane in Section 5.5.
4.1.2 Network Service Model
Before delving into the network layer’s data plane, let’s wrap up our introduction by taking the broader view and consider the different types of service that might be offered by the network layer. When the transport layer at a sending host transmits a packet into the network (that is, passes it down to the network layer at the sending host), can the transport layer rely on the network layer to deliver the packet to the destination? When multiple packets are sent, will they be delivered to the transport layer in the receiving host in the order in which they were sent? Will the amount of time between the sending of two sequential packet transmissions be the same as the amount of time between their reception? Will the network provide any feedback about congestion in the network? The answers to these questions and others are determined by the service model provided by the network layer. The network service model defines the characteristics of end-to-end delivery of packets between sending and receiving hosts.
Let’s now consider some possible services that the network layer could provide. These services could include:
Guaranteed delivery. This service guarantees that a packet sent by a source host will eventually arrive at the destination host.
Guaranteed delivery with bounded delay. This service not only guarantees delivery of the packet, but delivery within a specified host-to-host delay bound (for example, within 100 msec).
In-order packet delivery. This service guarantees that packets arrive at the destination in the order that they were sent.
Guaranteed minimal bandwidth. This network-layer service emulates the behavior of a transmission link of a specified bit rate (for example, 1 Mbps) between sending and receiving hosts.
As long as the sending host transmits bits (as part of packets) at a rate below the specified bit rate, then all packets are eventually delivered to the destination host.
Security. The network layer could encrypt all datagrams at the source and decrypt them at the destination, thereby providing confidentiality to all transport-layer segments.
This is only a partial list of services that a network layer could provide—there are countless variations possible.
The Internet’s network layer provides a single service, known as best-effort service. With best-effort service, packets are neither guaranteed to be received in the order in which they were sent, nor is their eventual delivery even guaranteed. There is no guarantee on the end-to-end delay nor is there a
minimal bandwidth guarantee. It might appear that best-effort service is a euphemism for no service at all—a network that delivered no packets to the destination would satisfy the definition of best-effort
delivery service! Other network architectures have defined and implemented service models that go beyond the Internet’s best-effort service. For example, the ATM network architecture [MFA Forum
2016, Black 1995] provides for guaranteed in-order delay, bounded delay, and guaranteed minimal bandwidth. There have also been proposed service model extensions to the Internet architecture; for
example, the Intserv architecture [RFC 1633] aims to provide end-end delay guarantees and congestion-free communication. Interestingly, in spite of these well-developed alternatives, the Internet’s
basic best-effort service model combined with adequate bandwidth provisioning have arguably proven to be more than “good enough” to enable an amazing range of applications, including streaming video services such as Netflix and voice-and-video-over-IP, real-time conferencing applications such as Skype and Facetime.
An Overview of Chapter 4
Having now provided an overview of the network layer, we’ll cover the data-plane component of the
network layer in the following sections in this chapter. In Section 4.2, we’ll dive down into the internal hardware operations of a router, including input and output packet processing, the router’s internal
switching mechanism, and packet queueing and scheduling. In Section 4.3, we’ll take a look at traditional IP forwarding, in which packets are forwarded to output ports based on their destination IP
addresses. We’ll encounter IP addressing, the celebrated IPv4 and IPv6 protocols and more. In Section 4.4, we’ll cover more generalized forwarding, where packets may be forwarded to output ports based on
a large number of header values (i.e., not only based on destination IP address). Packets may be blocked or duplicated at the router, or may have certain header field values rewritten—all under software control. This more generalized form of packet forwarding is a key component of a modern network data plane, including the data plane in software-defined networks (SDN).
We mention here in passing that the terms forwarding and switching are often used interchangeably by computer-networking researchers and practitioners; we’ll use both terms interchangeably in this
textbook as well. While we’re on the topic of terminology, it’s also worth mentioning two other terms that
are often used interchangeably, but that we will use more carefully. We’ll reserve the term packet switch to mean a general packet-switching device that transfers a packet from input link interface to output link
interface, according to values in a packet’s header fields. Some packet switches, called link-layer switches (examined in Chapter 6), base their forwarding decision on values in the fields of the link-
layer frame; switches are thus referred to as link-layer (layer 2) devices. Other packet switches, called routers, base their forwarding decision on header field values in the network-layer datagram. Routers are thus network-layer (layer 3) devices. (To fully appreciate this important distinction, you might want to
review Section 1.5.2, where we discuss network-layer datagrams and link-layer frames and their relationship.) Since our focus in this chapter is on the network layer, we’ll mostly use the term router in place of packet switch.
4.2 What’s Inside a Router?
Now that we’ve overviewed the data and control planes within the network layer, the important distinction between forwarding and routing, and the services and functions of the network layer, let’s turn our attention to its forwarding function—the actual transfer of packets from a router’s incoming links to the appropriate outgoing links at that router.
A high-level view of a generic router architecture is shown in Figure 4.4. Four router components can be identified:
Figure 4.4 Router architecture
Input ports. An input port performs several key functions. It performs the physical layer function of terminating an incoming physical link at a router; this is shown in the leftmost box of an input port
and the rightmost box of an output port in Figure 4.4. An input port also performs link-layer functions needed to interoperate with the link layer at the other side of the incoming link; this is represented by
the middle boxes in the input and output ports. Perhaps most crucially, a lookup function is also performed at the input port; this will occur in the rightmost box of the input port. It is here that the forwarding table is consulted to determine the router output port to which an arriving packet will be forwarded via the switching fabric. Control packets (for example, packets carrying routing protocol information) are forwarded from an input port to the routing processor. Note that the term “port” here —referring to the physical input and output router interfaces—is distinctly different from the software
ports associated with network applications and sockets discussed in Chapters 2 and 3. In practice, the number of ports supported by a router can range from a relatively small number in enterprise
routers, to hundreds of 10 Gbps ports in a router at an ISP’s edge, where the number of incoming lines tends to be the greatest. The Juniper MX2020, edge router, for example, supports up to 960 10
Gbps Ethernet ports, with an overall router system capacity of 80 Tbps [Juniper MX 2020 2016]. Switching fabric. The switching fabric connects the router’s input ports to its output ports. This
switching fabric is completely contained within the router—a network inside of a network router!
Output ports. An output port stores packets received from the switching fabric and transmits these packets on the outgoing link by performing the necessary link-layer and physical-layer functions.
When a link is bidirectional (that is, carries traffic in both directions), an output port will typically be paired with the input port for that link on the same line card.
Routing processor. The routing processor performs control-plane functions. In traditional routers, it executes the routing protocols (which we’ll study in Sections 5.3 and 5.4), maintains routing tables
and attached link state information, and computes the forwarding table for the router. In SDN routers, the routing processor is responsible for communicating with the remote controller in order to (among other activities) receive forwarding table entries computed by the remote controller, and install these entries in the router’s input ports. The routing processor also performs the network
management functions that we’ll study in Section 5.7.
A router’s input ports, output ports, and switching fabric are almost always implemented in hardware, as
shown in Figure 4.4. To appreciate why a hardware implementation is needed, consider that with a 10 Gbps input link and a 64-byte IP datagram, the input port has only 51.2 ns to process the datagram
before another datagram may arrive. If N ports are combined on a line card (as is often done in practice), the datagram-processing pipeline must operate N times faster—far too fast for software
implementation. Forwarding hardware can be implemented either using a router vendor’s own hardware designs, or constructed using purchased merchant-silicon chips (e.g., as sold by companies such as Intel and Broadcom).
While the data plane operates at the nanosecond time scale, a router’s control functions—executing the routing protocols, responding to attached links that go up or down, communicating with the remote controller (in the SDN case) and performing management functions—operate at the millisecond or second timescale. These control plane functions are thus usually implemented in software and execute on the routing processor (typically a traditional CPU).
Before delving into the details of router internals, let’s return to our analogy from the beginning of this chapter, where packet forwarding was compared to cars entering and leaving an interchange. Let’s suppose that the interchange is a roundabout, and that as a car enters the roundabout, a bit of processing is required. Let’s consider what information is required for this processing:
Destination-based forwarding. Suppose the car stops at an entry station and indicates its final
destination (not at the local roundabout, but the ultimate destination of its journey). An attendant at the entry station looks up the final destination, determines the roundabout exit that leads to that final destination, and tells the driver which roundabout exit to take.
Generalized forwarding. The attendant could also determine the car’s exit ramp on the basis of many other factors besides the destination. For example, the selected exit ramp might depend on
the car’s origin, for example the state that issued the car’s license plate. Cars from a certain set of states might be directed to use one exit ramp (that leads to the destination via a slow road), while cars from other states might be directed to use a different exit ramp (that leads to the destination via superhighway). The same decision might be made based on the model, make and year of the car. Or a car not deemed roadworthy might be blocked and not be allowed to pass through the roundabout. In the case of generalized forwarding, any number of factors may contribute to the attendant’s choice of the exit ramp for a given car.
Once the car enters the roundabout (which may be filled with other cars entering from other input roads and heading to other roundabout exits), it eventually leaves at the prescribed roundabout exit ramp, where it may encounter other cars leaving the roundabout at that exit.
We can easily recognize the principal router components in Figure 4.4 in this analogy—the entry road and entry station correspond to the input port (with a lookup function to determine to local outgoing port);
the roundabout corresponds to the switch fabric; and the roundabout exit road corresponds to the output port. With this analogy, it’s instructive to consider where bottlenecks might occur. What happens if cars arrive blazingly fast (for example, the roundabout is in Germany or Italy!) but the station attendant is slow? How fast must the attendant work to ensure there’s no backup on an entry road? Even with a blazingly fast attendant, what happens if cars traverse the roundabout slowly—can backups still occur? And what happens if most of the cars entering at all of the roundabout’s entrance ramps all want to leave the roundabout at the same exit ramp—can backups occur at the exit ramp or elsewhere? How should the roundabout operate if we want to assign priorities to different cars, or block certain cars from entering the roundabout in the first place? These are all analogous to critical questions faced by router and switch designers.
In the following subsections, we’ll look at router functions in more detail. [Iyer 2008, Chao 2001; Chuang 2005; Turner 1988; McKeown 1997a; Partridge 1998; Sopranos 2011] provide a discussion
of specific router architectures. For concreteness and simplicity, we’ll initially assume in this section that forwarding decisions are based only on the packet’s destination address, rather than on a generalized
set of packet header fields. We will cover the case of more generalized packet forwarding in Section 4.4.
4.2.1 Input Port Processing and Destination-Based Forwarding
A more detailed view of input processing is shown in Figure 4.5. As just discussed, the input port’s line- termination function and link-layer processing implement the physical and link layers for that individual
input link. The lookup performed in the input port is central to the router’s operation—it is here that the router uses the forwarding table to look up the output port to which an arriving packet will be forwarded via the switching fabric. The forwarding table is either computed and updated by the routing processor (using a routing protocol to interact with the routing processors in other network routers) or is received from a remote SDN controller. The forwarding table is copied from the routing processor to the line cards over a separate bus (e.g., a PCI bus) indicated by the dashed line from the routing processor to
the input line cards in Figure 4.4. With such a shadow copy at each line card, forwarding decisions can be made locally, at each input port, without invoking the centralized routing processor on a per-packet
basis and thus avoiding a centralized processing bottleneck.
Let’s now consider the “simplest” case that the output port to which an incoming packet is to be switched is based on the packet’s destination address. In the case of 32-bit IP addresses, a brute-force implementation of the forwarding table would have one entry for every possible destination address. Since there are more than 4 billion possible addresses, this option is totally out of the question.
Figure 4.5 Input port processing
As an example of how this issue of scale can be handled, let’s suppose that our router has four links, numbered 0 through 3, and that packets are to be forwarded to the link interfaces as follows:
Destination Address Range
Link Interface
11001000 00010111 00010000 00000000
through
11001000 00010111 00010111 11111111
0
11001000 00010111 00011000 00000000
1
Clearly, for this example, it is not necessary to have 4 billion entries in the router’s forwarding table. We could, for example, have the following forwarding table with just four entries:
Prefix
Link Interface
11001000 00010111 00010
0
11001000 00010111 00011000
1
11001000 00010111 00011
2
Otherwise
3
With this style of forwarding table, the router matches a prefix of the packet’s destination address with the entries in the table; if there’s a match, the router forwards the packet to a link associated with the
match. For example, suppose the packet’s destination address is 11001000 00010111 00010110
10100001; because the 21-bit prefix of this address matches the first entry in the table, the router forwards the packet to link interface 0. If a prefix doesn’t match any of the first three entries, then the router forwards the packet to the default interface 3. Although this sounds simple enough, there’s a very important subtlety here. You may have noticed that it is possible for a destination address to match
more than one entry. For example, the first 24 bits of the address 11001000 00010111 00011000
10101010 match the second entry in the table, and the first 21 bits of the address match the third entry in the table. When there are multiple matches, the router uses the longest prefix matching rule; that is, it finds the longest matching entry in the table and forwards the packet to the link interface associated
with the longest prefix match. We’ll see exactly why this longest prefix-matching rule is used when we study Internet addressing in more detail in Section 4.3.
through
11001000 00010111 00011000 11111111
11001000 00010111 00011001 00000000
through
11001000 00010111 00011111 11111111
2
Otherwise
3
Given the existence of a forwarding table, lookup is conceptually simple—hardware logic just searches through the forwarding table looking for the longest prefix match. But at Gigabit transmission rates, this lookup must be performed in nanoseconds (recall our earlier example of a 10 Gbps link and a 64-byte IP datagram). Thus, not only must lookup be performed in hardware, but techniques beyond a simple linear
search through a large table are needed; surveys of fast lookup algorithms can be found in [Gupta 2001, Ruiz-Sanchez 2001]. Special attention must also be paid to memory access times, resulting in
designs with embedded on-chip DRAM and faster SRAM (used as a DRAM cache) memories. In
practice, Ternary Content Addressable Memories (TCAMs) are also often used for lookup [Yu 2004]. With a TCAM, a 32-bit IP address is presented to the memory, which returns the content of the
forwarding table entry for that address in essentially constant time. The Cisco Catalyst 6500 and 7600 Series routers and switches can hold upwards of a million TCAM forwarding table entries [Cisco TCAM
2014].
Once a packet’s output port has been determined via the lookup, the packet can be sent into the switching fabric. In some designs, a packet may be temporarily blocked from entering the switching fabric if packets from other input ports are currently using the fabric. A blocked packet will be queued at the input port and then scheduled to cross the fabric at a later point in time. We’ll take a closer look at the blocking, queuing, and scheduling of packets (at both input ports and output ports) shortly. Although “lookup” is arguably the most important action in input port processing, many other actions must be taken: (1) physical- and link-layer processing must occur, as discussed previously; (2) the packet’s
version number, checksum and time-to-live field—all of which we’ll study in Section 4.3—must be checked and the latter two fields rewritten; and (3) counters used for network management (such as the
number of IP datagrams received) must be updated.
Let’s close our discussion of input port processing by noting that the input port steps of looking up a destination IP address (“match”) and then sending the packet into the switching fabric to the specified output port (“action”) is a specific case of a more general “match plus action” abstraction that is
performed in many networked devices, not just routers. In link-layer switches (covered in Chapter 6), link-layer destination addresses are looked up and several actions may be taken in addition to sending
the frame into the switching fabric towards the output port. In firewalls (covered in Chapter 8)—devices that filter out selected incoming packets—an incoming packet whose header matches a given criteria
(e.g., a combination of source/destination IP addresses and transport-layer port numbers) may be
dropped (action). In a network address translator (NAT, covered in Section 4.3), an incoming packet whose transport-layer port number matches a given value will have its port number rewritten before
forwarding (action). Indeed, the “match plus action” abstraction is both powerful and prevalent in network devices today, and is central to the notion of generalized forwarding that we’ll study in Section
4.4.
4.2.2 Switching
The switching fabric is at the very heart of a router, as it is through this fabric that the packets are actually switched (that is, forwarded) from an input port to an output port. Switching can be
accomplished in a number of ways, as shown in Figure 4.6:
Switching via memory. The simplest, earliest routers were traditional computers, with switching
between input and output ports being done under direct control of the CPU (routing processor). Input and output ports functioned as traditional I/O devices in a traditional operating system. An input port with an arriving packet first signaled the routing processor via an interrupt. The packet was then copied from the input port into processor memory. The routing processor then extracted the destination address from the header, looked up the appropriate output port in the forwarding table, and copied the packet to the output port’s buffers. In this scenario, if the memory bandwidth is such
that a maximum of B packets per second can be written into, or read from, memory, then the overall forwarding throughput (the total rate at which packets are transferred from input ports to output
ports) must be less than B/2. Note also that two packets cannot be forwarded
Figure 4.6 Three switching techniques
at the same time, even if they have different destination ports, since only one memory read/write can be done at a time over the shared system bus.
Some modern routers switch via memory. A major difference from early routers, however, is that the lookup of the destination address and the storing of the packet into the appropriate memory location are performed by processing on the input line cards. In some ways, routers that switch via memory look very much like shared-memory multiprocessors, with the processing on a line card switching (writing) packets into the memory of the appropriate output port. Cisco’s Catalyst 8500 series
switches [Cisco 8500 2016] internally switches packets via a shared memory.
Switching via a bus. In this approach, an input port transfers a packet directly to the output port
over a shared bus, without intervention by the routing processor. This is typically done by having the input port pre-pend a switch-internal label (header) to the packet indicating the local output port to which this packet is being transferred and transmitting the packet onto the bus. All output ports receive the packet, but only the port that matches the label will keep the packet. The label is then removed at the output port, as this label is only used within the switch to cross the bus. If multiple packets arrive to the router at the same time, each at a different input port, all but one must wait since only one packet can cross the bus at a time. Because every packet must cross the single bus, the switching speed of the router is limited to the bus speed; in our roundabout analogy, this is as if the roundabout could only contain one car at a time. Nonetheless, switching via a bus is often sufficient for routers that operate in small local area and enterprise networks. The Cisco 6500 router
[Cisco 6500 2016] internally switches packets over a 32-Gbps-backplane bus.
Switching via an interconnection network. One way to overcome the bandwidth limitation of a
single, shared bus is to use a more sophisticated interconnection network, such as those that have been used in the past to interconnect processors in a multiprocessor computer architecture. A
crossbar switch is an interconnection network consisting of 2N buses that connect N input ports to N
output ports, as shown in Figure 4.6. Each vertical bus intersects each horizontal bus at a crosspoint, which can be opened or closed at any time by the switch fabric controller (whose logic is
part of the switching fabric itself). When a packet arrives from port A and needs to be forwarded to port Y, the switch controller closes the crosspoint at the intersection of busses A and Y, and port A then sends the packet onto its bus, which is picked up (only) by bus Y. Note that a packet from port B can be forwarded to port X at the same time, since the A-to-Y and B-to-X packets use different input and output busses. Thus, unlike the previous two switching approaches, crossbar switches are capable of forwarding multiple packets in parallel. A crossbar switch is non-blocking—a packet being forwarded to an output port will not be blocked from reaching that output port as long as no other packet is currently being forwarded to that output port. However, if two packets from two different input ports are destined to that same output port, then one will have to wait at the input,
since only one packet can be sent over any given bus at a time. Cisco 12000 series switches [Cisco 12000 2016] use a crossbar switching network; the Cisco 7600 series can be configured to use either a bus or crossbar switch [Cisco 7600 2016].
More sophisticated interconnection networks use multiple stages of switching elements to allow packets from different input ports to proceed towards the same output port at the same time through
the multi-stage switching fabric. See [Tobagi 1990] for a survey of switch architectures. The Cisco CRS employs a three-stage non-blocking switching strategy. A router’s switching capacity can also
be scaled by running multiple switching fabrics in parallel. In this approach, input ports and output
ports are connected to N switching fabrics that operate in parallel. An input port breaks a packet into K smaller chunks, and sends (“sprays”) the chunks through K of these N switching fabrics to the selected output port, which reassembles the K chunks back into the original packet.
4.2.3 Output Port Processing
Output port processing, shown in Figure 4.7, takes packets that have been stored in the output port’s memory and transmits them over the output link. This includes selecting and de-queueing packets for
transmission, and performing the needed link-layer and physical-layer transmission functions.
4.2.4 Where Does Queuing Occur?
If we consider input and output port functionality and the configurations shown in Figure 4.6, it’s clear that packet queues may form at both the input ports and the output ports, just as we identified cases
where cars may wait at the inputs and outputs of the traffic intersection in our roundabout analogy. The location and extent of queueing (either at the input port queues or the output port queues) will depend on the traffic load, the relative speed of the switching fabric, and the line speed. Let’s now consider these queues in a bit more detail, since as these queues grow large, the router’s memory can eventually be exhausted and packet loss will occur when no memory is available to store arriving packets. Recall that in our earlier discussions, we said that packets were “lost within the network” or “dropped at a
router.” It is here, at these queues within a router, where such packets are actually dropped and lost.
Figure 4.7 Output port processing
Suppose that the input and output line speeds (transmission rates) all have an identical transmission
rate of Rline packets per second, and that there are N input ports and N output ports. To further simplify the discussion, let’s assume that all packets have the same fixed length, and that packets arrive to input ports in a synchronous manner. That is, the time to send a packet on any link is equal to the time to receive a packet on any link, and during such an interval of time, either zero or one packets can arrive
on an input link. Define the switching fabric transfer rate Rswitch as the rate at which packets can be moved from input port to output port. If Rswitch is N times faster than Rline, then only negligible queuing will
occur at the input ports. This is because even in the worst case, where all N input lines are receiving packets, and all packets are to be forwarded to the same output port, each batch of N packets (one
packet per input port) can be cleared through the switch fabric before the next batch arrives.
Input Queueing
But what happens if the switch fabric is not fast enough (relative to the input line speeds) to transfer all arriving packets through the fabric without delay? In this case, packet queuing can also occur at the
input ports, as packets must join input port queues to wait their turn to be transferred through the switching fabric to the output port. To illustrate an important consequence of this queuing, consider a crossbar switching fabric and suppose that (1) all link speeds are identical, (2) that one packet can be transferred from any one input port to a given output port in the same amount of time it takes for a packet to be received on an input link, and (3) packets are moved from a given input queue to their desired output queue in an FCFS manner. Multiple packets can be transferred in parallel, as long as their output ports are different. However, if two packets at the front of two input queues are destined for the same output queue, then one of the packets will be blocked and must wait at the input queue—the switching fabric can transfer only one packet to a given output port at a time.
Figure 4.8 shows an example in which two packets (darkly shaded) at the front of their input queues are destined for the same upper-right output port. Suppose that the switch fabric chooses to transfer the
packet from the front of the upper-left queue. In this case, the darkly shaded packet in the lower-left queue must wait. But not only must this darkly shaded packet wait, so too must the lightly shaded
packet that is queued behind that packet in the lower-left queue, even though there is no contention for the middle-right output port (the destination for the lightly shaded packet). This phenomenon is known
as head-of-the-line (HOL) blocking in an input-queued switch—a queued packet in an input queue must wait for transfer through the fabric (even though its output port is free) because it is blocked by
another packet at the head of the line. [Karol 1987] shows that due to HOL blocking, the input queue will grow to unbounded length (informally, this is equivalent to saying that significant packet loss will
occur) under certain assumptions as soon as the packet arrival rate on the input links reaches only 58 percent of their capacity. A number of solutions to HOL blocking are discussed in [McKeown 1997].
Figure 4.8 HOL blocking at and input-queued switch
Output Queueing
Let’s next consider whether queueing can occur at a switch’s output ports. Suppose that Rswitch is again N times faster than Rline and that packets arriving at each of the N input ports are destined to the same
output port. In this case, in the time it takes to send a single packet onto the outgoing link, N new packets will arrive at this output port (one from each of the N input ports). Since the output port can
transmit only a single packet in a unit of time (the packet transmission time), the N arriving packets will
have to queue (wait) for transmission over the outgoing link. Then N more packets can possibly arrive in
the time it takes to transmit just one of the N packets that had just previously been queued. And so on.
Thus, packet queues can form at the output ports even when the switching fabric is N times faster than the port line speeds. Eventually, the number of queued packets can grow large enough to exhaust
available memory at the output port.
Figure 4.9 Output port queueing
When there is not enough memory to buffer an incoming packet, a decision must be made to either drop the arriving packet (a policy known as drop-tail) or remove one or more already-queued packets to make room for the newly arrived packet. In some cases, it may be advantageous to drop (or mark the
header of) a packet before the buffer is full in order to provide a congestion signal to the sender. A number of proactive packet-dropping and -marking policies (which collectively have become known as
active queue management (AQM) algorithms) have been proposed and analyzed [Labrador 1999, Hollot 2002]. One of the most widely studied and implemented AQM algorithms is the Random Early Detection (RED) algorithm [Christiansen 2001; Floyd 2016].
Output port queuing is illustrated in Figure 4.9. At time t, a packet has arrived at each of the incoming input ports, each destined for the uppermost outgoing port. Assuming identical line speeds and a switch
operating at three times the line speed, one time unit later (that is, in the time needed to receive or send
a packet), all three original packets have been transferred to the outgoing port and are queued awaiting transmission. In the next time unit, one of these three packets will have been transmitted over the
outgoing link. In our example, two new packets have arrived at the incoming side of the switch; one of these packets is destined for this uppermost output port. A consequence of such queuing is that a
packet scheduler at the output port must choose one packet, among those queued, for transmission— a topic we’ll cover in the following section.
Given that router buffers are needed to absorb the fluctuations in traffic load, a natural question to ask is
how much buffering is required. For many years, the rule of thumb [RFC 3439] for buffer sizing was that
the amount of buffering (B) should be equal to an average round-trip time (RTT, say 250 msec) times
the link capacity (C). This result is based on an analysis of the queueing dynamics of a relatively small
number of TCP flows [Villamizar 1994]. Thus, a 10 Gbps link with an RTT of 250 msec would need an
amount of buffering equal to B 5 RTT · C 5 2.5 Gbits of buffers. More recent theoretical and
experimental efforts [Appenzeller 2004], however, suggest that when there are a large number of TCP
flows (N) passing through a link, the amount of buffering needed is B=RTI⋅C/N. With a large number of
flows typically passing through large backbone router links (see, e.g., [Fraleigh 2003]), the value of N
can be large, with the decrease in needed buffer size becoming quite significant. [Appenzeller 2004;
Wischik 2005; Beheshti 2008] provide very readable discussions of the buffer-sizing problem from a theoretical, implementation, and operational standpoint.
4.2.5 Packet Scheduling
Let’s now return to the question of determining the order in which queued packets are transmitted over an outgoing link. Since you yourself have undoubtedly had to wait in long lines on many occasions and observed how waiting customers are served, you’re no doubt familiar with many of the queueing disciplines commonly used in routers. There is first-come-first-served (FCFS, also known as first-in-first- out, FIFO). The British are famous for patient and orderly FCFS queueing at bus stops and in the marketplace (“Oh, are you queueing?”). Other countries operate on a priority basis, with one class of waiting customers given priority service over other waiting customers. There is also round-robin queueing, where customers are again divided into classes (as in priority queueing) but each class of customer is given service in turn.
First-in-First-Out (FIFO)
Figure 4.10 shows the queuing model abstraction for the FIFO link-scheduling discipline. Packets arriving at the link output queue wait for transmission if the link is currently busy transmitting another
packet. If there is not sufficient buffering space to hold the arriving packet, the queue’s packet- discarding policy then determines whether the packet will be dropped (lost) or whether other packets will be removed from the queue to make space for the arriving packet, as discussed above. In our
discussion below, we’ll ignore packet discard. When a packet is completely transmitted over the outgoing link (that is, receives service) it is removed from the queue.
The FIFO (also known as first-come-first-served, or FCFS) scheduling discipline selects packets for link transmission in the same order in which they arrived at the output link queue. We’re all familiar with FIFO queuing from service centers, where
Figure 4.10 FIFO queueing abstraction
arriving customers join the back of the single waiting line, remain in order, and are then served when
they reach the front of the line. Figure 4.11 shows the FIFO queue in operation. Packet arrivals are indicated by numbered arrows above the upper timeline, with the number indicating the order in which
the packet arrived. Individual packet departures are shown below the lower timeline. The time that a packet spends in service (being transmitted) is indicated by the shaded rectangle between the two timelines. In our examples here, let’s assume that each packet takes three units of time to be transmitted. Under the FIFO discipline, packets leave in the same order in which they arrived. Note that after the departure of packet 4, the link remains idle (since packets 1 through 4 have been transmitted and removed from the queue) until the arrival of packet 5.
Priority Queuing
Under priority queuing, packets arriving at the output link are classified into priority classes upon arrival
at the queue, as shown in Figure 4.12. In practice, a network operator may configure a queue so that packets carrying network management information (e.g., as indicated by the source or destination
TCP/UDP port number) receive priority over user traffic; additionally, real-time voice-over-IP packets might receive priority over non-real traffic such as SMTP or IMAP e-mail packets. Each
Figure 4.11 The FIFO queue in operation
Figure 4.12 The priority queueing model
priority class typically has its own queue. When choosing a packet to transmit, the priority queuing discipline will transmit a packet from the highest priority class that has a nonempty queue (that is, has packets waiting for transmission). The choice among packets in the same priority class is typically done in a FIFO manner.
Figure 4.13 illustrates the operation of a priority queue with two priority classes. Packets 1, 3, and 4 belong to the high-priority class, and packets 2 and 5 belong to the low-priority class. Packet 1 arrives
and, finding the link idle, begins transmission. During the transmission of packet 1, packets 2 and 3 arrive and are queued in the low- and high-priority queues, respectively. After the transmission of packet 1, packet 3 (a high-priority packet) is selected for transmission over packet 2 (which, even though it arrived earlier, is a low-priority packet). At the end of the transmission of packet 3, packet 2 then begins transmission. Packet 4 (a high-priority packet) arrives during the transmission of packet 2 (a low-priority packet). Under a non-preemptive priority queuing discipline, the transmission of a packet is not interrupted once it has
Figure 4.13 The priority queue in operation
Figure 4.14 The two-class robin queue in operation
begun. In this case, packet 4 queues for transmission and begins being transmitted after the transmission of packet 2 is completed.
Round Robin and Weighted Fair Queuing (WFQ)
Under the round robin queuing discipline, packets are sorted into classes as with priority queuing. However, rather than there being a strict service priority among classes, a round robin scheduler alternates service among the classes. In the simplest form of round robin scheduling, a class 1 packet is transmitted, followed by a class 2 packet, followed by a class 1 packet, followed by a class 2 packet, and so on. A so-called work-conserving queuing discipline will never allow the link to remain idle whenever there are packets (of any class) queued for transmission. A work-conserving round robin discipline that looks for a packet of a given class but finds none will immediately check the next class in the round robin sequence.
Figure 4.14 illustrates the operation of a two-class round robin queue. In this example, packets 1, 2, and
4 belong to class 1, and packets 3 and 5 belong to the second class. Packet 1 begins transmission immediately upon arrival at the output queue. Packets 2 and 3 arrive during the transmission of packet 1 and thus queue for transmission. After the transmission of packet 1, the link scheduler looks for a class 2 packet and thus transmits packet 3. After the transmission of packet 3, the scheduler looks for a class 1 packet and thus transmits packet 2. After the transmission of packet 2, packet 4 is the only queued packet; it is thus transmitted immediately after packet 2.
A generalized form of round robin queuing that has been widely implemented in routers is the so-called weighted fair queuing (WFQ) discipline [Demers 1990; Parekh 1993; Cisco QoS 2016]. WFQ is
illustrated in Figure 4.15. Here, arriving packets are classified and queued in the appropriate per-class waiting area. As in round robin scheduling, a WFQ scheduler will serve classes in a circular manner—
first serving class 1, then serving class 2, then serving class 3, and then (assuming there are three classes) repeating the service pattern. WFQ is also a work-conserving
Figure 4.15 Weighted fair queueing
queuing discipline and thus will immediately move on to the next class in the service sequence when it finds an empty class queue.
WFQ differs from round robin in that each class may receive a differential amount of service in any interval of time. Specifically, each class, i, is assigned a weight, wi. Under WFQ, during any interval of
time during which there are class i packets to send, class i will then be guaranteed to receive a fraction of service equal to wi/(∑wj), where the sum in the denominator is taken over all classes that also have
packets queued for transmission. In the worst case, even if all classes have queued packets, class i will still be guaranteed to receive a fraction wi/(∑wj) of the bandwidth, where in this worst case the sum in
the denominator is over all classes. Thus, for a link with transmission rate R, class i will always achieve a throughput of at least R⋅wi/(∑wj). Our description of WFQ has been idealized, as we have not
considered the fact that packets are discrete and a packet’s transmission will not be interrupted to begin transmission of another packet; [Demers 1990; Parekh 1993] discuss this packetization issue.
4.3 The Internet Protocol (IP): IPv4, Addressing, IPv6, and More
Our study of the network layer thus far in Chapter 4—the notion of the data and control plane component of the network layer, our distinction between forwarding and routing, the identification of
various network service models, and our look inside a router—have often been without reference to any specific computer network architecture or protocol. In this section we’ll focus on key aspects of the network layer on today’s Internet and the celebrated Internet Protocol (IP).
There are two versions of IP in use today. We’ll first examine the widely deployed IP protocol version 4, which is usually referred to simply as IPv4 [RFC 791]
Figure 4.16 IPv4 datagram format
in Section 4.3.1. We’ll examine IP version 6 [RFC 2460; RFC 4291], which has been proposed to replace IPv4, in Section 4.3.5. In between, we’ll primarily cover Internet addressing—a topic that might
seem rather dry and detail-oriented but we’ll see is crucial to understanding how the Internet’s network layer works. To master IP addressing is to master the Internet’s network layer itself!
4.3.1 IPv4 Datagram Format
Recall that the Internet’s network-layer packet is referred to as a datagram. We begin our study of IP with an overview of the syntax and semantics of the IPv4 datagram. You might be thinking that nothing
could be drier than the syntax and semantics of a packet’s bits. Nevertheless, the datagram plays a central role in the Internet—every networking student and professional needs to see it, absorb it, and
master it. (And just to see that protocol headers can indeed be fun to study, check out [Pomeranz 2010]). The IPv4 datagram format is shown in Figure 4.16. The key fields in the IPv4 datagram are the
following:
Version number. These 4 bits specify the IP protocol version of the datagram. By looking at the version number, the router can determine how to interpret the remainder of the IP datagram.
Different versions of IP use different datagram formats. The datagram format for IPv4 is shown in Figure 4.16. The datagram format for the new version of IP (IPv6) is discussed in Section 4.3.5.
Header length. Because an IPv4 datagram can contain a variable number of options (which are included in the IPv4 datagram header), these 4 bits are needed to determine where in the IP
datagram the payload (e.g., the transport-layer segment being encapsulated in this datagram) actually begins. Most IP datagrams do not contain options, so the typical IP datagram has a 20-byte header.
Type of service. The type of service (TOS) bits were included in the IPv4 header to allow different types of IP datagrams to be distinguished from each other. For example, it might be useful to
distinguish real-time datagrams (such as those used by an IP telephony application) from non-real- time traffic (for example, FTP). The specific level of service to be provided is a policy issue
determined and configured by the network administrator for that router. We also learned in Section 3.7.2 that two of the TOS bits are used for Explicit Congestion Notification.
Datagram length. This is the total length of the IP datagram (header plus data), measured in bytes. Since this field is 16 bits long, the theoretical maximum size of the IP datagram is 65,535 bytes.
However, datagrams are rarely larger than 1,500 bytes, which allows an IP datagram to fit in the payload field of a maximally sized Ethernet frame.
Identifier, flags, fragmentation offset. These three fields have to do with so-called IP fragmentation, a topic we will consider shortly. Interestingly, the new version of IP, IPv6, does not
allow for fragmentation.
Time-to-live. The time-to-live (TTL) field is included to ensure that datagrams do not circulate forever (due to, for example, a long-lived routing loop) in the network. This field is decremented by
one each time the datagram is processed by a router. If the TTL field reaches 0, a router must drop that datagram.
Protocol. This field is typically used only when an IP datagram reaches its final destination. The value of this field indicates the specific transport-layer protocol to which the data portion of this IP
datagram should be passed. For example, a value of 6 indicates that the data portion is passed to TCP, while a value of 17 indicates that the data is passed to UDP. For a list of all possible values,
see [IANA Protocol Numbers 2016]. Note that the protocol number in the IP datagram has a role that is analogous to the role of the port number field in the transport-layer segment. The protocol
number is the glue that binds the network and transport layers together, whereas the port number is
the glue that binds the transport and application layers together. We’ll see in Chapter 6 that the link- layer frame also has a special field that binds the link layer to the network layer.
Header checksum. The header checksum aids a router in detecting bit errors in a received IP datagram. The header checksum is computed by treating each 2 bytes in the header as a number
and summing these numbers using 1s complement arithmetic. As discussed in Section 3.3, the 1s complement of this sum, known as the Internet checksum, is stored in the checksum field. A router
computes the header checksum for each received IP datagram and detects an error condition if the checksum carried in the datagram header does not equal the computed checksum. Routers typically discard datagrams for which an error has been detected. Note that the checksum must be recomputed and stored again at each router, since the TTL field, and possibly the options field as well, will change. An interesting discussion of fast algorithms for computing the Internet checksum is
[RFC 1071]. A question often asked at this point is, why does TCP/IP perform error checking at both the transport and network layers? There are several reasons for this repetition. First, note that only
the IP header is checksummed at the IP layer, while the TCP/UDP checksum is computed over the entire TCP/UDP segment. Second, TCP/UDP and IP do not necessarily both have to belong to the same protocol stack. TCP can, in principle, run over a different network-layer protocol (for example,
ATM) [Black 1995]) and IP can carry data that will not be passed to TCP/UDP.
Source and destination IP addresses. When a source creates a datagram, it inserts its IP address
into the source IP address field and inserts the address of the ultimate destination into the destination IP address field. Often the source host determines the destination address via a DNS
lookup, as discussed in Chapter 2. We’ll discuss IP addressing in detail in Section 4.3.3. Options. The options fields allow an IP header to be extended. Header options were meant to be
used rarely—hence the decision to save overhead by not including the information in options fields in every datagram header. However, the mere existence of options does complicate matters—since datagram headers can be of variable length, one cannot determine a priori where the data field will start. Also, since some datagrams may require options processing and others may not, the amount of time needed to process an IP datagram at a router can vary greatly. These considerations become particularly important for IP processing in high-performance routers and hosts. For these
reasons and others, IP options were not included in the IPv6 header, as discussed in Section 4.3.5. Data (payload). Finally, we come to the last and most important field—the raison d’etre for the
datagram in the first place! In most circumstances, the data field of the IP datagram contains the transport-layer segment (TCP or UDP) to be delivered to the destination. However, the data field can
carry other types of data, such as ICMP messages (discussed in Section 5.6).
Note that an IP datagram has a total of 20 bytes of header (assuming no options). If the datagram carries a TCP segment, then each (non-fragmented) datagram carries a total of 40 bytes of header (20 bytes of IP header plus 20 bytes of TCP header) along with the application-layer message.
4.3.2 IPv4 Datagram Fragmentation
We’ll see in Chapter 6 that not all link-layer protocols can carry network-layer packets of the same size. Some protocols can carry big datagrams, whereas other protocols can carry only little datagrams. For
example, Ethernet frames can carry up to 1,500 bytes of data, whereas frames for some wide-area links can carry no more than 576 bytes. The maximum amount of data that a link-layer frame can carry is called the maximum transmission unit (MTU). Because each IP datagram is encapsulated within the link-layer frame for transport from one router to the next router, the MTU of the link-layer protocol places a hard limit on the length of an IP datagram. Having a hard limit on the size of an IP datagram is not much of a problem. What is a problem is that each of the links along the route between sender and destination can use different link-layer protocols, and each of these protocols can have different MTUs.
To understand the forwarding issue better, imagine that you are a router that interconnects several links, each running different link-layer protocols with different MTUs. Suppose you receive an IP datagram
from one link. You check your forwarding table to determine the outgoing link, and this outgoing link has an MTU that is smaller than the length of the IP datagram. Time to panic—how are you going to squeeze this oversized IP datagram into the payload field of the link-layer frame? The solution is to fragment the payload in the IP datagram into two or more smaller IP datagrams, encapsulate each of these smaller IP datagrams in a separate link-layer frame; and send these frames over the outgoing link. Each of these smaller datagrams is referred to as a fragment.
Fragments need to be reassembled before they reach the transport layer at the destination. Indeed, both TCP and UDP are expecting to receive complete, unfragmented segments from the network layer. The designers of IPv4 felt that reassembling datagrams in the routers would introduce significant complication into the protocol and put a damper on router performance. (If you were a router, would you want to be reassembling fragments on top of everything else you had to do?) Sticking to the principle of keeping the network core simple, the designers of IPv4 decided to put the job of datagram reassembly in the end systems rather than in network routers.
When a destination host receives a series of datagrams from the same source, it needs to determine whether any of these datagrams are fragments of some original, larger datagram. If some datagrams are fragments, it must further determine when it has received the last fragment and how the fragments it has received should be pieced back together to form the original datagram. To allow the destination host
to perform these reassembly tasks, the designers of IP (version 4) put identification, flag, and fragmentation offset fields in the IP datagram header. When a datagram is created, the sending host
stamps the datagram with an identification number as well as source and destination addresses. Typically, the sending host increments the identification number for each datagram it sends. When a router needs to fragment a datagram, each resulting datagram (that is, fragment) is stamped with the
source address, destination address, and identification number of the original datagram. When the destination receives a series of datagrams from the same sending host, it can examine the identification numbers of the datagrams to determine which of the datagrams are actually fragments of the same larger datagram. Because IP is an unreliable service, one or more of the fragments may never arrive at the destination. For this reason, in order for the destination host to be absolutely sure it has received the last fragment of
Figure 4.17 IP fragmentation and reassembly
the original datagram, the last fragment has a flag bit set to 0, whereas all the other fragments have this flag bit set to 1. Also, in order for the destination host to determine whether a fragment is missing (and also to be able to reassemble the fragments in their proper order), the offset field is used to specify where the fragment fits within the original IP datagram.
Figure 4.17 illustrates an example. A datagram of 4,000 bytes (20 bytes of IP header plus 3,980 bytes of IP payload) arrives at a router and must be forwarded to a link with an MTU of 1,500 bytes. This
implies that the 3,980 data bytes in the original datagram must be allocated to three separate fragments (each of which is also an IP datagram).
The online material for this book, and the problems at the end of this chapter will allow you to explore fragmentation in more detail. Also, on this book’s Web site, we provide a Java applet that generates fragments. You provide the incoming datagram size, the MTU, and the incoming datagram identification.
The applet automatically generates the fragments for you. See http://www.pearsonhighered.com/cs- resources/.
4.3.3 IPv4 Addressing
We now turn our attention to IPv4 addressing. Although you may be thinking that addressing must be a straightforward topic, hopefully by the end of this section you’ll be convinced that Internet addressing is not only a juicy, subtle, and interesting topic but also one that is of central importance to the Internet. An
excellent treatment of IPv4 addressing can be found in the first chapter in [Stewart 1999].
Before discussing IP addressing, however, we’ll need to say a few words about how hosts and routers are connected into the Internet. A host typically has only a single link into the network; when IP in the host wants to send a datagram, it does so over this link. The boundary between the host and the physical link is called an interface. Now consider a router and its interfaces. Because a router’s job is to receive a datagram on one link and forward the datagram on some other link, a router necessarily has two or more links to which it is connected. The boundary between the router and any one of its links is also called an interface. A router thus has multiple interfaces, one for each of its links. Because every host and router is capable of sending and receiving IP datagrams, IP requires each host and router
interface to have its own IP address. Thus, an IP address is technically associated with an interface, rather than with the host or router containing that interface.
Each IP address is 32 bits long (equivalently, 4 bytes), and there are thus a total of 232 (or approximately 4 billion) possible IP addresses. These addresses are typically written in so-called dotted-decimal notation, in which each byte of the address is written in its decimal form and is separated by a period (dot) from other bytes in the address. For example, consider the IP address 193.32.216.9. The 193 is the decimal equivalent of the first 8 bits of the address; the 32 is the decimal equivalent of the second 8 bits of the address, and so on. Thus, the address 193.32.216.9 in binary notation is
11000001 00100000 11011000 00001001
Each interface on every host and router in the global Internet must have an IP address that is globally
unique (except for interfaces behind NATs, as discussed in Section 4.3.4). These addresses cannot be chosen in a willy-nilly manner, however. A portion of an interface’s IP address will be determined by the
subnet to which it is connected.
Figure 4.18 provides an example of IP addressing and interfaces. In this figure, one router (with three interfaces) is used to interconnect seven hosts. Take a close look at the IP addresses assigned to the
host and router interfaces, as there are several things to notice. The three hosts in the upper-left portion of Figure 4.18, and the router interface to which they are connected, all have an IP address of the form
223.1.1.xxx. That is, they all have the same leftmost 24 bits in their IP address. These four interfaces
are also interconnected to each other by a network that contains no routers. This network could be interconnected by an Ethernet LAN, in which case the interfaces would be interconnected by an
Ethernet switch (as we’ll discuss in Chapter 6), or by a wireless access point (as we’ll discuss in Chapter 7). We’ll represent this routerless network connecting these hosts as a cloud for now, and dive into the internals of such networks in Chapters 6 and 7.
In IP terms, this network interconnecting three host interfaces and one router interface forms a subnet [RFC 950]. (A subnet is also called an IP network or simply
Figure 4.18 Interface addresses and subnets
a network in the Internet literature.) IP addressing assigns an address to this subnet: 223.1.1.0/24, where the /24 (“slash-24”) notation, sometimes known as a subnet mask, indicates that the leftmost 24
bits of the 32-bit quantity define the subnet address. The 223.1.1.0/24 subnet thus consists of the three host interfaces (223.1.1.1, 223.1.1.2, and 223.1.1.3) and one router interface (223.1.1.4). Any additional
hosts attached to the 223.1.1.0/24 subnet would be required to have an address of the form 223.1.1.xxx. There are two additional subnets shown in Figure 4.18: the 223.1.2.0/24 network and the 223.1.3.0/24 subnet. Figure 4.19 illustrates the three IP subnets present in Figure 4.18.
The IP definition of a subnet is not restricted to Ethernet segments that connect multiple hosts to a
router interface. To get some insight here, consider Figure 4.20, which shows three routers that are interconnected with each other by point-to-point links. Each router has three interfaces, one for each
point-to-point link and one for the broadcast link that directly connects the router to a pair of hosts. What
subnets are present here? Three subnets, 223.1.1.0/24, 223.1.2.0/24, and 223.1.3.0/24, are similar to
the subnets we encountered in Figure 4.18. But note that there are three additional subnets in this example as well: one subnet, 223.1.9.0/24, for the interfaces that connect routers R1 and R2; another
subnet, 223.1.8.0/24, for the interfaces that connect routers R2 and R3; and a third subnet, 223.1.7.0/24, for the interfaces that connect routers R3 and R1. For a general interconnected system of routers and hosts, we can use the following recipe to define the subnets in the system:
Figure 4.19 Subnet addresses
To determine the subnets, detach each interface from its host or router, creating islands of isolated networks, with interfaces terminating the end points of the isolated networks. Each of these isolated networks is called a subnet.
If we apply this procedure to the interconnected system in Figure 4.20, we get six islands or subnets.
From the discussion above, it’s clear that an organization (such as a company or academic institution) with multiple Ethernet segments and point-to-point links will have multiple subnets, with all of the devices on a given subnet having the same subnet address. In principle, the different subnets could have quite different subnet addresses. In practice, however, their subnet addresses often have much in common. To understand why, let’s next turn our attention to how addressing is handled in the global Internet.
The Internet’s address assignment strategy is known as Classless Interdomain Routing (CIDR— pronounced cider) [RFC 4632]. CIDR generalizes the notion of subnet addressing. As with subnet
addressing, the 32-bit IP address is divided into two parts and again has the dotted-decimal form a.b.c.d/x, where x indicates the number of bits in the first part of the address.
The x most significant bits of an address of the form a.b.c.d/x constitute the network portion of the IP address, and are often referred to as the prefix (or network prefix) of the address. An organization is
typically assigned a block of contiguous addresses, that is, a range of addresses with a common prefix
(see the Principles in Practice feature). In this case, the IP addresses of devices within the organization will share the common prefix. When we cover the Internet’s BGP routing protocol in
Figure 4.20 Three routers interconnecting six subnets
Section 5.4, we’ll see that only these x leading prefix bits are considered by routers outside the organization’s network. That is, when a router outside the organization forwards a datagram whose
destination address is inside the organization, only the leading x bits of the address need be considered. This considerably reduces the size of the forwarding table in these routers, since a single entry of the form a.b.c.d/x will be sufficient to forward packets to any destination within the organization.
The remaining 32-x bits of an address can be thought of as distinguishing among the devices within the organization, all of which have the same network prefix. These are the bits that will be considered when
forwarding packets at routers within the organization. These lower-order bits may (or may not) have an
additional subnetting structure, such as that discussed above. For example, suppose the first 21 bits of the CIDRized address a.b.c.d/21 specify the organization’s network prefix and are common to the IP addresses of all devices in that organization. The remaining 11 bits then identify the specific hosts in the organization. The organization’s internal structure might be such that these 11 rightmost bits are used for subnetting within the organization, as discussed above. For example, a.b.c.d/24 might refer to a specific subnet within the organization.
Before CIDR was adopted, the network portions of an IP address were constrained to be 8, 16, or 24 bits in length, an addressing scheme known as classful addressing, since subnets with 8-, 16-, and 24-bit subnet addresses were known as class A, B, and C networks, respectively. The requirement that the subnet portion of an IP address be exactly 1, 2, or 3 bytes long turned out to be problematic for supporting the rapidly growing number of organizations with small and medium-sized subnets. A class C
(/24) subnet could accommodate only up to 28 − 2 = 254 hosts (two of the 28 = 256 addresses are reserved for special use)—too small for many organizations. However, a class B (/16) subnet, which supports up to 65,634 hosts, was too large. Under classful addressing, an organization with, say, 2,000 hosts was typically allocated a class B (/16) subnet address. This led to a rapid depletion of the class B address space and poor utilization of the assigned address space. For example, the organization that used a class B address for its 2,000 hosts was allocated enough of the address space for up to 65,534 interfaces—leaving more than 63,000 addresses that could not be used by other organizations.
PRINCIPLES IN PRACTICE
This example of an ISP that connects eight organizations to the Internet nicely illustrates how
carefully allocated CIDRized addresses facilitate routing. Suppose, as shown in Figure 4.21, that the ISP (which we’ll call Fly-By-Night-ISP) advertises to the outside world that it should be
sent any datagrams whose first 20 address bits match 200.23.16.0/20. The rest of the world need not know that within the address block 200.23.16.0/20 there are in fact eight other organizations, each with its own subnets. This ability to use a single prefix to advertise multiple networks is often referred to as address aggregation (also route aggregation or route summarization).
Address aggregation works extremely well when addresses are allocated in blocks to ISPs and then from ISPs to client organizations. But what happens when addresses are not allocated in such a hierarchical manner? What would happen, for example, if Fly-By-Night-ISP acquires ISPs-R-Us and then has Organization 1 connect to the Internet through its subsidiary ISPs-R-
Us? As shown in Figure 4.21, the subsidiary ISPs-R-Us owns the address block 199.31.0.0/16, but Organization 1’s IP addresses are unfortunately outside of this address block. What should
be done here? Certainly, Organization 1 could renumber all of its routers and hosts to have addresses within the ISPs-R-Us address block. But this is a costly solution, and Organization 1 might well be reassigned to another subsidiary in the future. The solution typically adopted is for
Organization 1 to keep its IP addresses in 200.23.18.0/23. In this case, as shown in Figure 4.22,
Fly-By-Night-ISP continues to advertise the address block 200.23.16.0/20 and ISPs-R-Us
continues to advertise 199.31.0.0/16. However, ISPs-R-Us now also advertises the block of addresses for Organization 1, 200.23.18.0/23. When other routers in the larger Internet see the
address blocks 200.23.16.0/20 (from Fly-By-Night-ISP) and 200.23.18.0/23 (from ISPs-R-Us) and want to route to an address in the block 200.23.18.0/23, they will use longest prefix
matching (see Section 4.2.1), and route toward ISPs-R-Us, as it advertises the longest (i.e., most-specific) address prefix that matches the destination address.
Figure 4.21 Hierarchical addressing and route aggregation
Figure 4.22 ISPs-R-Us has a more specific route to Organization 1
We would be remiss if we did not mention yet another type of IP address, the IP broadcast address 255.255.255.255. When a host sends a datagram with destination address 255.255.255.255, the message is delivered to all hosts on the same subnet. Routers optionally forward the message into neighboring subnets as well (although they usually don’t).
Having now studied IP addressing in detail, we need to know how hosts and subnets get their addresses in the first place. Let’s begin by looking at how an organization gets a block of addresses for its devices, and then look at how a device (such as a host) is assigned an address from within the organization’s block of addresses.
Obtaining a Block of Addresses
In order to obtain a block of IP addresses for use within an organization’s subnet, a network administrator might first contact its ISP, which would provide addresses from a larger block of addresses that had already been allocated to the ISP. For example, the ISP may itself have been allocated the address block 200.23.16.0/20. The ISP, in turn, could divide its address block into eight equal-sized contiguous address blocks and give one of these address blocks out to each of up to eight organizations that are supported by this ISP, as shown below. (We have underlined the subnet part of these addresses for your convenience.)
ISP’s block: 200.23.16.0/20 11001000 00010111 00010000 00000000
Organization 0 200.23.16.0/23 11001000 00010111 00010000 00000000
Organization 1 200.23.18.0/23 11001000 00010111 00010010 00000000
Organization 2 200.23.20.0/23 11001000 00010111 00010100 00000000 … ……
Organization 7 200.23.30.0/23 11001000 00010111 00011110 00000000
While obtaining a set of addresses from an ISP is one way to get a block of addresses, it is not the only way. Clearly, there must also be a way for the ISP itself to get a block of addresses. Is there a global authority that has ultimate responsibility for managing the IP address space and allocating address blocks to ISPs and other organizations? Indeed there is! IP addresses are managed under the authority
of the Internet Corporation for Assigned Names and Numbers (ICANN) [ICANN 2016], based on guidelines set forth in [RFC 7020]. The role of the nonprofit ICANN organization [NTIA 1998] is not only
to allocate IP addresses, but also to manage the DNS root servers. It also has the very contentious job of assigning domain names and resolving domain name disputes. The ICANN allocates addresses to regional Internet registries (for example, ARIN, RIPE, APNIC, and LACNIC, which together form the
Address Supporting Organization of ICANN [ASO-ICANN 2016]), and handle the allocation/management of addresses within their regions.
Obtaining a Host Address: The Dynamic Host Configuration Protocol
Once an organization has obtained a block of addresses, it can assign individual IP addresses to the host and router interfaces in its organization. A system administrator will typically manually configure the IP addresses into the router (often remotely, with a network management tool). Host addresses can also be configured manually, but typically this is done using the Dynamic Host Configuration Protocol
(DHCP) [RFC 2131]. DHCP allows a host to obtain (be allocated) an IP address automatically. A network administrator can configure DHCP so that a given host receives the same IP address each time
it connects to the network, or a host may be assigned a temporary IP address that will be different each time the host connects to the network. In addition to host IP address assignment, DHCP also allows a host to learn additional information, such as its subnet mask, the address of its first-hop router (often called the default gateway), and the address of its local DNS server.
Because of DHCP’s ability to automate the network-related aspects of connecting a host into a network, it is often referred to as a plug-and-play or zeroconf (zero-configuration) protocol. This capability
makes it very attractive to the network administrator who would otherwise have to perform these tasks manually! DHCP is also enjoying widespread use in residential Internet access networks, enterprise
networks, and in wireless LANs, where hosts join and leave the network frequently. Consider, for example, the student who carries a laptop from a dormitory room to a library to a classroom. It is likely that in each location, the student will be connecting into a new subnet and hence will need a new IP address at each location. DHCP is ideally suited to this situation, as there are many users coming and going, and addresses are needed for only a limited amount of time. The value of DHCP’s plug-and-play capability is clear, since it’s unimaginable that a system administrator would be able to reconfigure laptops at each location, and few students (except those taking a computer networking class!) would have the expertise to configure their laptops manually.
DHCP is a client-server protocol. A client is typically a newly arriving host wanting to obtain network configuration information, including an IP address for itself. In the simplest case, each subnet (in the
addressing sense of Figure 4.20) will have a DHCP server. If no server is present on the subnet, a DHCP relay agent (typically a router) that knows the address of a DHCP server for that network is
needed. Figure 4.23 shows a DHCP server attached to subnet 223.1.2/24, with the router serving as the relay agent for arriving clients attached to subnets 223.1.1/24 and 223.1.3/24. In our discussion
below, we’ll assume that a DHCP server is available on the subnet.
For a newly arriving host, the DHCP protocol is a four-step process, as shown in Figure 4.24 for the network setting shown in Figure 4.23. In this figure, yiaddr (as in “your Internet address”) indicates the address being allocated to the newly arriving client. The four steps are:
Figure 4.23 DHCP client and server
DHCP server discovery. The first task of a newly arriving host is to find a DHCP server with which to interact. This is done using a DHCP discover message, which a client sends within a UDP
packet to port 67. The UDP packet is encapsulated in an IP datagram. But to whom should this datagram be sent? The host doesn’t even know the IP address of the network to which it is attaching, much less the address of a DHCP server for this network. Given this, the DHCP client creates an IP datagram containing its DHCP discover message along with the broadcast destination IP address of 255.255.255.255 and a “this host” source IP address of 0.0.0.0. The DHCP client passes the IP datagram to the link layer, which then broadcasts this frame to all nodes attached to
the subnet (we will cover the details of link-layer broadcasting in Section 6.4).
DHCP server offer(s). A DHCP server receiving a DHCP discover message responds to the client
with a DHCP offer message that is broadcast to all nodes on the subnet, again using the IP broadcast address of 255.255.255.255. (You might want to think about why this server reply must also be broadcast). Since several DHCP servers can be present on the subnet, the client may find itself in the enviable position of being able to choose from among several offers. Each
Figure 4.24 DHCP client-server interaction
server offer message contains the transaction ID of the received discover message, the proposed IP address for the client, the network mask, and an IP address lease time—the amount of time for which the IP address will be valid. It is common for the server to set the lease time to several hours
or days [Droms 2002].
DHCP request. The newly arriving client will choose from among one or more server offers and
respond to its selected offer with a DHCP request message, echoing back the configuration parameters.
DHCP ACK. The server responds to the DHCP request message with a DHCP ACK message, confirming the requested parameters.
Once the client receives the DHCP ACK, the interaction is complete and the client can use the DHCP- allocated IP address for the lease duration. Since a client may want to use its address beyond the
lease’s expiration, DHCP also provides a mechanism that allows a client to renew its lease on an IP address.
From a mobility aspect, DHCP does have one very significant shortcoming. Since a new IP address is obtained from DHCP each time a node connects to a new subnet, a TCP connection to a remote
application cannot be maintained as a mobile node moves between subnets. In Chapter 6, we will examine mobile IP—an extension to the IP infrastructure that allows a mobile node to use a single
permanent address as it moves between subnets. Additional details about DHCP can be found in [Droms 2002] and [dhc 2016]. An open source reference implementation of DHCP is available from the
Internet Systems Consortium [ISC 2016].
4.3.4 Network Address Translation (NAT)
Given our discussion about Internet addresses and the IPv4 datagram format, we’re now well aware that every IP-capable device needs an IP address. With the proliferation of small office, home office (SOHO) subnets, this would seem to imply that whenever a SOHO wants to install a LAN to connect multiple machines, a range of addresses would need to be allocated by the ISP to cover all of the SOHO’s IP devices (including phones, tablets, gaming devices, IP TVs, printers and more). If the subnet grew bigger, a larger block of addresses would have to be allocated. But what if the ISP had already allocated the contiguous portions of the SOHO network’s current address range? And what typical homeowner wants (or should need) to know how to manage IP addresses in the first place? Fortunately, there is a simpler approach to address allocation that has found increasingly widespread use in such scenarios:
network address translation (NAT) [RFC 2663; RFC 3022; Huston 2004, Zhang 2007; Cisco NAT 2016].
Figure 4.25 shows the operation of a NAT-enabled router. The NAT-enabled router, residing in the home, has an interface that is part of the home network on the right of Figure 4.25. Addressing within
the home network is exactly as we have seen above—all four interfaces in the home network have the same subnet address of 10.0.0/24. The address space 10.0.0.0/8 is one of three portions of the IP
address space that is reserved in [RFC 1918] for a private network or a realm with private addresses, such as the home network in Figure 4.25. A realm with private addresses refers to a
network whose addresses only have meaning to devices within that network. To see why this is important, consider the fact that there are hundreds of thousands of home networks, many using the same address space, 10.0.0.0/24. Devices within a given home network can send packets to each other
using 10.0.0.0/24 addressing. However, packets forwarded beyond the home network into the larger global Internet clearly cannot use these addresses (as either a source or a destination address)
because there are hundreds of thousands of networks using this block of addresses. That is, the 10.0.0.0/24 addresses can only have meaning within the
Figure 4.25 Network address translation
given home network. But if private addresses only have meaning within a given network, how is addressing handled when packets are sent to or received from the global Internet, where addresses are necessarily unique? The answer lies in understanding NAT.
The NAT-enabled router does not look like a router to the outside world. Instead the NAT router behaves to the outside world as a single device with a single IP address. In Figure 4.25, all traffic
leaving the home router for the larger Internet has a source IP address of 138.76.29.7, and all traffic entering the home router must have a destination address of 138.76.29.7. In essence, the NAT-enabled router is hiding the details of the home network from the outside world. (As an aside, you might wonder where the home network computers get their addresses and where the router gets its single IP address. Often, the answer is the same—DHCP! The router gets its address from the ISP’s DHCP server, and the router runs a DHCP server to provide addresses to computers within the NAT-DHCP-router- controlled home network’s address space.)
If all datagrams arriving at the NAT router from the WAN have the same destination IP address (specifically, that of the WAN-side interface of the NAT router), then how does the router know the internal host to which it should forward a given datagram? The trick is to use a NAT translation table at the NAT router, and to include port numbers as well as IP addresses in the table entries.
Consider the example in Figure 4.25. Suppose a user sitting in a home network behind host 10.0.0.1 requests a Web page on some Web server (port 80) with IP address 128.119.40.186. The host 10.0.0.1
assigns the (arbitrary) source port number 3345 and sends the datagram into the LAN. The NAT router receives the datagram, generates a new source port number 5001 for the datagram, replaces the
source IP address with its WAN-side IP address 138.76.29.7, and replaces the original source port number 3345 with the new source port number 5001. When generating a new source port number, the NAT router can select any source port number that is not currently in the NAT translation table. (Note that because a port number field is 16 bits long, the NAT protocol can support over 60,000 simultaneous connections with a single WAN-side IP address for the router!) NAT in the router also adds an entry to its NAT translation table. The Web server, blissfully unaware that the arriving datagram containing the HTTP request has been manipulated by the NAT router, responds with a datagram whose destination address is the IP address of the NAT router, and whose destination port number is 5001. When this datagram arrives at the NAT router, the router indexes the NAT translation table using the destination IP address and destination port number to obtain the appropriate IP address (10.0.0.1) and destination port number (3345) for the browser in the home network. The router then rewrites the datagram’s destination address and destination port number, and forwards the datagram into the home network.
NAT has enjoyed widespread deployment in recent years. But NAT is not without detractors. First, one might argue that, port numbers are meant to be used for addressing processes, not for addressing hosts. This violation can indeed cause problems for servers running on the home network, since, as we
have seen in Chapter 2, server processes wait for incoming requests at well-known port numbers and peers in a P2P protocol need to accept incoming connections when acting as servers. Technical
solutions to these problems include NAT traversal tools [RFC 5389] and Universal Plug and Play (UPnP), a protocol that allows a host to discover and configure a nearby NAT [UPnP Forum 2016].
More “philosophical” arguments have also been raised against NAT by architectural purists. Here, the concern is that routers are meant to be layer 3 (i.e., network-layer) devices, and should process packets only up to the network layer. NAT violates this principle that hosts should be talking directly with each other, without interfering nodes modifying IP addresses, much less port numbers. But like it or not, NAT
has not become an important component of the Internet, as have other so-called middleboxes [Sekar 2011] that operate at the network layer but have functions that are quite different from routers.
Middleboxes do not perform traditional datagram forwarding, but instead perform functions such as NAT, load balancing of traffic flows, traffic firewalling (see accompanying sidebar), and more. The
generalized forwarding paradigm that we’ll study shortly in Section 4.4 allows a number of these middlebox functions, as well as traditional router forwarding, to be accomplished in a common,
integrated manner.
FOCUS ON SECURITY
INSPECTING DATAGRAMS: FIREWALLS AND INTRUSION DETECTION SYSTEMS
Suppose you are assigned the task of administering a home, departmental, university, or corporate network. Attackers, knowing the IP address range of your network, can easily send IP datagrams to addresses in your range. These datagrams can do all kinds of devious things, including mapping your network with ping sweeps and port scans, crashing vulnerable hosts with
malformed packets, scanning for open TCP/UDP ports on servers in your network, and infecting hosts by including malware in the packets. As the network administrator, what are you going to do about all those bad guys out there, each capable of sending malicious packets into your network? Two popular defense mechanisms to malicious packet attacks are firewalls and intrusion detection systems (IDSs).
As a network administrator, you may first try installing a firewall between your network and the Internet. (Most access routers today have firewall capability.) Firewalls inspect the datagram and segment header fields, denying suspicious datagrams entry into the internal network. For
example, a firewall may be configured to block all ICMP echo request packets (see Section 5.6), thereby preventing an attacker from doing a traditional port scan across your IP address range.
Firewalls can also block packets based on source and destination IP addresses and port numbers. Additionally, firewalls can be configured to track TCP connections, granting entry only to datagrams that belong to approved connections.
Additional protection can be provided with an IDS. An IDS, typically situated at the network boundary, performs “deep packet inspection,” examining not only header fields but also the payloads in the datagram (including application-layer data). An IDS has a database of packet signatures that are known to be part of attacks. This database is automatically updated as new attacks are discovered. As packets pass through the IDS, the IDS attempts to match header fields and payloads to the signatures in its signature database. If such a match is found, an alert is created. An intrusion prevention system (IPS) is similar to an IDS, except that it actually blocks
packets in addition to creating alerts. In Chapter 8, we’ll explore firewalls and IDSs in more detail.
Can firewalls and IDSs fully shield your network from all attacks? The answer is clearly no, as attackers continually find new attacks for which signatures are not yet available. But firewalls and traditional signature-based IDSs are useful in protecting your network from known attacks.
4.3.5 IPv6
In the early 1990s, the Internet Engineering Task Force began an effort to develop a successor to the IPv4 protocol. A prime motivation for this effort was the realization that the 32-bit IPv4 address space was beginning to be used up, with new subnets and IP nodes being attached to the Internet (and being allocated unique IP addresses) at a breathtaking rate. To respond to this need for a large IP address space, a new IP protocol, IPv6, was developed. The designers of IPv6 also took this opportunity to tweak and augment other aspects of IPv4, based on the accumulated operational experience with IPv4.
The point in time when IPv4 addresses would be completely allocated (and hence no new networks
could attach to the Internet) was the subject of considerable debate. The estimates of the two leaders of the IETF’s Address Lifetime Expectations working group were that addresses would become exhausted
in 2008 and 2018, respectively [Solensky 1996]. In February 2011, IANA allocated out the last remaining pool of unassigned IPv4 addresses to a regional registry. While these registries still have
available IPv4 addresses within their pool, once these addresses are exhausted, there are no more
available address blocks that can be allocated from a central pool [Huston 2011a]. A recent survey of IPv4 address-space exhaustion, and the steps taken to prolong the life of the address space is [Richter 2015].
Although the mid-1990s estimates of IPv4 address depletion suggested that a considerable amount of time might be left until the IPv4 address space was exhausted, it was realized that considerable time would be needed to deploy a new technology on such an extensive scale, and so the process to
develop IP version 6 (IPv6) [RFC 2460] was begun [RFC 1752]. (An often-asked question is what happened to IPv5? It was initially envisioned that the ST-2 protocol would become IPv5, but ST-2 was
later dropped.) An excellent source of information about IPv6 is [Huitema 1998]. IPv6 Datagram Format
The format of the IPv6 datagram is shown in Figure 4.26. The most important changes introduced in IPv6 are evident in the datagram format:
Expanded addressing capabilities. IPv6 increases the size of the IP address from 32 to 128 bits. This ensures that the world won’t run out of IP addresses. Now, every grain of sand on the planet
can be IP-addressable. In addition to unicast and multicast addresses, IPv6 has introduced a new type of address, called an anycast address, that allows a datagram to be delivered to any one of a group of hosts. (This feature could be used, for example, to send an HTTP GET to the nearest of a number of mirror sites that contain a given document.)
A streamlined 40-byte header. As discussed below, a number of IPv4 fields have been dropped or made optional. The resulting 40-byte fixed-length header allows for faster processing of the IP
datagram by a router. A new encoding of options allows for more flexible options processing.
Flow labeling. IPv6 has an elusive definition of a flow. RFC 2460 states that this allows “labeling of packets belonging to particular flows for which the sender
Figure 4.26 IPv6 datagram format
requests special handling, such as a non-default quality of service or real-time service.” For example, audio and video transmission might likely be treated as a flow. On the other hand, the more traditional applications, such as file transfer and e-mail, might not be treated as flows. It is possible that the traffic carried by a high-priority user (for example, someone paying for better service for their traffic) might also be treated as a flow. What is clear, however, is that the designers of IPv6 foresaw the eventual need to be able to differentiate among the flows, even if the exact meaning of a flow had yet to be determined.
As noted above, a comparison of Figure 4.26 with Figure 4.16 reveals the simpler, more streamlined structure of the IPv6 datagram. The following fields are defined in IPv6:
Version. This 4-bit field identifies the IP version number. Not surprisingly, IPv6 carries a value of 6 in this field. Note that putting a 4 in this field does not create a valid IPv4 datagram. (If it did, life would
be a lot simpler—see the discussion below regarding the transition from IPv4 to IPv6.)
Traffic class. The 8-bit traffic class field, like the TOS field in IPv4, can be used to give priority to certain datagrams within a flow, or it can be used to give priority to datagrams from certain
applications (for example, voice-over-IP) over datagrams from other applications (for example, SMTP e-mail).
Flow label. As discussed above, this 20-bit field is used to identify a flow of datagrams.
Payload length. This 16-bit value is treated as an unsigned integer giving the number of bytes in the
IPv6 datagram following the fixed-length, 40-byte datagram header.
Next header. This field identifies the protocol to which the contents (data field) of this datagram will be delivered (for example, to TCP or UDP). The field uses the same values as the protocol field in
the IPv4 header.
Hop limit. The contents of this field are decremented by one by each router that forwards the datagram. If the hop limit count reaches zero, the datagram is discarded.
Source and destination addresses. The various formats of the IPv6 128-bit address are described in RFC 4291.
Data. This is the payload portion of the IPv6 datagram. When the datagram reaches its destination, the payload will be removed from the IP datagram and passed on to the protocol specified in the
next header field.
The discussion above identified the purpose of the fields that are included in the IPv6 datagram.
Comparing the IPv6 datagram format in Figure 4.26 with the IPv4 datagram format that we saw in Figure 4.16, we notice that several fields appearing in the IPv4 datagram are no longer present in the
IPv6 datagram:
Fragmentation/reassembly. IPv6 does not allow for fragmentation and reassembly at intermediate routers; these operations can be performed only by the source and destination. If an IPv6 datagram
received by a router is too large to be forwarded over the outgoing link, the router simply drops the
datagram and sends a “Packet Too Big” ICMP error message (see Section 5.6) back to the sender. The sender can then resend the data, using a smaller IP datagram size. Fragmentation and
reassembly is a time-consuming operation; removing this functionality from the routers and placing it squarely in the end systems considerably speeds up IP forwarding within the network.
Header checksum. Because the transport-layer (for example, TCP and UDP) and link-layer (for example, Ethernet) protocols in the Internet layers perform checksumming, the designers of IP
probably felt that this functionality was sufficiently redundant in the network layer that it could be removed. Once again, fast processing of IP packets was a central concern. Recall from our
discussion of IPv4 in Section 4.3.1 that since the IPv4 header contains a TTL field (similar to the hop limit field in IPv6), the IPv4 header checksum needed to be recomputed at every router. As with
fragmentation and reassembly, this too was a costly operation in IPv4.
Options. An options field is no longer a part of the standard IP header. However, it has not gone away. Instead, the options field is one of the possible next headers pointed to from within the IPv6
header. That is, just as TCP or UDP protocol headers can be the next header within an IP packet, so too can an options field. The removal of the options field results in a fixed-length, 40-byte IP header.
Transitioning from IPv4 to IPv6
Now that we have seen the technical details of IPv6, let us consider a very practical matter: How will the public Internet, which is based on IPv4, be transitioned to IPv6? The problem is that while new IPv6- capable systems can be made backward-compatible, that is, can send, route, and receive IPv4 datagrams, already deployed IPv4-capable systems are not capable of handling IPv6 datagrams.
Several options are possible [Huston 2011b, RFC 4213].
One option would be to declare a flag day—a given time and date when all Internet machines would be turned off and upgraded from IPv4 to IPv6. The last major technology transition (from using NCP to
using TCP for reliable transport service) occurred almost 35 years ago. Even back then [RFC 801], when the Internet was tiny and still being administered by a small number of “wizards,” it was realized
that such a flag day was not possible. A flag day involving billions of devices is even more unthinkable today.
The approach to IPv4-to-IPv6 transition that has been most widely adopted in practice involves
tunneling [RFC 4213]. The basic idea behind tunneling—a key concept with applications in many other scenarios beyond IPv4-to-IPv6 transition, including wide use in the all-IP cellular networks that we’ll
cover in Chapter 7—is the following. Suppose two IPv6 nodes (in this example, B and E in Figure 4.27) want to interoperate using IPv6 datagrams but are connected to each other by intervening IPv4 routers.
We refer to the intervening set of IPv4 routers between two IPv6 routers as a tunnel, as illustrated in Figure 4.27. With tunneling, the IPv6 node on the sending side of the tunnel (in this example, B) takes
the entire IPv6 datagram and puts it in the data (payload) field of an IPv4 datagram. This IPv4 datagram is then addressed to the IPv6 node on the receiving side of the tunnel (in this example, E) and sent to
the first node in the tunnel (in this example, C). The intervening IPv4 routers in the tunnel route this IPv4 datagram among themselves, just as they would any other datagram, blissfully unaware that the IPv4 datagram itself contains a complete IPv6 datagram. The IPv6 node on the receiving side of the tunnel eventually receives the IPv4 datagram (it is the destination of the IPv4 datagram!), determines that the IPv4 datagram contains an IPv6 datagram (by observing that the protocol number field in the IPv4
datagram is 41 [RFC 4213], indicating that the IPv4 payload is a IPv6 datagram), extracts the IPv6 datagram, and then routes the IPv6 datagram exactly as it would if it had received the IPv6 datagram
from a directly connected IPv6 neighbor.
We end this section by noting that while the adoption of IPv6 was initially slow to take off [Lawton 2001;
Huston 2008b], momentum has been building. NIST [NIST IPv6 2015] reports that more than a third of US government second-level domains are IPv6-enabled. On the client side, Google reports that only
about 8 percent of the clients accessing Google services do so via IPv6 [Google IPv6 2015]. But other
recent measurements [Czyz 2014] indicate that IPv6 adoption is accelerating. The proliferation of devices such as IP-enabled phones and other portable devices
Figure 4.27 Tunneling
provides an additional push for more widespread deployment of IPv6. Europe’s Third Generation
Partnership Program [3GPP 2016] has specified IPv6 as the standard addressing scheme for mobile multimedia.
One important lesson that we can learn from the IPv6 experience is that it is enormously difficult to change network-layer protocols. Since the early 1990s, numerous new network-layer protocols have been trumpeted as the next major revolution for the Internet, but most of these protocols have had limited penetration to date. These protocols include IPv6, multicast protocols, and resource reservation protocols; a discussion of these latter two protocols can be found in the online supplement to this text. Indeed, introducing new protocols into the network layer is like replacing the foundation of a house—it is difficult to do without tearing the whole house down or at least temporarily relocating the house’s residents. On the other hand, the Internet has witnessed rapid deployment of new protocols at the application layer. The classic examples, of course, are the Web, instant messaging, streaming media, distributed games, and various forms of social media. Introducing new application-layer protocols is like adding a new layer of paint to a house—it is relatively easy to do, and if you choose an attractive color, others in the neighborhood will copy you. In summary, in the future we can certainly expect to see changes in the Internet’s network layer, but these changes will likely occur on a time scale that is much slower than the changes that will occur at the application layer.
4.4 Generalized Forwarding and SDN
In Section 4.2.1, we noted that an Internet router’s forwarding decision has traditionally been based solely on a packet’s destination address. In the previous section, however, we’ve also seen that there
has been a proliferation of middleboxes that perform many layer-3 functions. NAT boxes rewrite header IP addresses and port numbers; firewalls block traffic based on header-field values or redirect packets for additional processing, such as deep packet inspection (DPI). Load-balancers forward packets requesting a given service (e.g., an HTTP request) to one of a set of a set of servers that provide that
service. [RFC 3234] lists a number of common middlebox functions.
This proliferation of middleboxes, layer-2 switches, and layer-3 routers [Qazi 2013]—each with its own
specialized hardware, software and management interfaces—has undoubtedly resulted in costly headaches for many network operators. However, recent advances in software-defined networking have promised, and are now delivering, a unified approach towards providing many of these network-layer functions, and certain link-layer functions as well, in a modern, elegant, and integrated manner.
Recall that Section 4.2.1 characterized destination-based forwarding as the two steps of looking up a destination IP address (“match”), then sending the packet into the switching fabric to the specified output
port (“action”). Let’s now consider a significantly more general “match-plus-action” paradigm, where the “match” can be made over multiple header fields associated with different protocols at different layers in the protocol stack. The “action” can include forwarding the packet to one or more output ports (as in destination-based forwarding), load balancing packets across multiple outgoing interfaces that lead to a service (as in load balancing), rewriting header values (as in NAT), purposefully blocking/dropping a packet (as in a firewall), sending a packet to a special server for further processing and action (as in DPI), and more.
In generalized forwarding, a match-plus-action table generalizes the notion of the destination-based
forwarding table that we encountered in Section 4.2.1. Because forwarding decisions may be made using network-layer and/or link-layer source and destination addresses, the forwarding devices shown in
Figure 4.28 are more accurately described as “packet switches” rather than layer 3 “routers” or layer 2 “switches.” Thus, in the remainder of this section, and in Section 5.5, we’ll refer
Figure 4.28 Generalized forwarding: Each packet switch contains a match-plus-action table that is computed and distributed by a remote controller
to these devices as packet switches, adopting the terminology that is gaining widespread adoption in SDN literature.
Figure 4.28 shows a match-plus-action table in each packet switch, with the table being computed, installed, and updated by a remote controller. We note that while it is possible for the control
components at the individual packet switch to interact with each other (e.g., in a manner similar to that in
Figure 4.2), in practice generalized match-plus-action capabilities are implemented via a remote controller that computes, installs, and updates these tables. You might take a minute to compare
Figures 4.2, 4.3 and 4.28—what similarities and differences do you notice between destination-based forwarding shown in Figure 4.2 and 4.3, and generalized forwarding shown in Figure 4.28?
Our following discussion of generalized forwarding will be based on OpenFlow [McKeown 2008, OpenFlow 2009, Casado 2014, Tourrilhes 2014]—a highly visible and successful standard that has
pioneered the notion of the match-plus-action forwarding abstraction and controllers, as well as the SDN
revolution more generally [Feamster 2013]. We’ll primarily consider OpenFlow 1.0, which introduced key SDN abstractions and functionality in a particularly clear and concise manner. Later versions of
OpenFlow introduced additional capabilities as a result of experience gained through implementation and use; current and earlier versions of the OpenFlow standard can be found at [ONF 2016].
Each entry in the match-plus-action forwarding table, known as a flow table in OpenFlow, includes: A set of header field values to which an incoming packet will be matched. As in the case of
destination-based forwarding, hardware-based matching is most rapidly performed in TCAM
memory, with more than a million destination address entries being possible [Bosshart 2013]. A packet that matches no flow table entry can be dropped or sent to the remote controller for more
processing. In practice, a flow table may be implemented by multiple flow tables for performance or cost reasons [Bosshart 2013], but we’ll focus here on the abstraction of a single flow table.
A set of counters that are updated as packets are matched to flow table entries. These counters might include the number of packets that have been matched by that table entry, and the time since
the table entry was last updated.
A set of actions to be taken when a packet matches a flow table entry. These actions might be to forward the packet to a given output port, to drop the packet, makes copies of the packet and sent
them to multiple output ports, and/or to rewrite selected header fields.
We’ll explore matching and actions in more detail in Sections 4.4.1 and 4.4.2, respectively. We’ll then study how the network-wide collection of per-packet switch matching rules can be used to implement a
wide range of functions including routing, layer-2 switching, firewalling, load-balancing, virtual networks, and more in Section 4.4.3. In closing, we note that the flow table is essentially an API, the abstraction
through which an individual packet switch’s behavior can be programmed; we’ll see in Section 4.4.3 that network-wide behaviors can similarly be programmed by appropriately programming/configuring
these tables in a collection of network packet switches [Casado 2014]. 4.4.1 Match
Figure 4.29 shows the eleven packet-header fields and the incoming port ID that can be matched in an OpenFlow 1.0 match-plus-action rule. Recall from
Figure 4.29 Packet matching fields, OpenFlow 1.0 flow table
Section 1.5.2 that a link-layer (layer 2) frame arriving to a packet switch will contain a network-layer (layer 3) datagram as its payload, which in turn will typically contain a transport-layer (layer 4) segment.
The first observation we make is that OpenFlow’s match abstraction allows for a match to be made on
selected fields from three layers of protocol headers (thus rather brazenly defying the layering principle
we studied in Section 1.5). Since we’ve not yet covered the link layer, suffice it to say that the source
and destination MAC addresses shown in Figure 4.29 are the link-layer addresses associated with the frame’s sending and receiving interfaces; by forwarding on the basis of Ethernet addresses rather than
IP addresses, we can see that an OpenFlow-enabled device can equally perform as a router (layer-3 device) forwarding datagrams as well as a switch (layer-2 device) forwarding frames. The Ethernet type field corresponds to the upper layer protocol (e.g., IP) to which the frame’s payload will be de- multiplexed, and the VLAN fields are concerned with so-called virtual local area networks that we’ll study
in Chapter 6. The set of twelve values that can be matched in the OpenFlow 1.0 specification has grown to 41 values in more recent OpenFlow specifications [Bosshart 2014].
The ingress port refers to the input port at the packet switch on which a packet is received. The packet’s IP source address, IP destination address, IP protocol field, and IP type of service fields were discussed
earlier in Section 4.3.1. The transport-layer source and destination port number fields can also be matched.
Flow table entries may also have wildcards. For example, an IP address of 128.119.*.* in a flow table will match the corresponding address field of any datagram that has 128.119 as the first 16 bits of its address. Each flow table entry also has an associated priority. If a packet matches multiple flow table entries, the selected match and corresponding action will be that of the highest priority entry with which the packet matches.
Lastly, we observe that not all fields in an IP header can be matched. For example OpenFlow does not allow matching on the basis of TTL field or datagram length field. Why are some fields allowed for
matching, while others are not? Undoubtedly, the answer has to do with the tradeoff between functionality and complexity. The “art” in choosing an abstraction is to provide for enough functionality to accomplish a task (in this case to implement, configure, and manage a wide range of network-layer functions that had previously been implemented through an assortment of network-layer devices), without over-burdening the abstraction with so much detail and generality that it becomes bloated and
unusable. Butler Lampson has famously noted [Lampson 1983]:
Do one thing at a time, and do it well. An interface should capture the minimum essentials of an
abstraction. Don’t generalize; generalizations are generally wrong.
Given OpenFlow’s success, one can surmise that its designers indeed chose their abstraction well. Additional details of OpenFlow matching can be found in [OpenFlow 2009, ONF 2016].
4.4.2 Action
As shown in Figure 4.28, each flow table entry has a list of zero or more actions that determine the processing that is to be applied to a packet that matches a flow table entry. If there are multiple actions,
they are performed in the order specified in the list. Among the most important possible actions are:
Forwarding. An incoming packet may be forwarded to a particular physical output port, broadcast over all ports (except the port on which it arrived) or multicast over a selected set of ports. The
packet may be encapsulated and sent to the remote controller for this device. That controller then may (or may not) take some action on that packet, including installing new flow table entries, and may return the packet to the device for forwarding under the updated set of flow table rules.
Dropping. A flow table entry with no action indicates that a matched packet should be dropped. Modify-field. The values in ten packet header fields (all layer 2, 3, and 4 fields shown in Figure 4.29
except the IP Protocol field) may be re-written before the packet is forwarded to the chosen output port.
4.4.3 OpenFlow Examples of Match-plus-action in Action
Having now considered both the match and action components of generalized forwarding, let’s put these
ideas together in the context of the sample network shown in Figure 4.30. The network has 6 hosts (h1, h2, h3, h4, h5 and h6) and three packet switches (s1, s2 and s3), each with four local interfaces
(numbered 1 through 4). We’ll consider a number of network-wide behaviors that we’d like to implement, and the flow table entries in s1, s2 and s3 needed to implement this behavior.
Figure 4.30 OpenFlow match-plus-action network with three packet switches, 6 hosts, and an OpenFlow controller
A First Example: Simple Forwarding
As a very simple example, suppose that the desired forwarding behavior is that packets from h5 or h6 destined to h3 or h4 are to be forwarded from s3 to s1, and then from s1 to s2 (thus completely avoiding the use of the link between s3 and s2). The flow table entry in s1 would be:
s1 Flow Table (Example 1)
Match
Action
Ingress Port = 1 ; IP Src = 10.3.*.* ; IP Dst = 10.2.*.*
Forward(4)
…
…
Of course, we’ll also need a flow table entry in s3 so that datagrams sent from h5 or h6 are forwarded to s1 over outgoing interface 3:
s3 Flow Table (Example 1)
Match
Action
IP Src = 10.3.*.* ; IP Dst = 10.2.*.*
Forward(3)
…
…
Lastly, we’ll also need a flow table entry in s2 to complete this first example, so that datagrams arriving from s1 are forwarded to their destination, either host h3 or h4:
s2 Flow Table (Example 1)
Match
Action
Ingress port = 2 ; IP Dst = 10.2.0.3
Forward(3)
Ingress port = 2 ; IP Dst = 10.2.0.4
Forward(4)
…
A Second Example: Load Balancing
As a second example, let’s consider a load-balancing scenario, where datagrams from h3 destined to 10.1.*.* are to be forwarded over the direct link between s2 and s1, while datagrams from h4 destined to 10.1.*.* are to be forwarded over the link between s2 and s3 (and then from s3 to s1). Note that this behavior couldn’t be achieved with IP’s destination-based forwarding. In this case, the flow table in s2 would be:
s2 Flow Table (Example 2)
Match
Action
Ingress port = 3; IP Dst = 10.1.*.*
Forward(2)
Ingress port = 4; IP Dst = 10.1.*.*
Forward(1)
…
…
Flow table entries are also needed at s1 to forward the datagrams received from s2 to either h1 or h2; and flow table entries are needed at s3 to forward datagrams received on interface 4 from s2 over interface 3 towards s1. See if you can figure out these flow table entries at s1 and s3.
A Third Example: Firewalling
As a third example, let’s consider a firewall scenario in which s2 wants only to receive (on any of its interfaces) traffic sent from hosts attached to s3.
…
s2 Flow Table (Example 3)
Match
Action
IP Src = 10.3.*.* IP Dst = 10.2.0.3
Forward(3)
IP Src = 10.3.*.* IP Dst = 10.2.0.4
Forward(4)
…
…
If there were no other entries in s2’s flow table, then only traffic from 10.3.*.* would be forwarded to the hosts attached to s2.
Although we’ve only considered a few basic scenarios here, the versatility and advantages of generalized forwarding are hopefully apparent. In homework problems, we’ll explore how flow tables can be used to create many different logical behaviors, including virtual networks—two or more logically separate networks (each with their own independent and distinct forwarding behavior)—that use the
same physical set of packet switches and links. In Section 5.5, we’ll return to flow tables when we study the SDN controllers that compute and distribute the flow tables, and the protocol used for
communicating between a packet switch and its controller.
4.5 Summary
In this chapter we’ve covered the data plane functions of the network layer—the per-router functions that determine how packets arriving on one of a router’s input links are forwarded to one of that router’s
output links. We began by taking a detailed look at the internal operations of a router, studying input and output port functionality and destination-based forwarding, a router’s internal switching mechanism, packet queue management and more. We covered both traditional IP forwarding (where forwarding is based on a datagram’s destination address) and generalized forwarding (where forwarding and other functions may be performed using values in several different fields in the datagram’s header) and seen the versatility of the latter approach. We also studied the IPv4 and IPv6 protocols in detail, and Internet addressing, which we found to be much deeper, subtler, and more interesting than we might have expected.
With our newfound understanding of the network-layer’s data plane, we’re now ready to dive into the network layer’s control plane in Chapter 5!
Homework Problems and Questions
Chapter 4 Review Questions
SECTION 4.1
R1. Let’s review some of the terminology used in this textbook. Recall that the name of a
transport-layer packet is segment and that the name of a link-layer packet is frame. What is the name of a network-layer packet? Recall that both routers and link-layer switches are called
packet switches. What is the fundamental difference between a router and link-layer switch?
R2. We noted that network layer functionality can be broadly divided into data plane functionality
and control plane functionality. What are the main functions of the data plane? Of the control plane?
R3. We made a distinction between the forwarding function and the routing function performed in the network layer. What are the key differences between routing and forwarding?
R4. What is the role of the forwarding table within a router?
R5. We said that a network layer’s service model “defines the characteristics of end-to-end transport of packets between sending and receiving hosts.” What is the service model of the
Internet’s network layer? What guarantees are made by the Internet’s service model regarding the host-to-host delivery of datagrams?
SECTION 4.2
R6. In Section 4.2 , we saw that a router typically consists of input ports, output ports, a switching fabric and a routing processor. Which of these are implemented in hardware and which
are implemented in software? Why? Returning to the notion of the network layer’s data plane and control plane, which are implemented in hardware and which are implemented in software? Why?
R7. Discuss why each input port in a high-speed router stores a shadow copy of the forwarding table.
R8. What is meant by destination-based forwarding? How does this differ from generalized
forwarding (assuming you’ve read Section 4.4 , which of the two approaches are adopted by Software-Defined Networking)?
R9. Suppose that an arriving packet matches two or more entries in a router’s forwarding table. With traditional destination-based forwarding, what rule does a router apply to determine which
of these rules should be applied to determine the output port to which the arriving packet should be switched?
R10. Three types of switching fabrics are discussed in Section 4.2 . List and briefly describe each type. Which, if any, can send multiple packets across the fabric in parallel?
R11. Describe how packet loss can occur at input ports. Describe how packet loss at input ports can be eliminated (without using infinite buffers).
R12. Describe how packet loss can occur at output ports. Can this loss be prevented by increasing the switch fabric speed?
R13. What is HOL blocking? Does it occur in input ports or output ports?
R14. In Section 4.2 , we studied FIFO, Priority, Round Robin (RR), and Weighted Fair Queueing (WFQ) packet scheduling disciplines? Which of these queueing disciplines ensure that all
packets depart in the order in which they arrived?
R15. Give an example showing why a network operator might want one class of packets to be given priority over another class of packets.
R16. What is an essential different between RR and WFQ packet scheduling? Is there a case (Hint: Consider the WFQ weights) where RR and WFQ will behave exactly the same?
SECTION 4.3
R17. Suppose Host A sends Host B a TCP segment encapsulated in an IP datagram. When Host B receives the datagram, how does the network layer in Host B know it should pass the
segment (that is, the payload of the datagram) to TCP rather than to UDP or to some other upper-layer protocol?
R18. What field in the IP header can be used to ensure that a packet is forwarded through no
more than N routers?
R19. Recall that we saw the Internet checksum being used in both transport-layer segment (in
UDP and TCP headers, Figures 3.7 and 3.29 respectively) and in network-layer datagrams (IP
header, Figure 4.16 ). Now consider a transport layer segment encapsulated in an IP datagram. Are the checksums in the segment header and datagram header computed over any common
bytes in the IP datagram? Explain your answer.
R20. When a large datagram is fragmented into multiple smaller datagrams, where are these smaller datagrams reassembled into a single larger datagram?
R21. Do routers have IP addresses? If so, how many?
R22. What is the 32-bit binary equivalent of the IP address 223.1.3.27?
R23. Visit a host that uses DHCP to obtain its IP address, network mask, default router, and IP address of its local DNS server. List these values.
R24. Suppose there are three routers between a source host and a destination host. Ignoring fragmentation, an IP datagram sent from the source host to the destination host will travel over
how many interfaces? How many forwarding tables will be indexed to move the datagram from the source to the destination?
R25. Suppose an application generates chunks of 40 bytes of data every 20 msec, and each chunk gets encapsulated in a TCP segment and then an IP datagram. What percentage of each
datagram will be overhead, and what percentage will be application data?
R26. Suppose you purchase a wireless router and connect it to your cable modem. Also suppose that your ISP dynamically assigns your connected device (that is, your wireless router)
one IP address. Also suppose that you have five PCs at home that use 802.11 to wirelessly connect to your wireless router. How are IP addresses assigned to the five PCs? Does the wireless router use NAT? Why or why not?
R27. What is meant by the term “route aggregation”? Why is it useful for a router to perform route aggregation?
R28. What is meant by a “plug-and-play” or “zeroconf” protocol?
R29. What is a private network address? Should a datagram with a private network address ever be present in the larger public Internet? Explain.
R30. Compare and contrast the IPv4 and the IPv6 header fields. Do they have any fields in common?
R31. It has been said that when IPv6 tunnels through IPv4 routers, IPv6 treats the IPv4 tunnels as link-layer protocols. Do you agree with this statement? Why or why not?
SECTION 4.4
R32. How does generalized forwarding differ from destination-based forwarding?
R33. What is the difference between a forwarding table that we encountered in destination-
based forwarding in Section 4.1 and OpenFlow’s flow table that we encountered in Section 4.4 ?
R34. What is meant by the “match plus action” operation of a router or switch? In the case of destination-based forwarding packet switch, what is matched and what is the action taken? In
the case of an SDN, name three fields that can be matched, and three actions that can be taken. R35. Name three header fields in an IP datagram that can be “matched” in OpenFlow 1.0
generalized forwarding. What are three IP datagram header fields that cannot be “matched” in OpenFlow?
Problems
P1. Consider the network below.
a. Show the forwarding table in router A, such that all traffic destined to host H3 is forwarded through interface 3.
b. Can you write down a forwarding table in router A, such that all traffic from H1 destined to host H3 is forwarded through interface 3, while all traffic from H2 destined to host H3 is
forwarded through interface 4? (Hint: This is a trick question.)
P2. Suppose two packets arrive to two different input ports of a router at exactly the same time. Also suppose there are no other packets anywhere in the router.
a. Suppose the two packets are to be forwarded to two different output ports. Is it possible to forward the two packets through the switch fabric at the same time when the fabric
uses a shared bus?
b. Suppose the two packets are to be forwarded to two different output ports. Is it possible to forward the two packets through the switch fabric at the same time when the fabric
uses switching via memory?
c. Suppose the two packets are to be forwarded to the same output port. Is it possible to forward the two packets through the switch fabric at the same time when the fabric uses
a crossbar?
P3. In Section 4.2 , we noted that the maximum queuing delay is (n–1)D if the switching fabric is n times faster than the input line rates. Suppose that all packets are of the same length, n
packets arrive at the same time to the n input ports, and all n packets want to be forwarded to different output ports. What is the maximum delay for a packet for the (a) memory, (b) bus, and
(c) crossbar switching fabrics?
P4. Consider the switch shown below. Suppose that all datagrams have the same fixed length, that the switch operates in a slotted, synchronous manner, and that in one time slot a datagram
can be transferred from an input port to an output port. The switch fabric is a crossbar so that at most one datagram can be transferred to a given output port in a time slot, but different output ports can receive datagrams from different input ports in a single time slot. What is the minimal number of time slots needed to transfer the packets shown from input ports to their output ports, assuming any input queue scheduling order you want (i.e., it need not have HOL blocking)? What is the largest number of slots needed, assuming the worst-case scheduling order you can devise, assuming that a non-empty input queue is never idle?
P5. Consider a datagram network using 32-bit host addresses. Suppose a router has four links, numbered 0 through 3, and packets are to be forwarded to the link interfaces as follows:
Destination Address Range
Link Interface
11100000 00000000 00000000 00000000 through
11100000 00111111 11111111 11111111
0
11100000 01000000 00000000 00000000 through
11100000 01000000 11111111 11111111
1
11100000 01000001 00000000 00000000 through
11100001 01111111 11111111 11111111
2
otherwise
3
a. Provide a forwarding table that has five entries, uses longest prefix matching, and forwards packets to the correct link interfaces.
b. Describe how your forwarding table determines the appropriate link interface for datagrams with destination addresses:
11001000 10010001 01010001 01010101 11100001 01000000 11000011 00111100 11100001 10000000 00010001 01110111
P6. Consider a datagram network using 8-bit host addresses. Suppose a router uses longest prefix matching and has the following forwarding table:
Prefix Match
Interface
00
010
For each of the four interfaces, give the associated range of destination host addresses and the number of addresses in the range.
P7. Consider a datagram network using 8-bit host addresses. Suppose a router uses longest prefix matching and has the following forwarding table:
1
Prefix Match
Interface
1
0
10
1
111
2
otherwise
3
For each of the four interfaces, give the associated range of destination host addresses and the number of addresses in the range.
P8. Consider a router that interconnects three subnets: Subnet 1, Subnet 2, and Subnet 3. Suppose all of the interfaces in each of these three subnets are required to have the prefix
223.1.17/24. Also suppose that Subnet 1 is required to support at least 60 interfaces, Subnet 2 is to support at least 90 interfaces, and Subnet 3 is to support at least 12 interfaces. Provide three network addresses (of the form a.b.c.d/x) that satisfy these constraints.
P9. In Section 4.2.2 an example forwarding table (using longest prefix matching) is given. Rewrite this forwarding table using the a.b.c.d/x notation instead of the binary string notation.
P10. In Problem P5 you are asked to provide a forwarding table (using longest prefix matching). Rewrite this forwarding table using the a.b.c.d/x notation instead of the binary string notation.
P11. Consider a subnet with prefix 128.119.40.128/26. Give an example of one IP address (of form xxx.xxx.xxx.xxx) that can be assigned to this network. Suppose an ISP owns the block of
addresses of the form 128.119.40.64/26. Suppose it wants to create four subnets from this block, with each block having the same number of IP addresses. What are the prefixes (of form
0
011
10
2
2
11
3
a.b.c.d/x) for the four subnets?
P12. Consider the topology shown in Figure 4.20 . Denote the three subnets with hosts (starting clockwise at 12:00) as Networks A, B, and C. Denote the subnets without hosts as Networks D,
E, and F.
a. Assign network addresses to each of these six subnets, with the following constraints: All addresses must be allocated from 214.97.254/23; Subnet A should have enough
addresses to support 250 interfaces; Subnet B should have enough addresses to support 120 interfaces; and Subnet C should have enough addresses to support 120 interfaces. Of course, subnets D, E and F should each be able to support two interfaces. For each subnet, the assignment should take the form a.b.c.d/x or a.b.c.d/x – e.f.g.h/y.
b. Using your answer to part (a), provide the forwarding tables (using longest prefix matching) for each of the three routers.
P13. Use the whois service at the American Registry for Internet Numbers (http://www.arin.net/ whois) to determine the IP address blocks for three universities. Can the whois services be used
to determine with certainty the geographical location of a specific IP address? Use
www.maxmind.com to determine the locations of the Web servers at each of these universities. P14. Consider sending a 2400-byte datagram into a link that has an MTU of 700 bytes. Suppose
the original datagram is stamped with the identification number 422. How many fragments are generated? What are the values in the various fields in the IP datagram(s) generated related to fragmentation?
P15. Suppose datagrams are limited to 1,500 bytes (including header) between source Host A and destination Host B. Assuming a 20-byte IP header, how many datagrams would be required
to send an MP3 consisting of 5 million bytes? Explain how you computed your answer.
P16. Consider the network setup in Figure 4.25 . Suppose that the ISP instead assigns the router the address 24.34.112.235 and that the network address of the home network is
192.168.1/24.
a. Assign addresses to all interfaces in the home network.
b. Suppose each host has two ongoing TCP connections, all to port 80 at host 128.119.40.86. Provide the six corresponding entries in the NAT translation table.
P17. Suppose you are interested in detecting the number of hosts behind a NAT. You observe that the IP layer stamps an identification number sequentially on each IP packet. The
identification number of the first IP packet generated by a host is a random number, and the identification numbers of the subsequent IP packets are sequentially assigned. Assume all IP packets generated by hosts behind the NAT are sent to the outside world.
a. Based on this observation, and assuming you can sniff all packets sent by the NAT to the outside, can you outline a simple technique that detects the number of unique hosts
behind a NAT? Justify your answer.
b. If the identification numbers are not sequentially assigned but randomly assigned, would
your technique work? Justify your answer.
P18. In this problem we’ll explore the impact of NATs on P2P applications. Suppose a peer with username Arnold discovers through querying that a peer with username Bernard has a file it
wants to download. Also suppose that Bernard and Arnold are both behind a NAT. Try to devise a technique that will allow Arnold to establish a TCP connection with Bernard without application- specific NAT configuration. If you have difficulty devising such a technique, discuss why.
P19. Consider the SDN OpenFlow network shown in Figure 4.30 . Suppose that the desired forwarding behavior for datagrams arriving at s2 is as follows:
any datagrams arriving on input port 1 from hosts h5 or h6 that are destined to hosts h1 or h2 should be forwarded over output port 2;
any datagrams arriving on input port 2 from hosts h1 or h2 that are destined to hosts h5 or h6 should be forwarded over output port 1;
any arriving datagrams on input ports 1 or 2 and destined to hosts h3 or h4 should be delivered to the host specified;
hosts h3 and h4 should be able to send datagrams to each other. Specify the flow table entries in s2 that implement this forwarding behavior.
P20. Consider again the SDN OpenFlow network shown in Figure 4.30 . Suppose that the desired forwarding behavior for datagrams arriving from hosts h3 or h4 at s2 is as follows:
any datagrams arriving from host h3 and destined for h1, h2, h5 or h6 should be forwarded in a clockwise direction in the network;
any datagrams arriving from host h4 and destined for h1, h2, h5 or h6 should be forwarded in a counter-clockwise direction in the network.
Specify the flow table entries in s2 that implement this forwarding behavior.
P21. Consider again the scenario from P19 above. Give the flow tables entries at packet switches s1 and s3, such that any arriving datagrams with a source address of h3 or h4 are
routed to the destination hosts specified in the destination address field in the IP datagram. (Hint: Your forwarding table rules should include the cases that an arriving datagram is destined for a directly attached host or should be forwarded to a neighboring router for eventual host delivery there.)
P22. Consider again the SDN OpenFlow network shown in Figure 4.30 . Suppose we want switch s2 to function as a firewall. Specify the flow table in s2 that implements the following
firewall behaviors (specify a different flow table for each of the four firewalling behaviors below) for delivery of datagrams destined to h3 and h4. You do not need to specify the forwarding behavior in s2 that forwards traffic to other routers.
Only traffic arriving from hosts h1 and h6 should be delivered to hosts h3 or h4 (i.e., that arriving traffic from hosts h2 and h5 is blocked).
Only TCP traffic is allowed to be delivered to hosts h3 or h4 (i.e., that UDP traffic is blocked).
Only traffic destined to h3 is to be delivered (i.e., all traffic to h4 is blocked).
Only UDP traffic from h1 and destined to h3 is to be delivered. All other traffic is blocked.
Wireshark Lab
In the Web site for this textbook, www.pearsonhighered.com/cs-resources, you’ll find a Wireshark lab assignment that examines the operation of the IP protocol, and the IP datagram format in particular.
AN INTERVIEW WITH…
Vinton G. Cerf
Vinton G. Cerf is Vice President and Chief Internet Evangelist for Google. He served for over 16 years at MCI in various positions, ending up his tenure there as Senior Vice President for Technology Strategy. He is widely known as the co-designer of the TCP/IP protocols and the architecture of the Internet. During his time from 1976 to 1982 at the US Department of Defense Advanced Research Projects Agency (DARPA), he played a key role leading the development of Internet and Internet-related data packet and security techniques. He received the US Presidential Medal of Freedom in 2005 and the US National Medal of Technology in 1997. He holds a BS in Mathematics from Stanford University and an MS and PhD in computer science from UCLA.
What brought you to specialize in networking?
I was working as a programmer at UCLA in the late 1960s. My job was supported by the US Defense Advanced Research Projects Agency (called ARPA then, called DARPA now). I was working in the laboratory of Professor Leonard Kleinrock on the Network Measurement Center of the newly created ARPAnet. The first node of the ARPAnet was installed at UCLA on September 1, 1969. I was responsible for programming a computer that was used to capture performance information about the ARPAnet and to report this information back for comparison with mathematical models and predictions of the performance of the network.
Several of the other graduate students and I were made responsible for working on the so-called
host-level protocols of the ARPAnet—the procedures and formats that would allow many different kinds of computers on the network to interact with each other. It was a fascinating exploration into a new world (for me) of distributed computing and communication.
Did you imagine that IP would become as pervasive as it is today when you first designed the protocol?
When Bob Kahn and I first worked on this in 1973, I think we were mostly very focused on the central question: How can we make heterogeneous packet networks interoperate with one another, assuming we cannot actually change the networks themselves? We hoped that we could find a way to permit an arbitrary collection of packet-switched networks to be interconnected in a transparent fashion, so that host computers could communicate end-to-end without having to do any translations in between. I think we knew that we were dealing with powerful and expandable technology, but I doubt we had a clear image of what the world would be like with hundreds of millions of computers all interlinked on the Internet.
What do you now envision for the future of networking and the Internet? What major challenges/obstacles do you think lie ahead in their development?
I believe the Internet itself and networks in general will continue to proliferate. Already there is convincing evidence that there will be billions of Internet-enabled devices on the Internet, including appliances like cell phones, refrigerators, personal digital assistants, home servers, televisions, as well as the usual array of laptops, servers, and so on. Big challenges include support for mobility, battery life, capacity of the access links to the network, and ability to scale the optical core of the network up in an unlimited fashion. Designing an interplanetary extension of the Internet is a project in which I am deeply engaged at the Jet Propulsion Laboratory. We will need to cut over from IPv4 [32-bit addresses] to IPv6 [128 bits]. The list is long!
Who has inspired you professionally?
My colleague Bob Kahn; my thesis advisor, Gerald Estrin; my best friend, Steve Crocker (we met in high school and he introduced me to computers in 1960!); and the thousands of engineers who continue to evolve the Internet today.
Do you have any advice for students entering the networking/Internet field?
Think outside the limitations of existing systems—imagine what might be possible; but then do the hard work of figuring out how to get there from the current state of affairs. Dare to dream: A half dozen colleagues and I at the Jet Propulsion Laboratory have been working on the design of an interplanetary extension of the terrestrial Internet. It may take decades to implement this,
mission by mission, but to paraphrase: “A man’s reach should exceed his grasp, or what are the heavens for?”
Chapter 5 The Network Layer: Control Plane
In this chapter, we’ll complete our journey through the network layer by covering the control-plane
component of the network layer—the network-wide logic that controls not only how a datagram is forwarded among routers along an end-to-end path from the source host to the destination host, but also
how network-layer components and services are configured and managed. In Section 5.2, we’ll cover traditional routing algorithms for computing least cost paths in a graph; these algorithms are the basis
for two widely deployed Internet routing protocols: OSPF and BGP, that we’ll cover in Sections 5.3 and 5.4, respectively. As we’ll see, OSPF is a routing protocol that operates within a single ISP’s network.
BGP is a routing protocol that serves to interconnect all of the networks in the Internet; BGP is thus often referred to as the “glue” that holds the Internet together. Traditionally, control-plane routing protocols have been implemented together with data-plane forwarding functions, monolithically, within a
router. As we learned in the introduction to Chapter 4, software-defined networking (SDN) makes a clear separation between the data and control planes, implementing control-plane functions in a
separate “controller” service that is distinct, and remote, from the forwarding components of the routers it controls. We’ll cover SDN controllers in Section 5.5.
In Sections 5.6 and 5.7 we’ll cover some of the nuts and bolts of managing an IP network: ICMP (the Internet Control Message Protocol) and SNMP (the Simple Network Management Protocol).
5.1 Introduction
Let’s quickly set the context for our study of the network control plane by recalling Figures 4.2 and 4.3. There, we saw that the forwarding table (in the case of destination-based forwarding) and the flow
table (in the case of generalized forwarding) were the principal elements that linked the network layer’s data and control planes. We learned that these tables specify the local data-plane forwarding behavior
of a router. We saw that in the case of generalized forwarding, the actions taken (Section 4.4.2) could include not only forwarding a packet to a router’s output port, but also dropping a packet, replicating a
packet, and/or rewriting layer 2, 3 or 4 packet-header fields.
In this chapter, we’ll study how those forwarding and flow tables are computed, maintained and
installed. In our introduction to the network layer in Section 4.1, we learned that there are two possible approaches for doing so.
Per-router control. Figure 5.1 illustrates the case where a routing algorithm runs in each and every router; both a forwarding and a routing function are contained
Figure 5.1 Per-router control: Individual routing algorithm components interact in the control plane
within each router. Each router has a routing component that communicates with the routing components in other routers to compute the values for its forwarding table. This per-router control approach has been used in the Internet for decades. The OSPF and BGP protocols that we’ll study
in Sections 5.3 and 5.4 are based on this per-router approach to control.
Logically centralized control. Figure 5.2 illustrates the case in which a logically centralized
controller computes and distributes the forwarding tables to be used by each and every router. As
we saw in Section 4.4, the generalized match-plus-action abstraction allows the router to perform traditional IP forwarding as well as a rich set of other functions (load sharing, firewalling, and NAT)
that had been previously implemented in separate middleboxes.
Figure 5.2 Logically centralized control: A distinct, typically remote, controller interacts with local control agents (CAs)
The controller interacts with a control agent (CA) in each of the routers via a well-defined protocol to configure and manage that router’s flow table. Typically, the CA has minimum functionality; its job is to communicate with the controller, and to do as the controller commands. Unlike the routing algorithms in
Figure 5.1, the CAs do not directly interact with each other nor do they actively take part in computing
the forwarding table. This is a key distinction between per-router control and logically centralized control.
By “logically centralized” control [Levin 2012] we mean that the routing control service is accessed as if it were a single central service point, even though the service is likely to be implemented via multiple
servers for fault-tolerance, and performance scalability reasons. As we will see in Section 5.5, SDN adopts this notion of a logically centralized controller—an approach that is finding increased use in
production deployments. Google uses SDN to control the routers in its internal B4 global wide-area
network that interconnects its data centers [Jain 2013]. SWAN [Hong 2013], from Microsoft Research, uses a logically centralized controller to manage routing and forwarding between a wide area network
and a data center network. China Telecom and China Unicom are using SDN both within data centers
and between data centers [Li 2015]. AT&T has noted [AT&T 2013] that it “supports many SDN capabilities and independently defined, proprietary mechanisms that fall under the SDN architectural
framework.”
5.2 Routing Algorithms
In this section we’ll study routing algorithms, whose goal is to determine good paths (equivalently, routes), from senders to receivers, through the network of routers. Typically, a “good” path is one that has the least cost. We’ll see that in practice, however, real-world concerns such as policy issues (for example,
a rule such as “router x, belonging to organization Y, should not forward any packets originating from the network owned by organization Z ”) also come into play. We note that whether the network control plane
adopts a per-router control approach or a logically centralized approach, there must always be a well- defined sequence of routers that a packet will cross in traveling from sending to receiving host. Thus, the routing algorithms that compute these paths are of fundamental importance, and another candidate for our top-10 list of fundamentally important networking concepts.
A graph is used to formulate routing problems. Recall that a graph G=(N, E) is a set N of nodes and a collection E of edges, where each edge is a pair of nodes from N. In the context of network-layer routing,
the nodes in the graph represent
Figure 5.3 Abstract graph model of a computer network
routers—the points at which packet-forwarding decisions are made—and the edges connecting these nodes represent the physical links between these routers. Such a graph abstraction of a computer network
is shown in Figure 5.3. To view some graphs representing real network maps, see [Dodge 2016, Cheswick 2000]; for a discussion of how well different graph-based models model the Internet, see [Zegura 1997, Faloutsos 1999, Li 2004].
As shown in Figure 5.3, an edge also has a value representing its cost. Typically, an edge’s cost may reflect the physical length of the corresponding link (for example, a transoceanic link might have a higher
cost than a short-haul terrestrial link), the link speed, or the monetary cost associated with a link. For our purposes, we’ll simply take the edge costs as a given and won’t worry about how they are determined. For
any edge (x, y) in E, we denote c(x, y) as the cost of the edge between nodes x and y. If the pair (x, y) does not belong to E, we set c(x, y)=∞. Also, we’ll only consider undirected graphs (i.e., graphs whose
edges do not have a direction) in our discussion here, so that edge (x, y) is the same as edge (y, x) and that c(x, y)=c(y, x); however, the algorithms we’ll study can be easily extended to the case of directed links
with a different cost in each direction. Also, a node y is said to be a neighbor of node x if (x, y) belongs to E.
Given that costs are assigned to the various edges in the graph abstraction, a natural goal of a routing algorithm is to identify the least costly paths between sources and destinations. To make this problem more precise, recall that a path in a graph G=(N, E) is a sequence of nodes (x1,x2,⋯,xp) such that each
of the pairs (x1,x2),(x2,x3),⋯,(xp−1,xp) are edges in E. The cost of a path (x1,x2,⋯, xp) is simply the sum of all the edge costs along the path, that is, c(x1,x2)+c(x2,x3)+⋯+c(xp−1,xp). Given any two nodes x and
y, there are typically many paths between the two nodes, with each path having a cost. One or more of these paths is a least-cost path. The least-cost problem is therefore clear: Find a path between the
source and destination that has least cost. In Figure 5.3, for example, the least-cost path between source node u and destination node w is (u, x, y, w) with a path cost of 3. Note that if all edges in the graph have
the same cost, the least-cost path is also the shortest path (that is, the path with the smallest number of links between the source and the destination).
As a simple exercise, try finding the least-cost path from node u to z in Figure 5.3 and reflect for a moment on how you calculated that path. If you are like most people, you found the path from u to z by
examining Figure 5.3, tracing a few routes from u to z, and somehow convincing yourself that the path you had chosen had the least cost among all possible paths. (Did you check all of the 17 possible paths
between u and z? Probably not!) Such a calculation is an example of a centralized routing algorithm—the routing algorithm was run in one location, your brain, with complete information about the network.
Broadly, one way in which we can classify routing algorithms is according to whether they are centralized or decentralized.
A centralized routing algorithm computes the least-cost path between a source and destination using complete, global knowledge about the network. That is, the algorithm takes the connectivity
between all nodes and all link costs as inputs. This then requires that the algorithm somehow obtain this information before actually performing the calculation. The calculation itself can be run at one site
(e.g., a logically centralized controller as in Figure 5.2) or could be replicated in the routing component of each and every router (e.g., as in Figure 5.1). The key distinguishing feature here, however, is that
the algorithm has complete information about connectivity and link costs. Algorithms with global state information are often referred to as link-state (LS) algorithms, since the algorithm must be aware of
the cost of each link in the network. We’ll study LS algorithms in Section 5.2.1.
In a decentralized routing algorithm, the calculation of the least-cost path is carried out in an
iterative, distributed manner by the routers. No node has complete information about the costs of all network links. Instead, each node begins with only the knowledge of the costs of its own directly attached links. Then, through an iterative process of calculation and exchange of information with its neighboring nodes, a node gradually calculates the least-cost path to a destination or set of
destinations. The decentralized routing algorithm we’ll study below in Section 5.2.2 is called a distance-vector (DV) algorithm, because each node maintains a vector of estimates of the costs
(distances) to all other nodes in the network. Such decentralized algorithms, with interactive message exchange between neighboring routers is perhaps more naturally suited to control planes where the
routers interact directly with each other, as in Figure 5.1.
A second broad way to classify routing algorithms is according to whether they are static or dynamic. In static routing algorithms, routes change very slowly over time, often as a result of human intervention (for example, a human manually editing a link costs). Dynamic routing algorithms change the routing paths as the network traffic loads or topology change. A dynamic algorithm can be run either periodically or in direct response to topology or link cost changes. While dynamic algorithms are more responsive to network changes, they are also more susceptible to problems such as routing loops and route oscillation.
A third way to classify routing algorithms is according to whether they are load-sensitive or load- insensitive. In a load-sensitive algorithm, link costs vary dynamically to reflect the current level of congestion in the underlying link. If a high cost is associated with a link that is currently congested, a routing algorithm will tend to choose routes around such a congested link. While early ARPAnet routing
algorithms were load-sensitive [McQuillan 1980], a number of difficulties were encountered [Huitema 1998]. Today’s Internet routing algorithms (such as RIP, OSPF, and BGP) are load-insensitive, as a
link’s cost does not explicitly reflect its current (or recent past) level of congestion.
5.2.1 The Link-State (LS) Routing Algorithm
Recall that in a link-state algorithm, the network topology and all link costs are known, that is, available as input to the LS algorithm. In practice this is accomplished by having each node broadcast link-state
packets to all other nodes in the network, with each link-state packet containing the identities and costs of
its attached links. In practice (for example, with the Internet’s OSPF routing protocol, discussed in Section
5.3) this is often accomplished by a link-state broadcast algorithm [Perlman 1999]. The result of the nodes’ broadcast is that all nodes have an identical and complete view of the network. Each node can
then run the LS algorithm and compute the same set of least-cost paths as every other node.
The link-state routing algorithm we present below is known as Dijkstra’s algorithm, named after its
inventor. A closely related algorithm is Prim’s algorithm; see [Cormen 2001] for a general discussion of graph algorithms. Dijkstra’s algorithm computes the least-cost path from one node (the source, which we
will refer to as u) to all other nodes in the network. Dijkstra’s algorithm is iterative and has the property that
after the kth iteration of the algorithm, the least-cost paths are known to k destination nodes, and among the least-cost paths to all destination nodes, these k paths will have the k smallest costs. Let us define the
following notation:
D(v): cost of the least-cost path from the source node to destination v as of this iteration of the algorithm.
p(v): previous node (neighbor of v) along the current least-cost path from the source to v. N′: subset of nodes; v is in N′ if the least-cost path from the source to v is definitively known.
The centralized routing algorithm consists of an initialization step followed by a loop. The number of times the loop is executed is equal to the number of nodes in the network. Upon termination, the algorithm will
have calculated the shortest paths from the source node u to every other node in the network. Link-State (LS) Algorithm for Source Node u
1
2 3 4 5 6 7 8
Initialization:
N’ = {u}
for all nodes v
if v is a neighbor of u
then D(v) = c(u, v)
else D(v) = ∞
Loop
find w not in N’ such that D(w) is a minimum
add w to N’
9
10
11update D(v) for each neighbor v of w and not in N’:
12
13
14
15 until N’= N
D(v) = min(D(v), D(w)+ c(w, v) )
/* new cost to v is either old cost to v or known
least path cost to w plus cost from w to v */
As an example, let’s consider the network in Figure 5.3 and compute the least-cost paths from u to all possible destinations. A tabular summary of the algorithm’s computation is shown in Table 5.1, where
each line in the table gives the values of the algorithm’s variables at the end of the iteration. Let’s consider the few first steps in detail.
In the initialization step, the currently known least-cost paths from u to its directly attached neighbors,
v, x, and w, are initialized to 2, 1, and 5, respectively. Note in
Table 5.1 Running the link-state algorithm on the network in Figure 5.3
step
N’
D (v), p (v)
D (w), p (w)
D (x), p (x)
D (y), p (y)
D (z), p (z)
0
u
2, u
5, u
1,u
∞
∞
1
ux
2, u
4, x
2, x
∞
2
uxy
2, u
3, y
4, y
3
uxyv
3, y
4, y
4
uxyvw
4, y
5
uxyvwz
particular that the cost to w is set to 5 (even though we will soon see that a lesser-cost path does indeed exist) since this is the cost of the direct (one hop) link from u to w. The costs to y and z are set to infinity because they are not directly connected to u.
In the first iteration, we look among those nodes not yet added to the set N′ and find that node with the least cost as of the end of the previous iteration. That node is x, with a cost of 1, and thus x is added to the set N′. Line 12 of the LS algorithm is then performed to update D(v) for all nodes v, yielding the results shown in the second line (Step 1) in Table 5.1. The cost of the path to v is unchanged. The cost of the path to w (which was 5 at the end of the initialization) through node x is found to have a cost of 4. Hence this lower-cost path is selected and w’s predecessor along the shortest path from u is set to x. Similarly, the cost to y (through x) is computed to be 2, and the table is updated accordingly.
In the second iteration, nodes v and y are found to have the least-cost paths (2), and we break the tie arbitrarily and add y to the set N′ so that N′ now contains u, x, and y. The cost to the remaining nodes not yet in N′, that is, nodes v, w, and z, are updated via line 12 of the LS algorithm, yielding the results shown in the third row in Table 5.1.
And so on . . .
When the LS algorithm terminates, we have, for each node, its predecessor along the least-cost path from the source node. For each predecessor, we also have its predecessor, and so in this manner we can
construct the entire path from the source to all destinations. The forwarding table in a node, say node u, can then be constructed from this information by storing, for each destination, the next-hop node on the
least-cost path from u to the destination. Figure 5.4 shows the resulting least-cost paths and forwarding table in u for the network in Figure 5.3.
Figure 5.4 Least cost path and forwarding table for node u
What is the computational complexity of this algorithm? That is, given n nodes (not counting the source), how much computation must be done in the worst case to find the least-cost paths from the source to all
destinations? In the first iteration, we need to search through all n nodes to determine the node, w, not in N′ that has the minimum cost. In the second iteration, we need to check n−1 nodes to determine the
minimum cost; in the third iteration n−2 nodes, and so on. Overall, the total number of nodes we need to search through over all the iterations is n(n+1)/2, and thus we say that the preceding implementation of the
LS algorithm has worst-case complexity of order n squared: O(n2). (A more sophisticated implementation of this algorithm, using a data structure known as a heap, can find the minimum in line 9 in logarithmic rather than linear time, thus reducing the complexity.)
Before completing our discussion of the LS algorithm, let us consider a pathology that can arise. Figure 5.5 shows a simple network topology where link costs are equal to the load carried on the link, for
example, reflecting the delay that would be experienced. In this example, link costs are not symmetric; that
is, c(u, v) equals c(v, u) only if the load carried on both directions on the link (u, v) is the same. In this example, node z originates a unit of traffic destined for w, node x also originates a unit of traffic destined for w, and node y injects an amount of traffic equal to e, also destined for w. The initial routing is shown in Figure 5.5(a) with the link costs corresponding to the amount of traffic carried.
When the LS algorithm is next run, node y determines (based on the link costs shown in Figure 5.5(a))
that the clockwise path to w has a cost of 1, while the counterclockwise path to w (which it had been using)
has a cost of 1+e. Hence y’s least-cost path to w is now clockwise. Similarly, x determines that its new
least-cost path to w is also clockwise, resulting in costs shown in Figure 5.5(b). When the LS algorithm is
run next, nodes x, y, and z all detect a zero-cost path to w in the counterclockwise direction, and all route
their traffic to the counterclockwise routes. The next time the LS algorithm is run, x, y, and z all then route their traffic to the clockwise routes.
What can be done to prevent such oscillations (which can occur in any algorithm, not just an LS algorithm, that uses a congestion or delay-based link metric)? One solution would be to mandate that link costs not depend on the amount of traffic
Figure 5.5 Oscillations with congestion-sensitive routing
carried—an unacceptable solution since one goal of routing is to avoid highly congested (for example, high-delay) links. Another solution is to ensure that not all routers run the LS algorithm at the same time. This seems a more reasonable solution, since we would hope that even if routers ran the LS algorithm with the same periodicity, the execution instance of the algorithm would not be the same at each node. Interestingly, researchers have found that routers in the Internet can self-synchronize among themselves
[Floyd Synchronization 1994]. That is, even though they initially execute the algorithm with the same period but at different instants of time, the algorithm execution instance can eventually become, and
remain, synchronized at the routers. One way to avoid such self-synchronization is for each router to randomize the time it sends out a link advertisement.
Having studied the LS algorithm, let’s consider the other major routing algorithm that is used in practice today—the distance-vector routing algorithm.
5.2.2 The Distance-Vector (DV) Routing Algorithm
Whereas the LS algorithm is an algorithm using global information, the distance-vector (DV) algorithm is
iterative, asynchronous, and distributed. It is distributed in that each node receives some information from
one or more of its directly attached neighbors, performs a calculation, and then distributes the results of its
calculation back to its neighbors. It is iterative in that this process continues on until no more information is exchanged between neighbors. (Interestingly, the algorithm is also self-terminating—there is no signal that
the computation should stop; it just stops.) The algorithm is asynchronous in that it does not require all of the nodes to operate in lockstep with each other. We’ll see that an asynchronous, iterative, self-
terminating, distributed algorithm is much more interesting and fun than a centralized algorithm!
Before we present the DV algorithm, it will prove beneficial to discuss an important relationship that exists
among the costs of the least-cost paths. Let dx(y) be the cost of the least-cost path from node x to node y. Then the least costs are related by the celebrated Bellman-Ford equation, namely,
dx(y)=minv{c(x,v)+dv(y)},
(5.1)
where the minv in the equation is taken over all of x’s neighbors. The Bellman-Ford equation is rather intuitive. Indeed, after traveling from x to v, if we then take the least-cost path from v to y, the path cost will
be c(x,v)+dv(y). Since we must begin by traveling to some neighbor v, the least cost from x to y is the minimum of c(x,v)+dv(y) taken over all neighbors v.
But for those who might be skeptical about the validity of the equation, let’s check it for source node u and destination node z in Figure 5.3. The source node u has three neighbors: nodes v, x, and w. By walking
along various paths in the graph, it is easy to see that dv(z)=5, dx(z)=3, and dw(z)=3. Plugging these
values into Equation 5.1, along with the costs c(u,v)=2, c(u,x)=1, and c(u,w)=5, gives du(z)=min{2+5,5+3,1+3}=4, which is obviously true and which is exactly what the Dijskstra algorithm gave
us for the same network. This quick verification should help relieve any skepticism you may have. The Bellman-Ford equation is not just an intellectual curiosity. It actually has significant practical
importance: the solution to the Bellman-Ford equation provides the entries in node x’s forwarding table. To
see this, let v* be any neighboring node that achieves the minimum in Equation 5.1. Then, if node x wants
to send a packet to node y along a least-cost path, it should first forward the packet to node v*. Thus, node
x’s forwarding table would specify node v* as the next-hop router for the ultimate destination y. Another important practical contribution of the Bellman-Ford equation is that it suggests the form of the neighbor-
to-neighbor communication that will take place in the DV algorithm.
The basic idea is as follows. Each node x begins with Dx(y), an estimate of the cost of the least-cost path from itself to node y, for all nodes, y, in N. Let Dx=[Dx(y): y in N] be node x’s distance vector, which is the
vector of cost estimates from x to all other nodes, y, in N. With the DV algorithm, each node x maintains the following routing information:
For each neighbor v, the cost c(x, v) from x to directly attached neighbor, v
Node x’s distance vector, that is, Dx=[Dx(y): y in N], containing x’s estimate of its cost to all destinations, y, in N
The distance vectors of each of its neighbors, that is, Dv=[Dv(y): y in N] for each neighbor v of x
In the distributed, asynchronous algorithm, from time to time, each node sends a copy of its distance vector to each of its neighbors. When a node x receives a new distance vector from any of its neighbors w,
it saves w’s distance vector, and then uses the Bellman-Ford equation to update its own distance vector as follows:
Dx(y)=minv{c(x,v)+Dv(y)}for each node y in N
If node x’s distance vector has changed as a result of this update step, node x will then send its updated
distance vector to each of its neighbors, which can in turn update their own distance vectors. Miraculously enough, as long as all the nodes continue to exchange their distance vectors in an asynchronous fashion,
each cost estimate Dx(y) converges to dx(y), the actual cost of the least-cost path from node x to node y [Bertsekas 1991]!
Distance-Vector (DV) Algorithm
At each node, x:
1
2 3
4 5
6 7
8 9
10
11 12
13 14
Initialization:
for all destinations y in N:
Dx(y)= c(x, y)/* if y is not a neighbor then c(x, y)= ∞ */
for each neighbor w
Dw(y) = ? for all destinations y in N
for each neighbor w
send distance vector Dx = [Dx(y): y in N] to w
loop
wait (until I see a link cost change to some neighbor w or
until I receive a distance vector from some neighbor w)
for each y in N:
Dx(y) = minv{c(x, v) + Dv(y)}
15
16 if Dx(y) changed for any destination y
17 send distance vector Dx = [Dx(y): y in N] to all neighbors 18
19 forever
In the DV algorithm, a node x updates its distance-vector estimate when it either sees a cost change in one of its directly attached links or receives a distance-vector update from some neighbor. But to update
its own forwarding table for a given destination y, what node x really needs to know is not the shortest-path distance to y but instead the neighboring node v*(y) that is the next-hop router along the shortest path to y. As you might expect, the next-hop router v*(y) is the neighbor v that achieves the minimum in Line 14 of the DV algorithm. (If there are multiple neighbors v that achieve the minimum, then v*(y) can be any of the minimizing neighbors.) Thus, in Lines 13–14, for each destination y, node x also determines v*(y) and updates its forwarding table for destination y.
Recall that the LS algorithm is a centralized algorithm in the sense that it requires each node to first obtain
a complete map of the network before running the Dijkstra algorithm. The DV algorithm is decentralized and does not use such global information. Indeed, the only information a node will have is the costs of the
links to its directly attached neighbors and information it receives from these neighbors. Each node waits for an update from any neighbor (Lines 10–11), calculates its new distance vector when receiving an update (Line 14), and distributes its new distance vector to its neighbors (Lines 16–17). DV-like algorithms are used in many routing protocols in practice, including the Internet’s RIP and BGP, ISO IDRP, Novell IPX, and the original ARPAnet.
Figure 5.6 illustrates the operation of the DV algorithm for the simple three-node network shown at the top of the figure. The operation of the algorithm is illustrated in a synchronous manner, where all nodes
simultaneously receive distance vectors from their neighbors, compute their new distance vectors, and inform their neighbors if their distance vectors have changed. After studying this example, you should convince yourself that the algorithm operates correctly in an asynchronous manner as well, with node computations and update generation/reception occurring at any time.
The leftmost column of the figure displays three initial routing tables for each of the three nodes. For example, the table in the upper-left corner is node x’s initial routing table. Within a specific routing table,
each row is a distance vector— specifically, each node’s routing table includes its own distance vector and
that of each of its neighbors. Thus, the first row in node x’s initial routing table is Dx=[Dx(x),Dx(y),Dx(z)]=[0,2,7]. The second and third rows in this table are the most recently received
distance vectors from nodes y and z, respectively. Because at initialization node x has not received anything from node y or z, the entries in the second and third rows are initialized to infinity.
After initialization, each node sends its distance vector to each of its two neighbors. This is illustrated in
Figure 5.6 by the arrows from the first column of tables to the second column of tables. For example, node x sends its distance vector Dx = [0, 2, 7] to both nodes y and z. After receiving the updates, each node recomputes its own distance vector. For example, node x computes
Dx(x)=0Dx(y)=min{c(x,y)+Dy(y),c(x,z)+Dz(y)}=min{2+0, 7+1}=2Dx(z)=min{c(x,y)+Dy(z),c(x,z)+Dz(z)}=min{2+1,7+0}=3
The second column therefore displays, for each node, the node’s new distance vector along with distance vectors just received from its neighbors. Note, for example, that
Figure 5.6 Distance-vector (DV) algorithm in operation
node x’s estimate for the least cost to node z, Dx(z), has changed from 7 to 3. Also note that for node x, neighboring node y achieves the minimum in line 14 of the DV algorithm; thus at this stage of the algorithm, we have at node x that v*(y)=y and v*(z)=y.
After the nodes recompute their distance vectors, they again send their updated distance vectors to their
neighbors (if there has been a change). This is illustrated in Figure 5.6 by the arrows from the second column of tables to the third column of tables. Note that only nodes x and z send updates: node y’s
distance vector didn’t change so node y doesn’t send an update. After receiving the updates, the nodes then recompute their distance vectors and update their routing tables, which are shown in the third
column.
The process of receiving updated distance vectors from neighbors, recomputing routing table entries, and informing neighbors of changed costs of the least-cost path to a destination continues until no update messages are sent. At this point, since no update messages are sent, no further routing table calculations will occur and the algorithm will enter a quiescent state; that is, all nodes will be performing the wait in Lines 10–11 of the DV algorithm. The algorithm remains in the quiescent state until a link cost changes, as discussed next.
Distance-Vector Algorithm: Link-Cost Changes and Link Failure
When a node running the DV algorithm detects a change in the link cost from itself to a neighbor (Lines 10–11), it updates its distance vector (Lines 13–14) and, if there’s a change in the cost of the least-cost
path, informs its neighbors (Lines 16–17) of its new distance vector. Figure 5.7(a) illustrates a scenario where the link cost from y to x changes from 4 to 1. We focus here only on y’ and z’s distance table entries to destination x. The DV algorithm causes the following sequence of events to occur:
At time t0, y detects the link-cost change (the cost has changed from 4 to 1), updates its distance vector, and informs its neighbors of this change since its distance vector has changed.
At time t1, z receives the update from y and updates its table. It computes a new least cost to x (it has decreased from a cost of 5 to a cost of 2) and sends its new distance vector to its neighbors.
At time t2, y receives z’s update and updates its distance table. y’s least costs do not change and hence y does not send any message to z. The algorithm comes to a quiescent state.
Thus, only two iterations are required for the DV algorithm to reach a quiescent state. The good news about the decreased cost between x and y has propagated quickly through the network.
Figure 5.7 Changes in link cost
Let’s now consider what can happen when a link cost increases. Suppose that the link cost between x and y increases from 4 to 60, as shown in Figure 5.7(b).
1. Before the link cost changes, Dy(x)=4, Dy(z)=1, Dz(y)=1, and Dz(x)=5. At time t0, y detects the link-
cost change (the cost has changed from 4 to 60). y computes its new minimum-cost path to x to have a cost of
Dy(x)=min{c(y,x)+Dx(x), c(y,z)+Dz(x)}=min{60+0,1+5}=6
Of course, with our global view of the network, we can see that this new cost via z is wrong. But the only information node y has is that its direct cost to x is 60 and that z has last told y that z could get to x with a cost of 5. So in order to get to x, y would now route through z, fully expecting that z will be able to get to x with a cost of 5. As of t1 we have a routing loop—in order to get to x, y routes through z, and z routes through y. A routing loop is like a black hole—a packet destined for x arriving at y or z as of t1 will bounce back and forth between these two nodes forever (or until the forwarding tables are changed).
2. Since node y has computed a new minimum cost to x, it informs z of its new distance vector at time t1.
3. Sometime after t1, z receives y’s new distance vector, which indicates that y’s minimum cost to x is 6. z knows it can get to y with a cost of 1 and hence computes a new least cost to x of
Dz(x)=min{50+0,1+6}=7. Since z’s least cost to x has increased, it then informs y of its new
distance vector at t2.
4. In a similar manner, after receiving z’s new distance vector, y determines Dy(x)=8 and sends z its
distance vector. z then determines Dz(x)=9 and sends y its distance vector, and so on.
How long will the process continue? You should convince yourself that the loop will persist for 44 iterations
(message exchanges between y and z)—until z eventually computes the cost of its path via y to be greater
than 50. At this point, z will (finally!) determine that its least-cost path to x is via its direct connection to x. y
will then route to x via z. The result of the bad news about the increase in link cost has indeed traveled
slowly! What would have happened if the link cost c(y, x) had changed from 4 to 10,000 and the cost c(z,
x) had been 9,999? Because of such scenarios, the problem we have seen is sometimes referred to as the count-to-infinity problem.
Distance-Vector Algorithm: Adding Poisoned Reverse
The specific looping scenario just described can be avoided using a technique known as poisoned
reverse. The idea is simple—if z routes through y to get to destination x, then z will advertise to y that its
distance to x is infinity, that is, z will advertise to y that Dz(x)=∞ (even though z knows Dz(x)=5 in truth). z
will continue telling this little white lie to y as long as it routes to x via y. Since y believes that z has no path
to x, y will never attempt to route to x via z, as long as z continues to route to x via y (and lies about doing so).
Let’s now see how poisoned reverse solves the particular looping problem we encountered before in Figure 5.5(b). As a result of the poisoned reverse, y’s distance table indicates Dz(x)=∞. When the cost of
the (x, y) link changes from 4 to 60 at time t0, y updates its table and continues to route directly to x, albeit
at a higher cost of 60, and informs z of its new cost to x, that is, Dy(x)=60. After receiving the update at t1, z immediately shifts its route to x to be via the direct (z, x) link at a cost of 50. Since this is a new least-cost path to x, and since the path no longer passes through y, z now informs y that Dz(x)=50 at t2. After receiving the update from z, y updates its distance table with Dy(x)=51. Also, since z is now on y’s least- cost path to x, y poisons the reverse path from z to x by informing z at time t3 that Dy(x)=∞ (even though y knows that Dy(x)=51 in truth).
Does poisoned reverse solve the general count-to-infinity problem? It does not. You should convince yourself that loops involving three or more nodes (rather than simply two immediately neighboring nodes) will not be detected by the poisoned reverse technique.
A Comparison of LS and DV Routing Algorithms
The DV and LS algorithms take complementary approaches toward computing routing. In the DV
algorithm, each node talks to only its directly connected neighbors, but it provides its neighbors with least-
cost estimates from itself to all the nodes (that it knows about) in the network. The LS algorithm requires
global information. Consequently, when implemented in each and every router, e.g., as in Figure 4.2 and
5.1, each node would need to communicate with all other nodes (via broadcast), but it tells them only the costs of its directly connected links. Let’s conclude our study of LS and DV algorithms with a quick
comparison of some of their attributes. Recall that N is the set of nodes (routers) and E is the set of edges (links).
Message complexity. We have seen that LS requires each node to know the cost of each link in the network. This requires O(|N| |E|) messages to be sent. Also, whenever a link cost changes, the new
link cost must be sent to all nodes. The DV algorithm requires message exchanges between directly connected neighbors at each iteration. We have seen that the time needed for the algorithm to converge can depend on many factors. When link costs change, the DV algorithm will propagate the results of the changed link cost only if the new link cost results in a changed least-cost path for one of the nodes attached to that link.
Speed of convergence. We have seen that our implementation of LS is an O(|N|2) algorithm requiring O(|N| |E|)) messages. The DV algorithm can converge slowly and can have routing loops while the algorithm is converging. DV also suffers from the count-to-infinity problem.
Robustness. What can happen if a router fails, misbehaves, or is sabotaged? Under LS, a router could broadcast an incorrect cost for one of its attached links (but no others). A node could also corrupt
or drop any packets it received as part of an LS broadcast. But an LS node is computing only its own forwarding tables; other nodes are performing similar calculations for themselves. This means route calculations are somewhat separated under LS, providing a degree of robustness. Under DV, a node can advertise incorrect least-cost paths to any or all destinations. (Indeed, in 1997, a malfunctioning router in a small ISP provided national backbone routers with erroneous routing information. This caused other routers to flood the malfunctioning router with traffic and caused large portions of the
Internet to become disconnected for up to several hours [Neumann 1997].) More generally, we note that, at each iteration, a node’s calculation in DV is passed on to its neighbor and then indirectly to its
neighbor’s neighbor on the next iteration. In this sense, an incorrect node calculation can be diffused through the entire network under DV.
In the end, neither algorithm is an obvious winner over the other; indeed, both algorithms are used in the Internet.
5.3 Intra-AS Routing in the Internet: OSPF
In our study of routing algorithms so far, we’ve viewed the network simply as a collection of interconnected routers. One router was indistinguishable from another in the sense that all routers executed the same routing algorithm to compute routing paths through the entire network. In practice, this model and its view of a homogenous set of routers all executing the same routing algorithm is simplistic for two important reasons:
Scale. As the number of routers becomes large, the overhead involved in communicating, computing, and storing routing information becomes prohibitive. Today’s Internet consists of
hundreds of millions of routers. Storing routing information for possible destinations at each of these routers would clearly require enormous amounts of memory. The overhead required to broadcast connectivity and link cost updates among all of the routers would be huge! A distance-vector algorithm that iterated among such a large number of routers would surely never converge. Clearly, something must be done to reduce the complexity of route computation in a network as large as the Internet.
Administrative autonomy. As described in Section 1.3, the Internet is a network of ISPs, with each ISP consisting of its own network of routers. An ISP generally desires to operate its network as it
pleases (for example, to run whatever routing algorithm it chooses within its network) or to hide aspects of its network’s internal organization from the outside. Ideally, an organization should be able to operate and administer its network as it wishes, while still being able to connect its network to other outside networks.
Both of these problems can be solved by organizing routers into autonomous systems (ASs), with each AS consisting of a group of routers that are under the same administrative control. Often the routers in an ISP, and the links that interconnect them, constitute a single AS. Some ISPs, however, partition their network into multiple ASs. In particular, some tier-1 ISPs use one gigantic AS for their entire network, whereas others break up their ISP into tens of interconnected ASs. An autonomous
system is identified by its globally unique autonomous system number (ASN) [RFC 1930]. AS numbers, like IP addresses, are assigned by ICANN regional registries [ICANN 2016].
Routers within the same AS all run the same routing algorithm and have information about each other. The routing algorithm running within an autonomous system is called an intra-autonomous system routing protocol.
Open Shortest Path First (OSPF)
OSPF routing and its closely related cousin, IS-IS, are widely used for intra-AS routing in the Internet. The Open in OSPF indicates that the routing protocol specification is publicly available (for example, as
opposed to Cisco’s EIGRP protocol, which was only recently became open [Savage 2015], after roughly 20 years as a Cisco-proprietary protocol). The most recent version of OSPF, version 2, is defined in
[RFC 2328], a public document.
OSPF is a link-state protocol that uses flooding of link-state information and a Dijkstra’s least-cost path algorithm. With OSPF, each router constructs a complete topological map (that is, a graph) of the entire autonomous system. Each router then locally runs Dijkstra’s shortest-path algorithm to determine a
shortest-path tree to all subnets, with itself as the root node. Individual link costs are configured by the network administrator (see sidebar, Principles and Practice: Setting OSPF Weights). The
administrator might choose to set all link costs to 1, PRINCIPLES IN PRACTICE
SETTING OSPF LINK WEIGHTS
Our discussion of link-state routing has implicitly assumed that link weights are set, a routing algorithm such as OSPF is run, and traffic flows according to the routing tables computed by the LS algorithm. In terms of cause and effect, the link weights are given (i.e., they come first) and result (via Dijkstra’s algorithm) in routing paths that minimize overall cost. In this viewpoint, link weights reflect the cost of using a link (e.g., if link weights are inversely proportional to capacity, then the use of high-capacity links would have smaller weight and thus be more attractive from a routing standpoint) and Dijsktra’s algorithm serves to minimize overall cost.
In practice, the cause and effect relationship between link weights and routing paths may be reversed, with network operators configuring link weights in order to obtain routing paths that
achieve certain traffic engineering goals [Fortz 2000, Fortz 2002]. For example, suppose a network operator has an estimate of traffic flow entering the network at each ingress point and
destined for each egress point. The operator may then want to put in place a specific routing of ingress-to-egress flows that minimizes the maximum utilization over all of the network’s links. But with a routing algorithm such as OSPF, the operator’s main “knobs” for tuning the routing of flows through the network are the link weights. Thus, in order to achieve the goal of minimizing the maximum link utilization, the operator must find the set of link weights that achieves this goal. This is a reversal of the cause and effect relationship—the desired routing of flows is known, and the OSPF link weights must be found such that the OSPF routing algorithm results in this desired routing of flows.
thus achieving minimum-hop routing, or might choose to set the link weights to be inversely proportional to link capacity in order to discourage traffic from using low-bandwidth links. OSPF does not mandate a policy for how link weights are set (that is the job of the network administrator), but instead provides
the mechanisms (protocol) for determining least-cost path routing for the given set of link weights.
With OSPF, a router broadcasts routing information to all other routers in the autonomous system, not just to its neighboring routers. A router broadcasts link-state information whenever there is a change in a
link’s state (for example, a change in cost or a change in up/down status). It also broadcasts a link’s state periodically (at least once every 30 minutes), even if the link’s state has not changed. RFC 2328 notes that “this periodic updating of link state advertisements adds robustness to the link state algorithm.” OSPF advertisements are contained in OSPF messages that are carried directly by IP, with an upper-layer protocol of 89 for OSPF. Thus, the OSPF protocol must itself implement functionality such as reliable message transfer and link-state broadcast. The OSPF protocol also checks that links are operational (via a HELLO message that is sent to an attached neighbor) and allows an OSPF router to obtain a neighboring router’s database of network-wide link state.
Some of the advances embodied in OSPF include the following:
Security. Exchanges between OSPF routers (for example, link-state updates) can be authenticated. With authentication, only trusted routers can participate in the OSPF protocol within an AS, thus
preventing malicious intruders (or networking students taking their newfound knowledge out for a joyride) from injecting incorrect information into router tables. By default, OSPF packets between routers are not authenticated and could be forged. Two types of authentication can be configured—
simple and MD5 (see Chapter 8 for a discussion on MD5 and authentication in general). With simple authentication, the same password is configured on each router. When a router sends an OSPF
packet, it includes the password in plaintext. Clearly, simple authentication is not very secure. MD5 authentication is based on shared secret keys that are configured in all the routers. For each OSPF packet that it sends, the router computes the MD5 hash of the content of the OSPF packet
appended with the secret key. (See the discussion of message authentication codes in Chapter 8.) Then the router includes the resulting hash value in the OSPF packet. The receiving router, using
the preconfigured secret key, will compute an MD5 hash of the packet and compare it with the hash value that the packet carries, thus verifying the packet’s authenticity. Sequence numbers are also used with MD5 authentication to protect against replay attacks.
Multiple same-cost paths. When multiple paths to a destination have the same cost, OSPF allows multiple paths to be used (that is, a single path need not be chosen for carrying all traffic when
multiple equal-cost paths exist).
Integrated support for unicast and multicast routing. Multicast OSPF (MOSPF) [RFC 1584] provides simple extensions to OSPF to provide for multicast routing. MOSPF uses the existing
OSPF link database and adds a new type of link-state advertisement to the existing OSPF link-state broadcast mechanism.
Support for hierarchy within a single AS. An OSPF autonomous system can be configured hierarchically into areas. Each area runs its own OSPF link-state routing algorithm, with each router
in an area broadcasting its link state to all other routers in that area. Within each area, one or more
area border routers are responsible for routing packets outside the area. Lastly, exactly one OSPF area in the AS is configured to be the backbone area. The primary role of the backbone area is to route traffic between the other areas in the AS. The backbone always contains all area border routers in the AS and may contain non-border routers as well. Inter-area routing within the AS requires that the packet be first routed to an area border router (intra-area routing), then routed through the backbone to the area border router that is in the destination area, and then routed to the final destination.
OSPF is a relatively complex protocol, and our coverage here has been necessarily brief; [Huitema 1998; Moy 1998; RFC 2328] provide additional details.
5.4 Routing Among the ISPs: BGP
We just learned that OSPF is an example of an intra-AS routing protocol. When routing a packet between a source and destination within the same AS, the route the packet follows is entirely determined by the intra-AS routing protocol. However, to route a packet across multiple ASs, say from a smartphone in Timbuktu to a server in a datacenter in Silicon Valley, we need an inter-autonomous system routing protocol. Since an inter-AS routing protocol involves coordination among multiple ASs, communicating ASs must run the same inter-AS routing protocol. In fact, in the Internet, all ASs run the same inter-AS routing protocol, called the Border Gateway Protocol, more commonly known as BGP
[RFC 4271; Stewart 1999].
BGP is arguably the most important of all the Internet protocols (the only other contender would be the
IP protocol that we studied in Section 4.3), as it is the protocol that glues the thousands of ISPs in the Internet together. As we will soon see, BGP is a decentralized and asynchronous protocol in the vein of
distance-vector routing described in Section 5.2.2. Although BGP is a complex and challenging protocol, to understand the Internet on a deep level, we need to become familiar with its underpinnings
and operation. The time we devote to learning BGP will be well worth the effort.
5.4.1 The Role of BGP
To understand the responsibilities of BGP, consider an AS and an arbitrary router in that AS. Recall that every router has a forwarding table, which plays the central role in the process of forwarding arriving packets to outbound router links. As we have learned, for destinations that are within the same AS, the entries in the router’s forwarding table are determined by the AS’s intra-AS routing protocol. But what about destinations that are outside of the AS? This is precisely where BGP comes to the rescue.
In BGP, packets are not routed to a specific destination address, but instead to CIDRized prefixes, with each prefix representing a subnet or a collection of subnets. In the world of BGP, a destination may take the form 138.16.68/22, which for this example includes 1,024 IP addresses. Thus, a router’s forwarding
table will have entries of the form (x, I), where x is a prefix (such as 138.16.68/22) and I is an interface number for one of the router’s interfaces.
As an inter-AS routing protocol, BGP provides each router a means to:
1. Obtain prefix reachability information from neighboring ASs. In particular, BGP allows each
subnet to advertise its existence to the rest of the Internet. A subnet screams, “I exist and I am here,” and BGP makes sure that all the routers in the Internet know about this subnet. If it weren’t for BGP, each subnet would be an isolated island—alone, unknown and unreachable by the rest of the Internet.
2. Determine the “best” routes to the prefixes. A router may learn about two or more different routes to a specific prefix. To determine the best route, the router will locally run a BGP route-
selection procedure (using the prefix reachability information it obtained via neighboring routers). The best route will be determined based on policy as well as the reachability information.
Let us now delve into how BGP carries out these two tasks. ++++++++++++++++++++++++++++++++++++++++++++++++++++++++
5.4.2 Advertising BGP Route Information
Consider the network shown in Figure 5.8. As we can see, this simple network has three autonomous systems: AS1, AS2, and AS3. As shown, AS3 includes a subnet with prefix x. For each AS, each router
is either a gateway router or an internal router. A gateway router is a router on the edge of an AS that directly connects to one or more routers in other ASs. An internal router connects only to hosts and routers within its own AS. In AS1, for example, router 1c is a gateway router; routers 1a, 1b, and 1d are internal routers.
Let’s consider the task of advertising reachability information for prefix x to all of the routers shown in
Figure 5.8. At a high level, this is straightforward. First, AS3 sends a BGP message to AS2, saying that x exists and is in AS3; let’s denote this message as “AS3 x”. Then AS2 sends a BGP message to AS1,
saying that x exists and that you can get to x by first passing through AS2 and then going to AS3; let’s denote that message as “AS2 AS3 x”. In this manner, each of the autonomous systems will not only learn about the existence of x, but also learn about a path of autonomous systems that leads to x.
Although the discussion in the above paragraph about advertising BGP reachability information should get the general idea across, it is not precise in the sense that autonomous systems do not actually send messages to each other, but instead routers do. To understand this, let’s now re-examine the example
in Figure 5.8. In BGP,
Figure 5.8 Network with three autonomous systems. AS3 includes a subnet with prefix x
pairs of routers exchange routing information over semi-permanent TCP connections using port 179. Each such TCP connection, along with all the BGP messages sent over the connection, is called a BGP connection. Furthermore, a BGP connection that spans two ASs is called an external BGP (eBGP) connection, and a BGP session between routers in the same AS is called an internal BGP (iBGP)
connection. Examples of BGP connections for the network in Figure 5.8 are shown in Figure 5.9. There is typically one eBGP connection for each link that directly connects gateway routers in different ASs;
thus, in Figure 5.9, there is an eBGP connection between gateway routers 1c and 2a and an eBGP connection between gateway routers 2c and 3a.
There are also iBGP connections between routers within each of the ASs. In particular, Figure 5.9 displays a common configuration of one BGP connection for each pair of routers internal to an AS,
creating a mesh of TCP connections within each AS. In Figure 5.9, the eBGP connections are shown with the long dashes; the iBGP connections are shown with the short dashes. Note that iBGP
connections do not always correspond to physical links.
In order to propagate the reachability information, both iBGP and eBGP sessions are used. Consider again advertising the reachability information for prefix x to all routers in AS1 and AS2. In this process, gateway router 3a first sends an eBGP message “AS3 x” to gateway router 2c. Gateway router 2c then sends the iBGP message “AS3 x” to all of the other routers in AS2, including to gateway router 2a. Gateway router 2a then sends the eBGP message “AS2 AS3 x” to gateway router 1c.
Figure 5.9 eBGP and iBGP connections
Finally, gateway router 1c uses iBGP to send the message “AS2 AS3 x” to all the routers in AS1. After this process is complete, each router in AS1 and AS2 is aware of the existence of x and is also aware of an AS path that leads to x.
Of course, in a real network, from a given router there may be many different paths to a given destination, each through a different sequence of ASs. For example, consider the network in Figure
5.10, which is the original network in Figure 5.8, with an additional physical link from router 1d to router 3d. In this case, there are two paths from AS1 to x: the path “AS2 AS3 x” via router 1c; and the new path
“AS3 x” via the router 1d.
5.4.3 Determining the Best Routes
As we have just learned, there may be many paths from a given router to a destination subnet. In fact, in the Internet, routers often receive reachability information about dozens of different possible paths. How does a router choose among these paths (and then configure its forwarding table accordingly)?
Before addressing this critical question, we need to introduce a little more BGP terminology. When a router advertises a prefix across a BGP connection, it includes with the prefix several BGP attributes. In BGP jargon, a prefix along with its attributes is called a route. Two of the more important attributes are AS-PATH and NEXT-HOP. The AS-PATH attribute contains the list of ASs through which the
Figure 5.10 Network augmented with peering link between AS1 and AS3
advertisement has passed, as we’ve seen in our examples above. To generate the AS-PATH value, when a prefix is passed to an AS, the AS adds its ASN to the existing list in the AS-PATH. For example,
in Figure 5.10, there are two routes from AS1 to subnet x: one which uses the AS-PATH “AS2 AS3”; and another that uses the AS-PATH “A3”. BGP routers also use the AS-PATH attribute to detect and
prevent looping advertisements; specifically, if a router sees that its own AS is contained in the path list, it will reject the advertisement.
Providing the critical link between the inter-AS and intra-AS routing protocols, the NEXT-HOP attribute has a subtle but important use. The NEXT-HOP is the IP address of the router interface that begins the
AS-PATH. To gain insight into this attribute, let’s again refer to Figure 5.10. As indicated in Figure 5.10, the NEXT-HOP attribute for the route “AS2 AS3 x” from AS1 to x that passes through AS2 is the IP
address of the left interface on router 2a. The NEXT-HOP attribute for the route “AS3 x” from AS1 to x that bypasses AS2 is the IP address of the leftmost interface of router 3d. In summary, in this toy example, each router in AS1 becomes aware of two BGP routes to prefix x:
IP address of leftmost interface for router 2a; AS2 AS3; x
IP address of leftmost interface of router 3d; AS3; x
Here, each BGP route is written as a list with three components: NEXT-HOP; AS-PATH; destination prefix. In practice, a BGP route includes additional attributes, which we will ignore for the time being.
Note that the NEXT-HOP attribute is an IP address of a router that does not belong to AS1; however, the subnet that contains this IP address directly attaches to AS1.
Hot Potato Routing
We are now finally in position to talk about BGP routing algorithms in a precise manner. We will begin with one of the simplest routing algorithms, namely, hot potato routing.
Consider router 1b in the network in Figure 5.10. As just described, this router will learn about two possible BGP routes to prefix x. In hot potato routing, the route chosen (from among all possible routes)
is that route with the least cost to the NEXT-HOP router beginning that route. In this example, router 1b will consult its intra-AS routing information to find the least-cost intra-AS path to NEXT-HOP router 2a and the least-cost intra-AS path to NEXT-HOP router 3d, and then select the route with the smallest of these least-cost paths. For example, suppose that cost is defined as the number of links traversed. Then the least cost from router 1b to router 2a is 2, the least cost from router 1b to router 2d is 3, and router 2a would therefore be selected. Router 1b would then consult its forwarding table (configured by its
intra-AS algorithm) and find the interface I that is on the least-cost path to router 2a. It then adds (x, I) to its forwarding table.
The steps for adding an outside-AS prefix in a router’s forwarding table for hot potato routing are
summarized in Figure 5.11. It is important to note that when adding an outside-AS prefix into a forwarding table, both the inter-AS routing protocol (BGP) and the intra-AS routing protocol (e.g., OSPF)
are used.
The idea behind hot-potato routing is for router 1b to get packets out of its AS as quickly as possible (more specifically, with the least cost possible) without worrying about the cost of the remaining portions of the path outside of its AS to the destination. In the name “hot potato routing,” a packet is analogous to a hot potato that is burning in your hands. Because it is burning hot, you want to pass it off to another person (another AS) as quickly as possible. Hot potato routing is thus
Figure 5.11 Steps in adding outside-AS destination in a router’s forwarding table
a selfish algorithm—it tries to reduce the cost in its own AS while ignoring the other components of the end-to-end costs outside its AS. Note that with hot potato routing, two routers in the same AS may choose two different AS paths to the same prefix. For example, we just saw that router 1b would send packets through AS2 to reach x. However, router 1d would bypass AS2 and send packets directly to AS3 to reach x.
Route-Selection Algorithm
In practice, BGP uses an algorithm that is more complicated than hot potato routing, but nevertheless incorporates hot potato routing. For any given destination prefix, the input into BGP’s route-selection algorithm is the set of all routes to that prefix that have been learned and accepted by the router. If there is only one such route, then BGP obviously selects that route. If there are two or more routes to the same prefix, then BGP sequentially invokes the following elimination rules until one route remains:
1. A route is assigned a local preference value as one of its attributes (in addition to the AS-PATH and NEXT-HOP attributes). The local preference of a route could have been set by the router or
could have been learned from another router in the same AS. The value of the local preference attribute is a policy decision that is left entirely up to the AS’s network administrator. (We will shortly discuss BGP policy issues in some detail.) The routes with the highest local preference values are selected.
2. From the remaining routes (all with the same highest local preference value), the route with the shortest AS-PATH is selected. If this rule were the only rule for route selection, then BGP would
be using a DV algorithm for path determination, where the distance metric uses the number of AS hops rather than the number of router hops.
3. From the remaining routes (all with the same highest local preference value and the same AS- PATH length), hot potato routing is used, that is, the route with the closest NEXT-HOP router is
selected.
4. If more than one route still remains, the router uses BGP identifiers to select the route; see
[Stewart 1999].
As an example, let’s again consider router 1b in Figure 5.10. Recall that there are exactly two BGP
routes to prefix x, one that passes through AS2 and one that bypasses AS2. Also recall that if hot potato routing on its own were used, then BGP would route packets through AS2 to prefix x. But in the above route-selection algorithm, rule 2 is applied before rule 3, causing BGP to select the route that bypasses AS2, since that route has a shorter AS PATH. So we see that with the above route-selection algorithm, BGP is no longer a selfish algorithm—it first looks for routes with short AS paths (thereby likely reducing end-to-end delay).
As noted above, BGP is the de facto standard for inter-AS routing for the Internet. To see the contents of various BGP routing tables (large!) extracted from routers in tier-1 ISPs, see http://
www.routeviews.org. BGP routing tables often contain over half a million routes (that is, prefixes and corresponding attributes). Statistics about the size and characteristics of BGP routing tables are
presented in [Potaroo 2016]. 5.4.4 IP-Anycast
In addition to being the Internet’s inter-AS routing protocol, BGP is often used to implement the IP-
anycast service [RFC 1546, RFC 7094], which is commonly used in DNS. To motivate IP-anycast, consider that in many applications, we are interested in (1) replicating the same content on different
servers in many different dispersed geographical locations, and (2) having each user access the content from the server that is closest. For example, a CDN may replicate videos and other objects on servers in different countries. Similarly, the DNS system can replicate DNS records on DNS servers throughout the world. When a user wants to access this replicated content, it is desirable to point the user to the “nearest” server with the replicated content. BGP’s route-selection algorithm provides an easy and natural mechanism for doing so.
To make our discussion concrete, let’s describe how a CDN might use IP-anycast. As shown in Figure 5.12, during the IP-anycast configuration stage, the CDN company assigns the same IP address to each
of its servers, and uses standard BGP to advertise this IP address from each of the servers. When a BGP router receives multiple route advertisements for this IP address, it treats these advertisements as providing different paths to the same physical location (when, in fact, the advertisements are for different paths to different physical locations). When configuring its routing table, each router will locally use the BGP route-selection algorithm to pick the “best” (for example, closest, as determined by AS-hop counts) route to that IP address. For example, if one BGP route (corresponding to one location) is only one AS hop away from the router, and all other BGP routes (corresponding to other locations) are two or more AS hops away, then the BGP router would choose to route packets to the location that is one hop away. After this initial BGP address-advertisement phase, the CDN can do its main job of distributing content. When a client requests the video, the CDN returns to the client the common IP address used by the geographically dispersed servers, no matter where the client is located. When the client sends a request to that IP address, Internet routers then forward the request packet to the “closest” server, as defined by the BGP route-selection algorithm.
Although the above CDN example nicely illustrates how IP-anycast can be used, in practice CDNs generally choose not to use IP-anycast because BGP routing changes can result in different packets of the same TCP connection arriving at different instances of the Web server. But IP-anycast is extensively
used by the DNS system to direct DNS queries to the closest root DNS server. Recall from Section 2.4, there are currently 13 IP addresses for root DNS servers. But corresponding
Figure 5.12 Using IP-anycast to bring users to the closest CDN server
to each of these addresses, there are multiple DNS root servers, with some of these addresses having over 100 DNS root servers scattered over all corners of the world. When a DNS query is sent to one of these 13 IP addresses, IP anycast is used to route the query to the nearest of the DNS root servers that is responsible for that address.
5.4.5 Routing Policy
When a router selects a route to a destination, the AS routing policy can trump all other considerations, such as shortest AS path or hot potato routing. Indeed, in the route-selection algorithm, routes are first selected according to the local-preference attribute, whose value is fixed by the policy of the local AS.
Let’s illustrate some of the basic concepts of BGP routing policy with a simple example. Figure 5.13 shows six interconnected autonomous systems: A, B, C, W, X, and Y. It is important to note that A, B, C,
W, X, and Y are ASs, not routers. Let’s
Figure 5.13 A simple BGP policy scenario
assume that autonomous systems W, X, and Y are access ISPs and that A, B, and C are backbone provider networks. We’ll also assume that A, B, and C, directly send traffic to each other, and provide full BGP information to their customer networks. All traffic entering an ISP access network must be destined for that network, and all traffic leaving an ISP access network must have originated in that network. W and Y are clearly access ISPs. X is a multi-homed access ISP, since it is connected to the rest of the network via two different providers (a scenario that is becoming increasingly common in practice). However, like W and Y, X itself must be the source/destination of all traffic leaving/entering X. But how will this stub network behavior be implemented and enforced? How will X be prevented from forwarding traffic between B and C? This can easily be accomplished by controlling the manner in which BGP routes are advertised. In particular X will function as an access ISP network if it advertises (to its neighbors B and C) that it has no paths to any other destinations except itself. That is, even though X may know of a path, say XCY, that reaches network Y, it will not advertise this path to B. Since B is unaware that X has a path to Y, B would never forward traffic destined to Y (or C) via X. This simple example illustrates how a selective route advertisement policy can be used to implement customer/provider routing relationships.
Let’s next focus on a provider network, say AS B. Suppose that B has learned (from A) that A has a path AW to W. B can thus install the route AW into its routing information base. Clearly, B also wants to advertise the path BAW to its customer, X, so that X knows that it can route to W via B. But should B advertise the path BAW to C? If it does so, then C could route traffic to W via BAW. If A, B, and C are all backbone providers, than B might rightly feel that it should not have to shoulder the burden (and cost!) of carrying transit traffic between A and C. B might rightly feel that it is A’s and C’s job (and cost!) to make sure that C can route to/from A’s customers via a direct connection between A and C. There are currently no official standards that govern how backbone ISPs route among themselves. However, a rule of thumb followed by commercial ISPs is that any traffic flowing across an ISP’s backbone network must have either a source or a destination (or both) in a network that is a customer of that ISP; otherwise the traffic would be getting a free ride on the ISP’s network. Individual peering agreements (that would govern questions such as
PRINCIPLES IN PRACTICE
WHY ARE THERE DIFFERENT INTER-AS AND INTRA-AS ROUTING PROTOCOLS?
Having now studied the details of specific inter-AS and intra-AS routing protocols deployed in today’s Internet, let’s conclude by considering perhaps the most fundamental question we could ask about these protocols in the first place (hopefully, you have been wondering this all along, and have not lost the forest for the trees!): Why are different inter-AS and intra-AS routing protocols used?
The answer to this question gets at the heart of the differences between the goals of routing within an AS and among ASs:
Policy. Among ASs, policy issues dominate. It may well be important that traffic originating in a given AS not be able to pass through another specific AS. Similarly, a given AS may well
want to control what transit traffic it carries between other ASs. We have seen that BGP carries path attributes and provides for controlled distribution of routing information so that such policy-based routing decisions can be made. Within an AS, everything is nominally under the same administrative control, and thus policy issues play a much less important role in choosing routes within the AS.
Scale. The ability of a routing algorithm and its data structures to scale to handle routing to/among large numbers of networks is a critical issue in inter-AS routing. Within an AS,
scalability is less of a concern. For one thing, if a single ISP becomes too large, it is always possible to divide it into two ASs and perform inter-AS routing between the two new ASs. (Recall that OSPF allows such a hierarchy to be built by splitting an AS into areas.)
Performance. Because inter-AS routing is so policy oriented, the quality (for example, performance) of the routes used is often of secondary concern (that is, a longer or more
costly route that satisfies certain policy criteria may well be taken over a route that is shorter but does not meet that criteria). Indeed, we saw that among ASs, there is not even the notion of cost (other than AS hop count) associated with routes. Within a single AS, however, such policy concerns are of less importance, allowing routing to focus more on the level of performance realized on a route.
those raised above) are typically negotiated between pairs of ISPs and are often confidential; [Huston 1999a] provides an interesting discussion of peering agreements. For a detailed description of how routing policy reflects commercial relationships among ISPs, see [Gao 2001; Dmitiropoulos 2007]. For a discussion of BGP routing polices from an ISP standpoint, see [Caesar 2005b].
This completes our brief introduction to BGP. Understanding BGP is important because it plays a central role in the Internet. We encourage you to see the references [Griffin 2012; Stewart 1999; Labovitz
1997; Halabi 2000; Huitema 1998; Gao 2001; Feamster 2004; Caesar 2005b; Li 2007] to learn more about BGP.
5.4.6 Putting the Pieces Together: Obtaining Internet Presence
Although this subsection is not about BGP per se, it brings together many of the protocols and concepts we’ve seen thus far, including IP addressing, DNS, and BGP.
Suppose you have just created a small company that has a number of servers, including a public Web server that describes your company’s products and services, a mail server from which your employees obtain their e-mail messages, and a DNS server. Naturally, you would like the entire world to be able to visit your Web site in order to learn about your exciting products and services. Moreover, you would like your employees to be able to send and receive e-mail to potential customers throughout the world.
To meet these goals, you first need to obtain Internet connectivity, which is done by contracting with, and connecting to, a local ISP. Your company will have a gateway router, which will be connected to a router in your local ISP. This connection might be a DSL connection through the existing telephone infrastructure, a leased line to the ISP’s router, or one of the many other access solutions described in
Chapter 1. Your local ISP will also provide you with an IP address range, e.g., a /24 address range consisting of 256 addresses. Once you have your physical connectivity and your IP address range, you
will assign one of the IP addresses (in your address range) to your Web server, one to your mail server, one to your DNS server, one to your gateway router, and other IP addresses to other servers and networking devices in your company’s network.
In addition to contracting with an ISP, you will also need to contract with an Internet registrar to obtain a domain name for your company, as described in Chapter 2. For example, if your company’s name is,
say, Xanadu Inc., you will naturally try to obtain the domain name xanadu.com. Your company must also obtain presence in the DNS system. Specifically, because outsiders will want to contact your DNS
server to obtain the IP addresses of your servers, you will also need to provide your registrar with the IP address of your DNS server. Your registrar will then put an entry for your DNS server (domain name and
corresponding IP address) in the .com top-level-domain servers, as described in Chapter 2. After this step is completed, any user who knows your domain name (e.g., xanadu.com) will be able to obtain the
IP address of your DNS server via the DNS system.
So that people can discover the IP addresses of your Web server, in your DNS server you will need to
include entries that map the host name of your Web server (e.g., www.xanadu.com) to its IP address. You will want to have similar entries for other publicly available servers in your company, including your
mail server. In this manner, if Alice wants to browse your Web server, the DNS system will contact your DNS server, find the IP address of your Web server, and give it to Alice. Alice can then establish a TCP connection directly with your Web server.
However, there still remains one other necessary and crucial step to allow outsiders from around the
world to access your Web server. Consider what happens when Alice, who knows the IP address of your Web server, sends an IP datagram (e.g., a TCP SYN segment) to that IP address. This datagram will be routed through the Internet, visiting a series of routers in many different ASs, and eventually reach your Web server. When any one of the routers receives the datagram, it is going to look for an entry in its forwarding table to determine on which outgoing port it should forward the datagram. Therefore, each of the routers needs to know about the existence of your company’s /24 prefix (or some aggregate entry). How does a router become aware of your company’s prefix? As we have just seen, it becomes aware of it from BGP! Specifically, when your company contracts with a local ISP and gets assigned a prefix (i.e., an address range), your local ISP will use BGP to advertise your prefix to the ISPs to which it connects. Those ISPs will then, in turn, use BGP to propagate the advertisement. Eventually, all Internet routers will know about your prefix (or about some aggregate that includes your prefix) and thus be able to appropriately forward datagrams destined to your Web and mail servers.
5.5 The SDN Control Plane
In this section, we’ll dive into the SDN control plane—the network-wide logic that controls packet forwarding among a network’s SDN-enabled devices, as well as the configuration and management of these devices and their services. Our study here builds on our earlier discussion of generalized SDN
forwarding in Section 4.4, so you might want to first review that section, as well as Section 5.1 of this chapter, before continuing on. As in Section 4.4, we’ll again adopt the terminology used in the SDN
literature and refer to the network’s forwarding devices as “packet switches” (or just switches, with “packet” being understood), since forwarding decisions can be made on the basis of network-layer source/destination addresses, link-layer source/destination addresses, as well as many other values in transport-, network-, and link-layer packet-header fields.
Four key characteristics of an SDN architecture can be identified [Kreutz 2015]:
Flow-based forwarding. Packet forwarding by SDN-controlled switches can be based on any
number of header field values in the transport-layer, network-layer, or link-layer header. We saw in
Section 4.4 that the OpenFlow1.0 abstraction allows forwarding based on eleven different header field values. This contrasts sharply with the traditional approach to router-based forwarding that we
studied in Sections 5.2–5.4, where forwarding of IP datagrams was based solely on a datagram’s destination IP address. Recall from Figure 5.2 that packet forwarding rules are specified in a
switch’s flow table; it is the job of the SDN control plane to compute, manage and install flow table entries in all of the network’s switches.
Separation of data plane and control plane. This separation is shown clearly in Figures 5.2 and 5.14. The data plane consists of the network’s switches— relatively simple (but fast) devices that
execute the “match plus action” rules in their flow tables. The control plane consists of servers and software that determine and manage the switches’ flow tables.
Network control functions: external to data-plane switches. Given that the “S” in SDN is for “software,” it’s perhaps not surprising that the SDN control plane is implemented in software. Unlike
traditional routers, however, this software executes on servers that are both distinct and remote from the network’s switches. As shown in Figure 5.14, the control plane itself consists of two components
—an SDN controller (or network operating system [Gude 2008]) and a set of network-control applications. The controller maintains accurate network state information (e.g., the state of remote
links, switches, and hosts); provides this information to the network-control applications running in the control plane; and provides the means through which these applications can monitor, program,
and control the underlying network devices. Although the controller in Figure 5.14 is shown as a single central server, in practice the controller is only logically centralized; it is typically implemented
on several servers that provide coordinated, scalable performance and high availability.
A programmable network. The network is programmable through the network-control applications running in the control plane. These applications represent the “brains” of the SDN control plane,
using the APIs provided by the SDN controller to specify and control the data plane in the network devices. For example, a routing network-control application might determine the end-end paths between sources and destinations (e.g., by executing Dijkstra’s algorithm using the node-state and link-state information maintained by the SDN controller). Another network application might perform access control, i.e., determine which packets are to be blocked at a switch, as in our third example in
Section 4.4.3. Yet another application might forward packets in a manner that performs server load balancing (the second example we considered in Section 4.4.3).
From this discussion, we can see that SDN represents a significant “unbundling” of network functionality —data plane switches, SDN controllers, and network-control applications are separate entities that may each be provided by different vendors and organizations. This contrasts with the pre-SDN model in which a switch/router (together with its embedded control plane software and protocol implementations) was monolithic, vertically integrated, and sold by a single vendor. This unbundling of network functionality in SDN has been likened to the earlier evolution from mainframe computers (where hardware, system software, and applications were provided by a single vendor) to personal computers (with their separate hardware, operating systems, and applications). The unbundling of computing hardware, system software, and applications has arguably led to a rich, open ecosystem driven by innovation in all three of these areas; one hope for SDN is that it too will lead to a such rich innovation.
Given our understanding of the SDN architecture of Figure 5.14, many questions naturally arise. How and where are the flow tables actually computed? How are these tables updated in response to events
at SDN-controlled devices (e.g., an attached link going up/down)? And how are the flow table entries at multiple switches coordinated in such a way as to result in orchestrated and consistent network-wide functionality (e.g., end-to-end paths for forwarding packets from sources to destinations, or coordinated distributed firewalls)? It is the role of the SDN control plane to provide these, and many other, capabilities.
Figure 5.14 Components of the SDN architecture: SDN-controlled switches, the SDN controller, network-control applications
5.5.2 The SDN Control Plane: SDN Controller and SDN Network-control Applications
Let’s begin our discussion of the SDN control plane in the abstract, by considering the generic capabilities that the control plane must provide. As we’ll see, this abstract, “first principles” approach will lead us to an overall architecture that reflects how SDN control planes have been implemented in practice.
As noted above, the SDN control plane divides broadly into two components—the SDN controller and the SDN network-control applications. Let’s explore the controller first. Many SDN controllers have been
developed since the earliest SDN controller [Gude 2008]; see [Kreutz 2015] for an extremely thorough and up-to-date survey. Figure 5.15 provides a more detailed view of a generic SDN controller. A
controller’s functionality can be broadly organized into three layers. Let’s consider these layers in an uncharacteristically bottom-up fashion:
A communication layer: communicating between the SDN controller and controlled network devices. Clearly, if an SDN controller is going to control the operation of a remote SDN-enabled
switch, host, or other device, a protocol is needed to transfer information between the controller and that device. In addition, a device must be able to communicate locally-observed events to the controller (e.g., a message indicating that an attached link has gone up or down, that a device has just joined the network, or a heartbeat indicating that a device is up and operational). These events provide the SDN controller with an up-to-date view of the network’s state. This protocol constitutes
the lowest layer of the controller architecture, as shown in Figure 5.15. The communication between the controller and the controlled devices cross what has come to be known as the controller’s
“southbound” interface. In Section 5.5.2, we’ll study OpenFlow—a specific protocol that provides this communication functionality. OpenFlow is implemented in most, if not all, SDN controllers.
A network-wide state-management layer. The ultimate control decisions made by the SDN control plane—e.g., configuring flow tables in all switches to achieve the desired end-end forwarding, to
implement load balancing, or to implement a particular firewalling capability—will require that the controller have up-to-date information about state of the networks’ hosts, links, switches, and other SDN-controlled devices. A switch’s flow table contains counters whose values might also be profitably used by network-control applications; these values should thus be available to the applications. Since the ultimate aim of the control plane is to determine flow tables for the various controlled devices, a controller might also maintain a copy of these tables. These pieces of information all constitute examples of the network-wide “state” maintained by the SDN controller.
The interface to the network-control application layer. The controller interacts with network- control applications through its “northbound” interface. This API
Figure 5.15 Components of an SDN controller
allows network-control applications to read/write network state and flow tables within the state- management layer. Applications can register to be notified when state-change events occur, so that they can take actions in response to network event notifications sent from SDN-controlled devices. Different types of APIs may be provided; we’ll see that two popular SDN controllers communicate
with their applications using a REST [Fielding 2000] request-response interface.
We have noted several times that an SDN controller can be considered to be “logically centralized,” i.e., that the controller may be viewed externally (e.g., from the point of view of SDN-controlled devices and external network-control applications) as a single, monolithic service. However, these services and
the databases used to hold state information are implemented in practice by a distributed set of servers for fault tolerance, high availability, or for performance reasons. With controller functions being
implemented by a set of servers, the semantics of the controller’s internal operations (e.g., maintaining logical time ordering of events, consistency, consensus, and more) must be considered [Panda 2013].
Such concerns are common across many different distributed systems; see [Lamport 1989, Lampson 1996] for elegant solutions to these challenges. Modern controllers such as OpenDaylight
[OpenDaylight Lithium 2016] and ONOS [ONOS 2016] (see sidebar) have placed considerable emphasis on architecting a logically centralized but physically distributed controller platform that
provides scalable services and high availability to the controlled devices and network-control applications alike.
The architecture depicted in Figure 5.15 closely resembles the architecture of the originally proposed
NOX controller in 2008 [Gude 2008], as well as that of today’s OpenDaylight [OpenDaylight Lithium
2016] and ONOS [ONOS 2016] SDN controllers (see sidebar). We’ll cover an example of controller
operation in Section 5.5.3. First, however, let’s examine the OpenFlow protocol, which lies in the controller’s communication layer.
5.5.2 OpenFlow Protocol
The OpenFlow protocol [OpenFlow 2009, ONF 2016] operates between an SDN controller and an SDN-controlled switch or other device implementing the OpenFlow API that we studied earlier in
Section 4.4. The OpenFlow protocol operates over TCP, with a default port number of 6653. Among the important messages flowing from the controller to the controlled switch are the following:
Configuration. This message allows the controller to query and set a switch’s configuration parameters.
Modify-State. This message is used by a controller to add/delete or modify entries in the switch’s flow table, and to set switch port properties.
Read-State. This message is used by a controller to collect statistics and counter values from the switch’s flow table and ports.
Send-Packet. This message is used by the controller to send a specific packet out of a specified port at the controlled switch. The message itself contains the packet to be sent in its payload.
Among the messages flowing from the SDN-controlled switch to the controller are the following:
Flow-Removed. This message informs the controller that a flow table entry has been removed, for
example by a timeout or as the result of a received modify-state message.
Port-status. This message is used by a switch to inform the controller of a change in port status.
Packet-in. Recall from Section 4.4 that a packet arriving at a switch port and not matching any flow table entry is sent to the controller for additional processing. Matched packets may also be sent to
the controller, as an action to be taken on a match. The packet-in message is used to send such packets to the controller.
Additional OpenFlow messages are defined in [OpenFlow 2009, ONF 2016]. Principles in Practice
Google’s Software-Defined Global Network
Recall from the case study in Section 2.6 that Google deploys a dedicated wide-area network (WAN) that interconnects its data centers and server clusters (in IXPs and ISPs). This network,
called B4, has a Google-designed SDN control plane built on OpenFlow. Google’s network is able to drive WAN links at near 70% utilization over the long run (a two to three fold increase over typical link utilizations) and split application flows among multiple paths based on
application priority and existing flow demands [Jain 2013].
The Google B4 network is particularly it well-suited for SDN: (i) Google controls all devices from
the edge servers in IXPs and ISPs to routers in their network core; (ii) the most bandwidth- intensive applications are large-scale data copies between sites that can defer to higher-priority
interactive applications during times of resource congestion; (iii) with only a few dozen data centers being connected, centralized control is feasible.
Google’s B4 network uses custom-built switches, each implementing a slightly extended version of OpenFlow, with a local Open Flow Agent (OFA) that is similar in spirit to the control agent we
encountered in Figure 5.2. Each OFA in turn connects to an Open Flow Controller (OFC) in the network control server (NCS), using a separate “out of band” network, distinct from the network
that carries data-center traffic between data centers. The OFC thus provides the services used by the NCS to communicate with its controlled switches, similar in spirit to the lowest layer in the
SDN architecture shown in Figure 5.15. In B4, the OFC also performs state management functions, keeping node and link status in a Network Information Base (NIB). Google’s
implementation of the OFC is based on the ONIX SDN controller [Koponen 2010]. Two routing protocols, BGP (for routing between the data centers) and IS-IS (a close relative of OSPF, for
routing within a data center), are implemented. Paxos [Chandra 2007] is used to execute hot replicas of NCS components to protect against failure.
A traffic engineering network-control application, sitting logically above the set of network control servers, interacts with these servers to provide global, network-wide bandwidth provisioning for groups of application flows. With B4, SDN made an important leap forward into the operational
networks of a global network provider. See [Jain 2013] for a detailed description of B4.
5.5.3 Data and Control Plane Interaction: An Example
In order to solidify our understanding of the interaction between SDN-controlled switches and the SDN
controller, let’s consider the example shown in Figure 5.16, in which Dijkstra’s algorithm (which we studied in Section 5.2) is used to determine shortest path routes. The SDN scenario in Figure 5.16 has
two important differences from the earlier per-router-control scenario of Sections 5.2.1 and 5.3, where Dijkstra’s algorithm was implemented in each and every router and link-state updates were flooded
among all network routers:
Dijkstra’s algorithm is executed as a separate application, outside of the packet switches. Packet switches send link updates to the SDN controller and not to each other.
In this example, let’s assume that the link between switch s1 and s2 goes down; that shortest path routing is implemented, and consequently and that incoming and outgoing flow forwarding rules at s1, s3, and s4 are affected, but that s2’s
Figure 5.16 SDN controller scenario: Link-state change
operation is unchanged. Let’s also assume that OpenFlow is used as the communication layer protocol, and that the control plane performs no other function other than link-state routing.
1. Switch s1, experiencing a link failure between itself and s2, notifies the SDN controller of the link-state change using the OpenFlow port-status message.
2. The SDN controller receives the OpenFlow message indicating the link-state change, and notifies the link-state manager, which updates a link-state database.
3. The network-control application that implements Dijkstra’s link-state routing has previously registered to be notified when link state changes. That application receives the notification of the
link-state change.
4. The link-state routing application interacts with the link-state manager to get updated link state; it might also consult other components in the state-management layer. It then computes the new
least-cost paths.
5. The link-state routing application then interacts with the flow table manager, which determines the flow tables to be updated.
6. The flow table manager then uses the OpenFlow protocol to update flow table entries at affected switches—s1 (which will now route packets destined to s2 via s4), s2 (which will now begin
receiving packets from s1 via intermediate switch s4), and s4 (which must now forward packets from s1 destined to s2).
This example is simple but illustrates how the SDN control plane provides control-plane services (in this case network-layer routing) that had been previously implemented with per-router control exercised in each and every network router. One can now easily appreciate how an SDN-enabled ISP could easily switch from least-cost path routing to a more hand-tailored approach to routing. Indeed, since the
controller can tailor the flow tables as it pleases, it can implement any form of forwarding that it pleases —simply by changing its application-control software. This ease of change should be contrasted to the
case of a traditional per-router control plane, where software in all routers (which might be provided to the ISP by multiple independent vendors) must be changed.
5.5.4 SDN: Past and Future
Although the intense interest in SDN is a relatively recent phenomenon, the technical roots of SDN, and the separation of the data and control planes in particular, go back considerably further. In 2004,
[Feamster 2004, Lakshman 2004, RFC 3746] all argued for the separation of the network’s data and control planes. [van der Merwe 1998] describes a control framework for ATM networks [Black 1995]
with multiple controllers, each controlling a number of ATM switches. The Ethane project [Casado 2007] pioneered the notion of a network of simple flow-based Ethernet switches with match-plus-action flow
tables, a centralized controller that managed flow admission and routing, and the forwarding of unmatched packets from the switch to the controller. A network of more than 300 Ethane switches was operational in 2007. Ethane quickly evolved into the OpenFlow project, and the rest (as the saying goes) is history!
Numerous research efforts are aimed at developing future SDN architectures and capabilities. As we have seen, the SDN revolution is leading to the disruptive replacement of dedicated monolithic switches and routers (with both data and control planes) by simple commodity switching hardware and a sophisticated software control plane. A generalization of SDN known as network functions virtualization (NFV) similarly aims at disruptive replacement of sophisticated middleboxes (such as middleboxes with dedicated hardware and proprietary software for media caching/service) with simple commodity servers,
switching, and storage [Gember-Jacobson 2014]. A second area of important research seeks to extend SDN concepts from the intra-AS setting to the inter-AS setting [Gupta 2014].
PRINCIPLES IN PRACTICE
SDN Controller Case Studies: The OpenDaylight and ONOS Controllers
In the earliest days of SDN, there was a single SDN protocol (OpenFlow [McKeown 2008;
OpenFlow 2009]) and a single SDN controller (NOX [Gude 2008]). Since then, the number of
SDN controllers in particular has grown significantly [Kreutz 2015]. Some SDN controllers are
company-specific and proprietary, e.g., ONIX [Koponen 2010], Juniper Networks Contrail
[Juniper Contrail 2016], and Google’s controller [Jain 2013] for its B4 wide-area network. But many more controllers are open-source and implemented in a variety of programming languages
[Erickson 2013]. Most recently, the OpenDaylight controller [OpenDaylight Lithium 2016] and the ONOS controller [ONOS 2016] have found considerable industry support. They are both
open-source and are being developed in partnership with the Linux Foundation.
The OpenDaylight Controller
Figure 5.17 presents a simplified view of the OpenDaylight Lithium SDN controller platform [OpenDaylight Lithium 2016]. ODL’s main set of controller components correspond closely to those we developed in Figure 5.15.
Network-Service Applications are the applications that determine how data-plane forwarding and other services, such as firewalling and load balancing, are accomplished in the controlled
switches. Unlike the canonical controller in Figure 5.15, the ODL controller has two interfaces through which applications may communicate with native controller services and each other:
external applications communicate with controller modules using a REST request-response API running over HTTP. Internal applications communicate with each other via the Service Abstraction Layer (SAL). The choice as to whether a controller application is implemented externally or internally is up to the application designer;
Figure 5.17 The OpenDaylight controller
the particular configuration of applications shown in Figure 5.17 is only meant as an example. ODL’s Basic Network-Service Functions are at the heart of the controller, and they correspond
closely to the network-wide state management capabilities that we encountered in Figure 5.15. The SAL is the controller’s nerve center, allowing controller components and applications to
invoke each other’s services and to subscribe to events they generate. It also provides a uniform
abstract interface to the specific underlying communications protocols in the communication layer, including OpenFlow and SNMP (the Simple Network Management Protocol—a network
management protocol that we will cover in Section 5.7). OVSDB is a protocol used to manage data center switching, an important application area for SDN technology. We’ll introduce data
center networking in Chapter 6.
Figure 5.18 ONOS controller architecture
The ONOS Controller
Figure 5.18 presents a simplified view of the ONOS controller ONOS 2016]. Similar to the canonical controller in Figure 5.15, three layers can be identified in the ONOS controller:
Northbound abstractions and protocols. A unique feature of ONOS is its intent framework, which allows an application to request a high-level service (e.g., to setup a
connection between host A and Host B, or conversely to not allow Host A and host B to communicate) without having to know the details of how this service is performed. State information is provided to network-control applications across the northbound API either synchronously (via query) or asynchronously (via listener callbacks, e.g., when network state changes).
Distributed core. The state of the network’s links, hosts, and devices is maintained in ONOS’s distributed core. ONOS is deployed as a service on a set of interconnected servers,
with each server running an identical copy of the ONOS software; an increased number of servers offers an increased service capacity. The ONOS core provides the mechanisms for service replication and coordination among instances, providing the applications above and the network devices below with the abstraction of logically centralized core services.
Southbound abstractions and protocols. The southbound abstractions mask the heterogeneity of the underlying hosts, links, switches, and protocols, allowing the distributed
core to be both device and protocol agnostic. Because of this abstraction, the southbound interface below the distributed core is logically higher than in our canonical controller in
Figure 5.14 or the ODL controller in Figure 5.17.
5.6 ICMP: The Internet Control Message Protocol
The Internet Control Message Protocol (ICMP), specified in [RFC 792], is used by hosts and routers to communicate network-layer information to each other. The most typical use of ICMP is for error
reporting. For example, when running an HTTP session, you may have encountered an error message such as “Destination network unreachable.” This message had its origins in ICMP. At some point, an IP router was unable to find a path to the host specified in your HTTP request. That router created and sent an ICMP message to your host indicating the error.
ICMP is often considered part of IP, but architecturally it lies just above IP, as ICMP messages are carried inside IP datagrams. That is, ICMP messages are carried as IP payload, just as TCP or UDP segments are carried as IP payload. Similarly, when a host receives an IP datagram with ICMP specified as the upper-layer protocol (an upper-layer protocol number of 1), it demultiplexes the datagram’s contents to ICMP, just as it would demultiplex a datagram’s content to TCP or UDP.
ICMP messages have a type and a code field, and contain the header and the first 8 bytes of the IP datagram that caused the ICMP message to be generated in the first place (so that the sender can
determine the datagram that caused the error). Selected ICMP message types are shown in Figure 5.19. Note that ICMP messages are used not only for signaling error conditions.
The well-known ping program sends an ICMP type 8 code 0 message to the specified host. The destination host, seeing the echo request, sends back a type 0 code 0 ICMP echo reply. Most TCP/IP implementations support the ping server directly in the operating system; that is, the server is not a
process. Chapter 11 of [Stevens 1990] provides the source code for the ping client program. Note that the client program needs to be able to instruct the operating system to generate an ICMP message of
type 8 code 0.
Another interesting ICMP message is the source quench message. This message is seldom used in practice. Its original purpose was to perform congestion control—to allow a congested router to send an ICMP source quench message to a host to force
Figure 5.19 ICMP message types
that host to reduce its transmission rate. We have seen in Chapter 3 that TCP has its own congestion- control mechanism that operates at the transport layer, without the use of network-layer feedback such
as the ICMP source quench message.
In Chapter 1 we introduced the Traceroute program, which allows us to trace a route from a host to any other host in the world. Interestingly, Traceroute is implemented with ICMP messages. To determine the
names and addresses of the routers between source and destination, Traceroute in the source sends a series of ordinary IP datagrams to the destination. Each of these datagrams carries a UDP segment with an unlikely UDP port number. The first of these datagrams has a TTL of 1, the second of 2, the third of
3, and so on. The source also starts timers for each of the datagrams. When the nth datagram arrives at the nth router, the nth router observes that the TTL of the datagram has just expired. According to the
rules of the IP protocol, the router discards the datagram and sends an ICMP warning message to the source (type 11 code 0). This warning message includes the name of the router and its IP address. When this ICMP message arrives back at the source, the source obtains the round-trip time from the
timer and the name and IP address of the nth router from the ICMP message.
How does a Traceroute source know when to stop sending UDP segments? Recall that the source increments the TTL field for each datagram it sends. Thus, one of the datagrams will eventually make it all the way to the destination host. Because this datagram contains a UDP segment with an unlikely port
number, the destination host sends a port unreachable ICMP message (type 3 code 3) back to the source. When the source host receives this particular ICMP message, it knows it does not need to send additional probe packets. (The standard Traceroute program actually sends sets of three packets with the same TTL; thus the Traceroute output provides three results for each TTL.)
In this manner, the source host learns the number and the identities of routers that lie between it and the destination host and the round-trip time between the two hosts. Note that the Traceroute client program must be able to instruct the operating system to generate UDP datagrams with specific TTL values and must also be able to be notified by its operating system when ICMP messages arrive. Now that you understand how Traceroute works, you may want to go back and play with it some more.
A new version of ICMP has been defined for IPv6 in RFC 4443. In addition to reorganizing the existing ICMP type and code definitions, ICMPv6 also added new types and codes required by the new IPv6 functionality. These include the “Packet Too Big” type and an “unrecognized IPv6 options” error code.
5.7 Network Management and SNMP
Having now made our way to the end of our study of the network layer, with only the link-layer before us, we’re well aware that a network consists of many complex, interacting pieces of hardware and software —from the links, switches, routers, hosts, and other devices that comprise the physical components of the network to the many protocols that control and coordinate these devices. When hundreds or thousands of such components are brought together by an organization to form a network, the job of the
network administrator to keep the network “up and running” is surely a challenge. We saw in Section 5.5 that the logically centralized controller can help with this process in an SDN context. But the
challenge of network management has been around long before SDN, with a rich set of network management tools and approaches that help the network administrator monitor, manage, and control the network. We’ll study these tools and techniques in this section.
An often-asked question is “What is network management?” A well-conceived, single-sentence (albeit a rather long run-on sentence) definition of network management from [Saydam 1996] is:
Network management includes the deployment, integration, and coordination of the hardware, software, and human elements to monitor, test, poll, configure, analyze, evaluate, and control the network and element resources to meet the real-time, operational performance, and Quality of Service requirements at a reasonable cost.
Given this broad definition, we’ll cover only the rudiments of network management in this section—the architecture, protocols, and information base used by a network administrator in performing their task. We’ll not cover the administrator’s decision-making processes, where topics such as fault identification
[Labovitz 1997; Steinder 2002; Feamster 2005; Wu 2005; Teixeira 2006], anomaly detection [Lakhina 2005; Barford 2009], network design/engineering to meet contracted Service Level
Agreements (SLA’s) [Huston 1999a], and more come into consideration. Our focus is thus purposefully narrow; the interested reader should consult these references, the excellent network-management text
by Subramanian [Subramanian 2000], and the more detailed treatment of network management available on the Web site for this text.
5.7.1 The Network Management Framework
Figure 5.20 shows the key components of network management:
The managing server is an application, typically with a human in the loop, running in a centralized network management station in the network operations center (NOC). The managing server is the
locus of activity for network management; it controls the collection, processing, analysis, and/or display of network management information. It is here that actions are initiated to control network behavior and here that the human network administrator interacts with the network’s devices.
A managed device is a piece of network equipment (including its software) that resides on a managed network. A managed device might be a host, router, switch, middlebox, modem,
thermometer, or other network-connected device. There may be several so-called managed objects within a managed device. These managed objects are the actual pieces of hardware within the managed device (for example, a network interface card is but one component of a host or router), and configuration parameters for these hardware and software components (for example, an intra- AS routing protocol such as OSPF).
Each managed object within a managed device associated information that is collected into a Management Information Base (MIB); we’ll see that the values of these pieces of information are
available to (and in many cases able to be set by) the managing server. A MIB object might be a counter, such as the number of IP datagrams discarded at a router due to errors in an IP datagram header, or the number of UDP segments received at a host; descriptive information such as the version of the software running on a DNS server; status information such as whether a particular device is functioning correctly; or protocol-specific information such as a routing path to a destination. MIB objects are specified in a data description language known as SMI (Structure of
Management Information) [RFC 2578; RFC 2579; RFC 2580]. A formal definition language is used to ensure that the syntax and semantics of the network management data are well defined and
unambiguous. Related MIB objects are gathered into MIB modules. As of mid-2015, there were nearly 400 MIB modules defined by RFCs, and a much larger number of vendor-specific (private) MIB modules.
Also resident in each managed device is a network management agent, a process running in the managed device that communicates with the managing server,
Figure 5.20 Elements of network management: Managing server, managed devices, MIB data, remote agents, SNMP
taking local actions at the managed device under the command and control of the managing server. The network management agent is similar to the routing agent that we saw in Figure 5.2.
The final component of a network management framework is the network management protocol. The protocol runs between the managing server and the managed devices, allowing the managing
server to query the status of managed devices and indirectly take actions at these devices via its agents. Agents can use the network management protocol to inform the managing server of exceptional events (for example, component failures or violation of performance thresholds). It’s important to note that the network management protocol does not itself manage the network. Instead, it provides capabilities that a network administrator can use to manage (“monitor, test, poll, configure, analyze, evaluate, and control”) the network. This is a subtle, but important, distinction. In the following section, we’ll cover the Internet’s SNMP (Simple Network Management Protocol) protocol.
5.7.2 The Simple Network Management Protocol (SNMP)
The Simple Network Management Protocol version 2 (SNMPv2) [RFC 3416] is an application-layer protocol used to convey network-management control and information messages between a managing
server and an agent executing on behalf of that managing server. The most common usage of SNMP is in a request-response mode in which an SNMP managing server sends a request to an SNMP agent, who receives the request, performs some action, and sends a reply to the request. Typically, a request will be used to query (retrieve) or modify (set) MIB object values associated with a managed device. A second common usage of SNMP is for an agent to send an unsolicited message, known as a trap message, to a managing server. Trap messages are used to notify a managing server of an exceptional situation (e.g., a link interface going up or down) that has resulted in changes to MIB object values.
SNMPv2 defines seven types of messages, known generically as protocol data units—PDUs—as shown in Table 5.2 and described below. The format of the PDU is shown in Figure 5.21.
The GetRequest, GetNextRequest, and GetBulkRequest PDUs are all sent from a managing server to an agent to request the value of one or more MIB objects at the agent’s managed device. The MIB objects whose values are being
Table 5.2 SNMPv2 PDU types
SNMPv2 PDU Type
Sender-receiver
Description
GetRequest
manager-to- agent
get value of one or more MIB object instances
GetNextRequest
manager-to- agent
get value of next MIB object instance in list or table
GetBulkRequest
manager-to- agent
get values in large block of data, for example, values in a large table
InformRequest
manager-to- manager
inform remote managing entity of MIB values remote to its access
SetRequest
manager-to- agent
set value of one or more MIB object instances
Response
agent-to- manager or
generated in response to
manager-to- manager
GetRequest,
GetNextRequest,
GetBulkRequest,
SetRequest PDU, or
InformRequest
SNMPv2-Trap
agent-to- manager
inform manager of an exceptional event #
Figure 5.21 SNMP PDU format
requested are specified in the variable binding portion of the PDU. GetRequest, GetNextRequest, and GetBulkRequest differ in the granularity of their data requests. GetRequest can request an arbitrary set of MIB values; multiple GetNextRequests can be used
to sequence through a list or table of MIB objects; GetBulkRequest allows a large block of data to be returned, avoiding the overhead incurred if multiple GetRequest or GetNextRequest
messages were to be sent. In all three cases, the agent responds with a Response PDU containing the object identifiers and their associated values.
The SetRequest PDU is used by a managing server to set the value of one or more MIB objects in a managed device. An agent replies with a Response PDU with the “noError” error status to
confirm that the value has indeed been set.
The InformRequest PDU is used by a managing server to notify another managing server of MIB
information that is remote to the receiving server.
The Response PDU is typically sent from a managed device to the managing server in response to a request message from that server, returning the requested information.
The final type of SNMPv2 PDU is the trap message. Trap messages are generated asynchronously; that is, they are not generated in response to a received request but rather in response to an event
for which the managing server requires notification. RFC 3418 defines well-known trap types that include a cold or warm start by a device, a link going up or down, the loss of a neighbor, or an authentication failure event. A received trap request has no required response from a managing server.
Given the request-response nature of SNMP, it is worth noting here that although SNMP PDUs can be carried via many different transport protocols, the SNMP PDU is typically carried in the payload of a UDP datagram. Indeed, RFC 3417 states that UDP is “the preferred transport mapping.” However, since UDP is an unreliable transport protocol, there is no guarantee that a request, or its response, will
be received at the intended destination. The request ID field of the PDU (see Figure 5.21) is used by the managing server to number its requests to an agent; the agent’s response takes its request ID from
that of the received request. Thus, the request ID field can be used by the managing server to detect lost requests or replies. It is up to the managing server to decide whether to retransmit a request if no corresponding response is received after a given amount of time. In particular, the SNMP standard does not mandate any particular procedure for retransmission, or even if retransmission is to be done in the first place. It only requires that the managing server “needs to act responsibly in respect to the frequency and duration of retransmissions.” This, of course, leads one to wonder how a “responsible” protocol should act!
SNMP has evolved through three versions. The designers of SNMPv3 have said that “SNMPv3 can be
thought of as SNMPv2 with additional security and administration capabilities” [RFC 3410]. Certainly, there are changes in SNMPv3 over SNMPv2, but nowhere are those changes more evident than in the
area of administration and security. The central role of security in SNMPv3 was particularly important, since the lack of adequate security resulted in SNMP being used primarily for monitoring rather than
control (for example, SetRequest is rarely used in SNMPv1). Once again, we see that security—a
topic we’ll cover in detail in Chapter 8 — is of critical concern, but once again a concern whose importance had been realized perhaps a bit late and only then “added on.”
5.7 Summary
We have now completed our two-chapter journey into the network core—a journey that began with our
study of the network layer’s data plane in Chapter 4 and finished here with our study of the network layer’s control plane. We learned that the control plane is the network-wide logic that controls not only
how a datagram is forwarded among routers along an end-to-end path from the source host to the destination host, but also how network-layer components and services are configured and managed.
We learned that there are two broad approaches towards building a control plane: traditional per-router control (where a routing algorithm runs in each and every router and the routing component in the router
communicates with the routing components in other routers) and software-defined networking (SDN) control (where a logically centralized controller computes and distributes the forwarding tables to be
used by each and every router). We studied two fundamental routing algorithms for computing least cost
paths in a graph—link-state routing and distance-vector routing—in Section 5.2; these algorithms find application in both per-router control and in SDN control. These algorithms are the basis for two widely-
deployed Internet routing protocols, OSPF and BGP, that we covered in Sections 5.3 and 5.4. We covered the SDN approach to the network-layer control plane in Section 5.5, investigating SDN
network-control applications, the SDN controller, and the OpenFlow protocol for communicating
between the controller and SDN-controlled devices. In Sections 5.6 and 5.7, we covered some of the nuts and bolts of managing an IP network: ICMP (the Internet Control Message Protocol) and SNMP
(the Simple Network Management Protocol).
Having completed our study of the network layer, our journey now takes us one step further down the protocol stack, namely, to the link layer. Like the network layer, the link layer is part of each and every network-connected device. But we will see in the next chapter that the link layer has the much more localized task of moving packets between nodes on the same link or LAN. Although this task may appear on the surface to be rather simple compared with that of the network layer’s tasks, we will see that the link layer involves a number of important and fascinating issues that can keep us busy for a long time.
Homework Problems and Questions
Chapter 5 Review Questions
SECTION 5.1
R1. What is meant by a control plane that is based on per-router control? In such cases, when we say the network control and data planes are implemented “monolithically,” what do we
mean?
R2. What is meant by a control plane that is based on logically centralized control? In such cases, are the data plane and the control plane implemented within the same device or in
separate devices? Explain.
SECTION 5.2
R3. Compare and contrast the properties of a centralized and a distributed routing algorithm. Give an example of a routing protocol that takes a centralized and a decentralized approach.
R4. Compare and contrast link-state and distance-vector routing algorithms. R5. What is the “count to infinity” problem in distance vector routing?
R6. Is it necessary that every autonomous system use the same intra-AS routing algorithm? Why or why not?
SECTIONS 5.3–5.4
R7. Why are different inter-AS and intra-AS protocols used in the Internet?
R8. True or false: When an OSPF route sends its link state information, it is sent only to those nodes directly attached neighbors. Explain.
R9. What is meant by an area in an OSPF autonomous system? Why was the concept of an area introduced?
R10. Define and contrast the following terms: subnet, prefix, and BGP route.
R11. How does BGP use the NEXT-HOP attribute? How does it use the AS-PATH attribute?
R12. Describe how a network administrator of an upper-tier ISP can implement policy when configuring BGP.
R13. True or false: When a BGP router receives an advertised path from its neighbor, it must add its own identity to the received path and then send that new path on to all of its neighbors.
Explain.
SECTION 5.5
R14. Describe the main role of the communication layer, the network-wide state-management layer, and the network-control application layer in an SDN controller.
R15. Suppose you wanted to implement a new routing protocol in the SDN control plane. At which layer would you implement that protocol? Explain.
R16. What types of messages flow across an SDN controller’s northbound and southbound APIs? Who is the recipient of these messages sent from the controller across the southbound
interface, and who sends messages to the controller across the northbound interface?
R17. Describe the purpose of two types of OpenFlow messages (of your choosing) that are sent from a controlled device to the controller. Describe the purpose of two types of Openflow
messages (of your choosing) that are send from the controller to a controlled device.
R18. What is the purpose of the service abstraction layer in the OpenDaylight SDN controller?
SECTIONS 5.6–5.7
R19. Names four different types of ICMP messages
R20. What two types of ICMP messages are received at the sending host executing the
Traceroute program?
R21. Define the following terms in the context of SNMP: managing server, managed device, network management agent and MIB.
R22. What are the purposes of the SNMP GetRequest and SetRequest messages? R23. What is the purpose of the SNMP trap message?
Problems
P1. Looking at Figure 5.3 , enumerate the paths from y to u that do not contain any loops. P2. Repeat Problem P1 for paths from x to z, z to u, and z to w.
P3. Consider the following network. With the indicated link costs, use Dijkstra’s shortest-path algorithm to compute the shortest path from x to all network nodes. Show how the algorithm works by computing a table similar to Table 5.1 .
Dijkstra’s algorithm: discussion and example
P4. Consider the network shown in Problem P3. Using Dijkstra’s algorithm, and showing your work using a table similar to Table 5.1 , do the following:
a. Compute the shortest path from t to all network nodes. b. Compute the shortest path from u to all network nodes. c. Compute the shortest path from v to all network nodes. d. Compute the shortest path from w to all network nodes. e. Compute the shortest path from y to all network nodes.
f. Compute the shortest path from z to all network nodes.
P5. Consider the network shown below, and assume that each node initially knows the costs to
each of its neighbors. Consider the distance-vector algorithm and show the distance table entries at node z.
P6. Consider a general topology (that is, not the specific network shown above) and a
synchronous version of the distance-vector algorithm. Suppose that at each iteration, a node exchanges its distance vectors with its neighbors and receives their distance vectors. Assuming that the algorithm begins with each node knowing only the costs to its immediate neighbors, what is the maximum number of iterations required before the distributed algorithm converges? Justify your answer.
P7. Consider the network fragment shown below. x has only two attached neighbors, w and y. w
has a minimum-cost path to destination u (not shown) of 5, and y has a minimum-cost path to u
of 6. The complete paths from w and y to u (and between w and y) are not shown. All link costs in the network have strictly positive integer values.
a. Give x’s distance vector for destinations w, y, and u.
b. Give a link-cost change for either c(x, w) or c(x, y) such that x will inform its neighbors of
a new minimum-cost path to u as a result of executing the distance-vector algorithm.
c. Give a link-cost change for either c(x, w) or c(x, y) such that x will not inform its neighbors
of a new minimum-cost path to u as a result of executing the distance-vector algorithm.
P8. Consider the three-node topology shown in Figure 5.6 . Rather than having the link costs
shown in Figure 5.6 , the link costs are c(x,y)=3, c(y,z)=6, c(z,x)=4. Compute the distance tables after the initialization step and after each iteration of a synchronous version of the distance-
vector algorithm (as we did in our earlier discussion of Figure 5.6 ).
P9. Consider the count-to-infinity problem in the distance vector routing. Will the count-to-infinity
problem occur if we decrease the cost of a link? Why? How about if we connect two nodes which do not have a link?
P10. Argue that for the distance-vector algorithm in Figure 5.6 , each value in the distance vector D(x) is non-increasing and will eventually stabilize in a finite number of steps.
P11. Consider Figure 5.7. Suppose there is another router w, connected to router y and z. The costs of all links are given as follows: c(x,y)=4, c(x,z)=50, c(y,w)=1, c(z,w)=1, c(y,z)=3. Suppose
that poisoned reverse is used in the distance-vector routing algorithm.
a. When the distance vector routing is stabilized, router w, y, and z inform their distances to x to each other. What distance values do they tell each other?
b. Now suppose that the link cost between x and y increases to 60. Will there be a count-to- infinity problem even if poisoned reverse is used? Why or why not? If there is a count-to-
infinity problem, then how many iterations are needed for the distance-vector routing to
reach a stable state again? Justify your answer.
c. How do you modify c(y, z) such that there is no count-to-infinity problem at all if c(y,x) changes from 4 to 60?
P12. Describe how loops in paths can be detected in BGP.
P13. Will a BGP router always choose the loop-free route with the shortest ASpath length? Justify your answer.
P14. Consider the network shown below. Suppose AS3 and AS2 are running OSPF for their intra-AS routing protocol. Suppose AS1 and AS4 are running RIP for their intra-AS routing
protocol. Suppose eBGP and iBGP are used for the inter-AS routing protocol. Initially suppose
there is no physical link between AS2 and AS4.
a. Router 3c learns about prefix x from which routing protocol: OSPF, RIP, eBGP, or iBGP? b. Router 3a learns about x from which routing protocol?
c. Router 1c learns about x from which routing protocol?
d. Router 1d learns about x from which routing protocol?
P15. Referring to the previous problem, once router 1d learns about x it will put an entry (x, I) in its forwarding table.
a. Will I be equal to I1 or I2 for this entry? Explain why in one sentence.
b. Now suppose that there is a physical link between AS2 and AS4, shown by the dotted
line. Suppose router 1d learns that x is accessible via AS2 as well as via AS3. Will I be
set to I1 or I2? Explain why in one sentence.
c. Now suppose there is another AS, called AS5, which lies on the path between AS2 and
AS4 (not shown in diagram). Suppose router 1d learns that x is accessible via AS2 AS5 AS4 as well as via AS3 AS4. Will I be set to I1 or I2? Explain why in one sentence.
P16. Consider the following network. ISP B provides national backbone service to regional ISP A. ISP C provides national backbone service to regional ISP D. Each ISP consists of one AS. B
and C peer with each other in two places using BGP. Consider traffic going from A to D. B would prefer to hand that traffic over to C on the West Coast (so that C would have to absorb the cost of carrying the traffic cross-country), while C would prefer to get the traffic via its East Coast peering point with B (so that B would have carried the traffic across the country). What BGP mechanism might C use, so that B would hand over A-to-D traffic at its East Coast peering point? To answer this question, you will need to dig into the BGP specification.
P17. In Figure 5.13 , consider the path information that reaches stub networks W, X, and Y. Based on the information available at W and X, what are their respective views of the network
topology? Justify your answer. The topology view at Y is shown below.
P18. Consider Figure 5.13 . B would never forward traffic destined to Y via X based on BGP routing. But there are some very popular applications for which data packets go to X first and
then flow to Y. Identify one such application, and describe how data packets follow a path not given by BGP routing.
P19. In Figure 5.13 , suppose that there is another stub network V that is a customer of ISP A. Suppose that B and C have a peering relationship, and A is a customer of both B and C.
Suppose that A would like to have the traffic destined to W to come from B only, and the traffic destined to V from either B or C. How should A advertise its routes to B and C? What AS routes does C receive?
P20. Suppose ASs X and Z are not directly connected but instead are connected by AS Y. Further suppose that X has a peering agreement with Y, and that Y has a peering agreement
with Z. Finally, suppose that Z wants to transit all of Y’s traffic but does not want to transit X’s traffic. Does BGP allow Z to implement this policy?
P21. Consider the two ways in which communication occurs between a managing entity and a managed device: request-response mode and trapping. What are the pros and cons of these two
approaches, in terms of (1) overhead, (2) notification time when exceptional events occur, and (3) robustness with respect to lost messages between the managing entity and the device?
P22. In Section 5.7 we saw that it was preferable to transport SNMP messages in unreliable UDP datagrams. Why do you think the designers of SNMP chose UDP rather than TCP as the
transport protocol of choice for SNMP?
Socket Programming Assignment
At the end of Chapter 2, there are four socket programming assignments. Below, you will find a fifth assignment which employs ICMP, a protocol discussed in this chapter.
Assignment 5: ICMP Ping
Ping is a popular networking application used to test from a remote location whether a particular host is up and reachable. It is also often used to measure latency between the client host and the target host. It works by sending ICMP “echo request” packets (i.e., ping packets) to the target host and listening for ICMP “echo response” replies (i.e., pong packets). Ping measures the RRT, records packet loss, and calculates a statistical summary of multiple ping-pong exchanges (the minimum, mean, max, and standard deviation of the round-trip times).
In this lab, you will write your own Ping application in Python. Your application will use ICMP. But in order to keep your program simple, you will not exactly follow the official specification in RFC 1739. Note that you will only need to write the client side of the program, as the functionality needed on the server side is built into almost all operating systems. You can find full details of this assignment, as well as
important snippets of the Python code, at the Web site http://www.pearsonhighered.com/cs- resources.
Programming Assignment
In this programming assignment, you will be writing a “distributed” set of procedures that implements a distributed asynchronous distance-vector routing for the network shown below.
You are to write the following routines that will “execute” asynchronously within the emulated environment provided for this assignment. For node 0, you will write the routines:
rtinit0(). This routine will be called once at the beginning of the emulation. rtinit0() has no arguments. It should initialize your distance table in node 0 to reflect the direct costs of 1, 3, and 7 to nodes 1, 2,
and 3, respectively. In the figure above, all links are bidirectional and the costs in both directions are identical. After initializing the distance table and any other data structures needed by your node 0 routines, it should then send its directly connected neighbors (in this case, 1, 2, and 3) the cost of its minimum-cost paths to all other network nodes. This minimum-cost information is sent to
neighboring nodes in a routing update packet by calling the routine tolayer2(), as described in the full assignment. The format of the routing update packet is also described in the full assignment.
rtupdate0(struct rtpkt *rcvdpkt). This routine will be called when node 0 receives a routing packet that
was sent to it by one of its directly connected neighbors. The parameter *rcvdpkt is a pointer to the
packet that was received. rtupdate0() is the “heart” of the distance-vector algorithm. The values it
receives in a routing update packet from some other node i contain i’s current shortest-path costs to
all other network nodes. rtupdate0() uses these received values to update its own distance table (as specified by the distance-vector algorithm). If its own minimum cost to another node changes as a
result of the update, node 0 informs its directly connected neighbors of this change in minimum cost by sending them a routing packet. Recall that in the distance-vector algorithm, only directly connected nodes will exchange routing packets. Thus, nodes 1 and 2 will communicate with each other, but nodes 1 and 3 will not communicate with each other.
Similar routines are defined for nodes 1, 2, and 3. Thus, you will write eight procedures in all: rtinit0(), rtinit1(), rtinit2(), rtinit3(), rtupdate0(), rtupdate1(), rtupdate2(), and rtupdate3(). These routines will
together implement a distributed, asynchronous computation of the distance tables for the topology and costs shown in the figure on the preceding page.
You can find the full details of the programming assignment, as well as C code that you will need to
create the simulated hardware/software environment, at http://www.pearsonhighered.com/cs-resource. A Java version of the assignment is also available.
Wireshark Lab
In the Web site for this textbook, www.pearsonhighered.com/cs-resources, you’ll find a Wireshark lab assignment that examines the use of the ICMP protocol in the ping and traceroute commands.
An Interview With… Jennifer Rexford
Jennifer Rexford is a Professor in the Computer Science department at Princeton University. Her research has the broad goal of making computer networks easier to design and manage, with particular emphasis on routing protocols. From 1996–2004, she was a member of the Network Management and Performance department at AT&T Labs–Research. While at AT&T, she designed techniques and tools for network measurement, traffic engineering, and router configuration that were deployed in AT&T’s backbone network. Jennifer is co-author of the book “Web Protocols and Practice: Networking Protocols, Caching, and Traffic Measurement,” published by Addison-Wesley in May 2001. She served as the chair of ACM SIGCOMM from 2003 to 2007. She received her BSE degree in electrical engineering from Princeton University in 1991, and her PhD degree in electrical engineering and computer science from the University of Michigan in 1996. In 2004, Jennifer was the winner of ACM’s Grace Murray Hopper Award for outstanding young computer professional and appeared on the MIT TR-100 list of top innovators under the age of 35.
Please describe one or two of the most exciting projects you have worked on during your career. What were the biggest challenges?
When I was a researcher at AT&T, a group of us designed a new way to manage routing in Internet Service Provider backbone networks. Traditionally, network operators configure each router individually, and these routers run distributed protocols to compute paths through the network. We believed that network management would be simpler and more flexible if network
operators could exercise direct control over how routers forward traffic based on a network-wide view of the topology and traffic. The Routing Control Platform (RCP) we designed and built could compute the routes for all of AT&T’s backbone on a single commodity computer, and could control legacy routers without modification. To me, this project was exciting because we had a provocative idea, a working system, and ultimately a real deployment in an operational network. Fast forward a few years, and software-defined networking (SDN) has become a mainstream technology, and standard protocols (like OpenFlow) have made it much easier to tell the underlying switches what to do.
How do you think software-defined networking should evolve in the future?
In a major break from the past, control-plane software can be created by many different programmers, not just at companies selling network equipment. Yet, unlike the applications
running on a server or a smart phone, controller apps must work together to handle the same traffic. Network operators do not want to perform load balancing on some traffic and routing on
other traffic; instead, they want to perform load balancing and routing, together, on the same traffic. Future SDN controller platforms should offer good programming abstractions for
composing independently written multiple controller applications together. More broadly, good programming abstractions can make it easier to create controller applications, without having to
worry about low-level details like flow table entries, traffic counters, bit patterns in packet headers, and so on. Also, while an SDN controller is logically centralized, the network still consists of a distributed collection of devices. Future controllers should offer good abstractions for updating the flow tables across the network, so apps can reason about what happens to packets in flight while the devices are updated. Programming abstractions for control-plane software is an exciting area for interdisciplinary research between computer networking, distributed systems, and programming languages, with a real chance for practical impact in the years ahead.
Where do you see the future of networking and the Internet?
Networking is an exciting field because the applications and the underlying technologies change all the time. We are always reinventing ourselves! Who would have predicted even ten years ago the dominance of smart phones, allowing mobile users to access existing applications as well as new location-based services? The emergence of cloud computing is fundamentally changing the relationship between users and the applications they run, and networked sensors and actuators (the “Internet of Things”) are enabling a wealth of new applications (and security vulnerabilities!). The pace of innovation is truly inspiring.
The underlying network is a crucial component in all of these innovations. Yet, the network is notoriously “in the way”—limiting performance, compromising reliability, constraining applications, and complicating the deployment and management of services. We should strive to make the network of the future as invisible as the air we breathe, so it never stands in the way of
new ideas and valuable services. To do this, we need to raise the level of abstraction above individual network devices and protocols (and their attendant acronyms!), so we can reason about the network and the user’s high-level goals as a whole.
What people inspired you professionally?
I’ve long been inspired by Sally Floyd at the International Computer Science Institute. Her research is always purposeful, focusing on the important challenges facing the Internet. She digs deeply into hard questions until she understands the problem and the space of solutions completely, and she devotes serious energy into “making things happen,” such as pushing her ideas into protocol standards and network equipment. Also, she gives back to the community, through professional service in numerous standards and research organizations and by creating tools (such as the widely used ns-2 and ns-3 simulators) that enable other researchers to succeed. She retired in 2009 but her influence on the field will be felt for years to come.
What are your recommendations for students who want careers in computer science and networking?
Networking is an inherently interdisciplinary field. Applying techniques from other disciplines breakthroughs in networking come from such diverse areas as queuing theory, game theory, control theory, distributed systems, network optimization, programming languages, machine learning, algorithms, data structures, and so on. I think that becoming conversant in a related field, or collaborating closely with experts in those fields, is a wonderful way to put networking on a stronger foundation, so we can learn how to build networks that are worthy of society’s trust. Beyond the theoretical disciplines, networking is exciting because we create real artifacts that real people use. Mastering how to design and build systems—by gaining experience in operating systems, computer architecture, and so on—is another fantastic way to amplify your knowledge of networking to help make the world a better place.
Chapter 6 The Link Layer and LANs
In the previous two chapters we learned that the network layer provides a communication service
between any two network hosts. Between the two hosts, datagrams travel over a series of communication links, some wired and some wireless, starting at the source host, passing through a
series of packet switches (switches and routers) and ending at the destination host. As we continue down the protocol stack, from the network layer to the link layer, we naturally wonder how packets are
sent across the individual links that make up the end-to-end communication path. How are the network- layer datagrams encapsulated in the link-layer frames for transmission over a single link? Are different
link-layer protocols used in the different links along the communication path? How are transmission conflicts in broadcast links resolved? Is there addressing at the link layer and, if so, how does the link-
layer addressing operate with the network-layer addressing we learned about in Chapter 4? And what exactly is the difference between a switch and a router? We’ll answer these and other important
questions in this chapter.
In discussing the link layer, we’ll see that there are two fundamentally different types of link-layer channels. The first type are broadcast channels, which connect multiple hosts in wireless LANs, satellite networks, and hybrid fiber-coaxial cable (HFC) access networks. Since many hosts are connected to the same broadcast communication channel, a so-called medium access protocol is needed to coordinate frame transmission. In some cases, a central controller may be used to coordinate transmissions; in other cases, the hosts themselves coordinate transmissions. The second type of link-layer channel is the point-to-point communication link, such as that often found between two routers connected by a long-distance link, or between a user’s office computer and the nearby Ethernet switch to which it is connected. Coordinating access to a point-to-point link is simpler; the reference material on this book’s Web site has a detailed discussion of the Point-to-Point Protocol (PPP), which is used in settings ranging from dial-up service over a telephone line to high-speed point-to-point frame transport over fiber-optic links.
We’ll explore several important link-layer concepts and technologies in this chapter. We’ll dive deeper
into error detection and correction, a topic we touched on briefly in Chapter 3. We’ll consider multiple access networks and switched LANs, including Ethernet—by far the most prevalent wired LAN
technology. We’ll also look at virtual LANs, and data center networks. Although WiFi, and more generally wireless LANs, are link-layer topics, we’ll postpone our study of these important topics until
Chapter 7.
6.1 Introduction to the Link Layer
Let’s begin with some important terminology. We’ll find it convenient in this chapter to refer to any device that runs a link-layer (i.e., layer 2) protocol as a node. Nodes include hosts, routers, switches, and WiFi
access points (discussed in Chapter 7). We will also refer to the communication channels that connect adjacent nodes along the communication path as links. In order for a datagram to be transferred from
source host to destination host, it must be moved over each of the individual links in the end-to-end path. As an example, in the company network shown at the bottom of Figure 6.1, consider sending a
datagram from one of the wireless hosts to one of the servers. This datagram will actually pass through six links: a WiFi link between sending host and WiFi access point, an Ethernet link between the access point and a link-layer switch; a link between the link-layer switch and the router, a link between the two routers; an Ethernet link between the router and a link-layer switch; and finally an Ethernet link between the switch and the server. Over a given link, a transmitting node encapsulates the datagram in a link- layer frame and transmits the frame into the link.
In order to gain further insight into the link layer and how it relates to the network layer, let’s consider a transportation analogy. Consider a travel agent who is planning a trip for a tourist traveling from Princeton, New Jersey, to Lausanne, Switzerland. The travel agent decides that it is most convenient for the tourist to take a limousine from Princeton to JFK airport, then a plane from JFK airport to Geneva’s airport, and finally a train from Geneva’s airport to Lausanne’s train station. Once the travel agent makes the three reservations, it is the responsibility of the Princeton limousine company to get the tourist from Princeton to JFK; it is the responsibility of the airline company to get the tourist from JFK to Geneva; and it is the responsibility
Figure 6.1 Six link-layer hops between wireless host and server
of the Swiss train service to get the tourist from Geneva to Lausanne. Each of the three segments of the trip is “direct” between two “adjacent” locations. Note that the three transportation segments are managed by different companies and use entirely different transportation modes (limousine, plane, and train). Although the transportation modes are different, they each provide the basic service of moving passengers from one location to an adjacent location. In this transportation analogy, the tourist is a datagram, each transportation segment is a link, the transportation mode is a link-layer protocol, and the
travel agent is a routing protocol.
6.1.1 The Services Provided by the Link Layer
Although the basic service of any link layer is to move a datagram from one node to an adjacent node over a single communication link, the details of the provided service can vary from one link-layer protocol to the next. Possible services that can be offered by a link-layer protocol include:
Framing. Almost all link-layer protocols encapsulate each network-layer datagram within a link-layer frame before transmission over the link. A frame consists of a data field, in which the network-layer
datagram is inserted, and a number of header fields. The structure of the frame is specified by the link-layer protocol. We’ll see several different frame formats when we examine specific link-layer protocols in the second half of this chapter.
Link access. A medium access control (MAC) protocol specifies the rules by which a frame is transmitted onto the link. For point-to-point links that have a single sender at one end of the link and
a single receiver at the other end of the link, the MAC protocol is simple (or nonexistent)—the sender can send a frame whenever the link is idle. The more interesting case is when multiple nodes share a single broadcast link—the so-called multiple access problem. Here, the MAC protocol serves to coordinate the frame transmissions of the many nodes.
Reliable delivery. When a link-layer protocol provides reliable delivery service, it guarantees to move each network-layer datagram across the link without error. Recall that certain transport-layer
protocols (such as TCP) also provide a reliable delivery service. Similar to a transport-layer reliable delivery service, a link-layer reliable delivery service can be achieved with acknowledgments and
retransmissions (see Section 3.4). A link-layer reliable delivery service is often used for links that are prone to high error rates, such as a wireless link, with the goal of correcting an error locally—on
the link where the error occurs—rather than forcing an end-to-end retransmission of the data by a transport- or application-layer protocol. However, link-layer reliable delivery can be considered an unnecessary overhead for low bit-error links, including fiber, coax, and many twisted-pair copper links. For this reason, many wired link-layer protocols do not provide a reliable delivery service.
Error detection and correction. The link-layer hardware in a receiving node can incorrectly decide that a bit in a frame is zero when it was transmitted as a one, and vice versa. Such bit errors are
introduced by signal attenuation and electromagnetic noise. Because there is no need to forward a datagram that has an error, many link-layer protocols provide a mechanism to detect such bit errors. This is done by having the transmitting node include error-detection bits in the frame, and having the
receiving node perform an error check. Recall from Chapters 3 and 4 that the Internet’s transport layer and network layer also provide a limited form of error detection—the Internet checksum. Error
detection in the link layer is usually more sophisticated and is implemented in hardware. Error correction is similar to error detection, except that a receiver not only detects when bit errors have occurred in the frame but also determines exactly where in the frame the errors have occurred (and
then corrects these errors).
6.1.2 Where Is the Link Layer Implemented?
Before diving into our detailed study of the link layer, let’s conclude this introduction by considering the question of where the link layer is implemented. We’ll focus here on an end system, since we learned in
Chapter 4 that the link layer is implemented in a router’s line card. Is a host’s link layer implemented in hardware or software? Is it implemented on a separate card or chip, and how does it interface with the
rest of a host’s hardware and operating system components?
Figure 6.2 shows a typical host architecture. For the most part, the link layer is implemented in a
network adapter, also sometimes known as a network interface card (NIC). At the heart of the network adapter is the link-layer controller, usually a single, special-purpose chip that implements many of the link-layer services (framing, link access, error detection, and so on). Thus, much of a link-layer
controller’s functionality is implemented in hardware. For example, Intel’s 710 adapter [Intel 2016] implements the Ethernet protocols we’ll study in Section 6.5; the Atheros AR5006 [Atheros 2016]
controller implements the 802.11 WiFi protocols we’ll study in Chapter 7. Until the late 1990s, most network adapters were physically separate cards (such as a PCMCIA card or a plug-in card fitting into a
PC’s PCI card slot) but increasingly, network adapters are being integrated onto the host’s motherboard —a so-called LAN-on-motherboard configuration.
On the sending side, the controller takes a datagram that has been created and stored in host memory by the higher layers of the protocol stack, encapsulates the datagram in a link-layer frame (filling in the frame’s various fields), and then transmits the frame into the communication link, following the link- access protocol. On the receiving side, a controller receives the entire frame, and extracts the network- layer datagram. If the link layer performs error detection, then it is the sending controller that sets the error-detection bits in the frame header and it is the receiving controller that performs error detection.
Figure 6.2 shows a network adapter attaching to a host’s bus (e.g., a PCI or PCI-X bus), where it looks much like any other I/O device to the other host
Figure 6.2 Network adapter: Its relationship to other host components and to protocol stack functionality
components. Figure 6.2 also shows that while most of the link layer is implemented in hardware, part of the link layer is implemented in software that runs on the host’s CPU. The software components of the
link layer implement higher-level link-layer functionality such as assembling link-layer addressing information and activating the controller hardware. On the receiving side, link-layer software responds to controller interrupts (e.g., due to the receipt of one or more frames), handling error conditions and passing a datagram up to the network layer. Thus, the link layer is a combination of hardware and
software—the place in the protocol stack where software meets hardware. [Intel 2016] provides a readable overview (as well as a detailed description) of the XL710 controller from a software-
programming point of view.
6.2 Error-Detection and -Correction Techniques
In the previous section, we noted that bit-level error detection and correction—detecting and correcting the corruption of bits in a link-layer frame sent from one node to another physically connected
neighboring node—are two services often provided by the link layer. We saw in Chapter 3 that error- detection and -correction services are also often offered at the transport layer as well. In this section,
we’ll examine a few of the simplest techniques that can be used to detect and, in some cases, correct such bit errors. A full treatment of the theory and implementation of this topic is itself the topic of many
textbooks (for example, [Schwartz 1980] or [Bertsekas 1991]), and our treatment here is necessarily brief. Our goal here is to develop an intuitive feel for the capabilities that error-detection and -correction
techniques provide and to see how a few simple techniques work and are used in practice in the link layer.
Figure 6.3 illustrates the setting for our study. At the sending node, data, D, to be protected against bit errors is augmented with error-detection and -correction bits (EDC). Typically, the data to be protected
includes not only the datagram passed down from the network layer for transmission across the link, but also link-level addressing information, sequence numbers, and other fields in the link frame header.
Both D and EDC are sent to the receiving node in a link-level frame. At the receiving node, a sequence of bits, D′ and EDC′ is received. Note that D′ and EDC′ may differ from the original D and EDC as a
result of in-transit bit flips.
The receiver’s challenge is to determine whether or not D′ is the same as the original D, given that it has
only received D′ and EDC′. The exact wording of the receiver’s decision in Figure 6.3 (we ask whether an error is detected, not whether an error has occurred!) is important. Error-detection and -correction
techniques allow the receiver to sometimes, but not always, detect that bit errors have occurred. Even with the use of error-detection bits there still may be undetected bit errors; that is, the receiver may be
unaware that the received information contains bit errors. As a
Figure 6.3 Error-detection and -correction scenario
consequence, the receiver might deliver a corrupted datagram to the network layer, or be unaware that the contents of a field in the frame’s header has been corrupted. We thus want to choose an error- detection scheme that keeps the probability of such occurrences small. Generally, more sophisticated error-detection and-correction techniques (that is, those that have a smaller probability of allowing undetected bit errors) incur a larger overhead—more computation is needed to compute and transmit a larger number of error-detection and -correction bits.
Let’s now examine three techniques for detecting errors in the transmitted data—parity checks (to illustrate the basic ideas behind error detection and correction), checksumming methods (which are more typically used in the transport layer), and cyclic redundancy checks (which are more typically used in the link layer in an adapter).
6.2.1 Parity Checks
Perhaps the simplest form of error detection is the use of a single parity bit. Suppose that the information to be sent, D in Figure 6.4, has d bits. In an even parity scheme, the sender simply includes
one additional bit and chooses its value such that the total number of 1s in the d+1 bits (the original information plus a parity bit) is even. For odd parity schemes, the parity bit value is chosen such that
there is an odd number of 1s. Figure 6.4 illustrates an even parity scheme, with the single parity bit being stored in a separate field.
Receiver operation is also simple with a single parity bit. The receiver need only count the number of 1s in the received d+1 bits. If an odd number of 1-valued bits are found with an even parity scheme, the
receiver knows that at least one bit error has occurred. More precisely, it knows that some odd number of bit errors have occurred.
But what happens if an even number of bit errors occur? You should convince yourself that this would result in an undetected error. If the probability of bit errors is small and errors can be assumed to occur independently from one bit to the next, the probability of multiple bit errors in a packet would be extremely small. In this case, a single parity bit might suffice. However, measurements have shown that, rather than occurring independently, errors are often clustered together in “bursts.” Under burst error conditions, the probability of undetected errors in a frame protected by single-bit parity can approach 50
percent [Spragins 1991]. Clearly, a more robust error-detection scheme is needed (and, fortunately, is used in practice!). But before examining error-detection schemes that are used in practice, let’s consider
a simple
Figure 6.4 One-bit even parity
generalization of one-bit parity that will provide us with insight into error-correction techniques.
Figure 6.5 shows a two-dimensional generalization of the single-bit parity scheme. Here, the d bits in D
are divided into i rows and j columns. A parity value is computed for each row and for each column. The resulting i+j+1 parity bits comprise the link-layer frame’s error-detection bits.
Suppose now that a single bit error occurs in the original d bits of information. With this two- dimensional parity scheme, the parity of both the column and the row containing the flipped bit will be
in error. The receiver can thus not only detect the fact that a single bit error has occurred, but can use the column and row indices of the column and row with parity errors to actually identify the bit that was
corrupted and correct that error! Figure 6.5 shows an example in which the 1-valued bit in position (2,2) is corrupted and switched to a 0—an error that is both detectable and correctable at the receiver.
Although our discussion has focused on the original d bits of information, a single error in the parity bits themselves is also detectable and correctable. Two-dimensional parity can also detect (but not correct!)
any combination of two errors in a packet. Other properties of the two-dimensional parity scheme are explored in the problems at the end of the chapter.
Figure 6.5 Two-dimensional even parity
The ability of the receiver to both detect and correct errors is known as forward error correction (FEC). These techniques are commonly used in audio storage and playback devices such as audio CDs. In a network setting, FEC techniques can be used by themselves, or in conjunction with link-layer ARQ
techniques similar to those we examined in Chapter 3. FEC techniques are valuable because they can decrease the number of sender retransmissions required. Perhaps more important, they allow for
immediate correction of errors at the receiver. This avoids having to wait for the round-trip propagation delay needed for the sender to receive a NAK packet and for the retransmitted packet to propagate back
to the receiver—a potentially important advantage for real-time network applications [Rubenstein 1998] or links (such as deep-space links) with long propagation delays. Research examining the use of FEC in
error-control protocols includes [Biersack 1992; Nonnenmacher 1998; Byers 1998; Shacham 1990]. 6.2.2 Checksumming Methods
In checksumming techniques, the d bits of data in Figure 6.4 are treated as a sequence of k-bit
integers. One simple checksumming method is to simply sum these k-bit integers and use the resulting sum as the error-detection bits. The Internet checksum is based on this approach—bytes of data are
treated as 16-bit integers and summed. The 1s complement of this sum then forms the Internet
checksum that is carried in the segment header. As discussed in Section 3.3, the receiver checks the checksum by taking the 1s complement of the sum of the received data (including the checksum) and
checking whether the result is all 1 bits. If any of the bits are 0, an error is indicated. RFC 1071 discusses the Internet checksum algorithm and its implementation in detail. In the TCP and UDP protocols, the Internet checksum is computed over all fields (header and data fields included). In IP the checksum is computed over the IP header (since the UDP or TCP segment has its own checksum). In
other protocols, for example, XTP [Strayer 1992], one checksum is computed over the header and another checksum is computed over the entire packet.
Checksumming methods require relatively little packet overhead. For example, the checksums in TCP and UDP use only 16 bits. However, they provide relatively weak protection against errors as compared with cyclic redundancy check, which is discussed below and which is often used in the link layer. A natural question at this point is, Why is checksumming used at the transport layer and cyclic redundancy check used at the link layer? Recall that the transport layer is typically implemented in software in a host as part of the host’s operating system. Because transport-layer error detection is implemented in software, it is important to have a simple and fast error-detection scheme such as checksumming. On the other hand, error detection at the link layer is implemented in dedicated hardware in adapters, which
can rapidly perform the more complex CRC operations. Feldmeier [Feldmeier 1995] presents fast software implementation techniques for not only weighted checksum codes, but CRC (see below) and
other codes as well.
6.2.3 Cyclic Redundancy Check (CRC)
An error-detection technique used widely in today’s computer networks is based on cyclic redundancy check (CRC) codes. CRC codes are also known as polynomial codes, since it is possible to view the bit string to be sent as a polynomial whose coefficients are the 0 and 1 values in the bit string, with operations on the bit string interpreted as polynomial arithmetic.
CRC codes operate as follows. Consider the d-bit piece of data, D, that the sending node wants to send to the receiving node. The sender and receiver must first agree on an r+1 bit pattern, known as a
generator, which we will denote as G. We will require that the most significant (leftmost) bit of G be a 1.
The key idea behind CRC codes is shown in Figure 6.6. For a given piece of data, D, the sender will
choose r additional bits, R, and append them to D such that the resulting d+r bit pattern (interpreted as a
binary number) is exactly divisible by G (i.e., has no remainder) using modulo-2 arithmetic. The process
of error checking with CRCs is thus simple: The receiver divides the d+r received bits by G. If the remainder is nonzero, the receiver knows that an error has occurred; otherwise the data is accepted as
being correct.
All CRC calculations are done in modulo-2 arithmetic without carries in addition or borrows in subtraction. This means that addition and subtraction are identical, and both are equivalent to the bitwise exclusive-or (XOR) of the operands. Thus, for example,
1011 XOR 0101 = 1110
1001 XOR 1101 = 0100
Also, we similarly have
1011 – 0101 = 1110
1001 – 1101 = 0100
Multiplication and division are the same as in base-2 arithmetic, except that any required addition or subtraction is done without carries or borrows. As in regular
Figure 6.6 CRC
binary arithmetic, multiplication by 2k left shifts a bit pattern by k places. Thus, given D and R, the quantity D⋅2rXOR R yields the d+r bit pattern shown in Figure 6.6. We’ll use this algebraic characterization of the d+r bit pattern from Figure 6.6 in our discussion below.
Let us now turn to the crucial question of how the sender computes R. Recall that we want to find R such that there is an n such that
D⋅2rXOR R=nG
That is, we want to choose R such that G divides into D⋅2rXOR R without remainder. If we XOR (that is, add modulo-2, without carry) R to both sides of the above equation, we get
D⋅2r=nG XOR R
This equation tells us that if we divide D⋅2r by G, the value of the remainder is precisely R. In other
words, we can calculate R as R=remainderD⋅2rG
Figure 6.7 illustrates this calculation for the case of D=101110, d=6, G=1001, and r=3. The 9 bits transmitted in this case are 101 110011. You should check these calculations for yourself and also
check that indeed D⋅2r=101011⋅G XOR R.
Figure 6.7 A sample CRC calculation
International standards have been defined for 8-, 12-, 16-, and 32-bit generators, G. The CRC-32 32-bit standard, which has been adopted in a number of link-level IEEE protocols, uses a generator of
GCRC-32=100000100110000010001110110110111
Each of the CRC standards can detect burst errors of fewer than r+1 bits. (This means that all
consecutive bit errors of r bits or fewer will be detected.) Furthermore, under appropriate assumptions, a burst of length greater than r+1 bits is detected with probability 1−0.5r. Also, each of the CRC standards
can detect any odd number of bit errors. See [Williams 1993] for a discussion of implementing CRC checks. The theory behind CRC codes and even more powerful codes is beyond the scope of this text.
The text [Schwartz 1980] provides an excellent introduction to this topic.
6.3 Multiple Access Links and Protocols
In the introduction to this chapter, we noted that there are two types of network links: point-to-point links and broadcast links. A point-to-point link consists of a single sender at one end of the link and a single receiver at the other end of the link. Many link-layer protocols have been designed for point-to-point links; the point-to-point protocol (PPP) and high-level data link control (HDLC) are two such protocols. The second type of link, a broadcast link, can have multiple sending and receiving nodes all connected
to the same, single, shared broadcast channel. The term broadcast is used here because when any one node transmits a frame, the channel broadcasts the frame and each of the other nodes receives a copy.
Ethernet and wireless LANs are examples of broadcast link-layer technologies. In this section we’ll take a step back from specific link-layer protocols and first examine a problem of central importance to the link layer: how to coordinate the access of multiple sending and receiving nodes to a shared broadcast channel—the multiple access problem. Broadcast channels are often used in LANs, networks that are geographically concentrated in a single building (or on a corporate or university campus). Thus, we’ll look at how multiple access channels are used in LANs at the end of this section.
We are all familiar with the notion of broadcasting—television has been using it since its invention. But traditional television is a one-way broadcast (that is, one fixed node transmitting to many receiving nodes), while nodes on a computer network broadcast channel can both send and receive. Perhaps a more apt human analogy for a broadcast channel is a cocktail party, where many people gather in a large room (the air providing the broadcast medium) to talk and listen. A second good analogy is something many readers will be familiar with—a classroom—where teacher(s) and student(s) similarly share the same, single, broadcast medium. A central problem in both scenarios is that of determining who gets to talk (that is, transmit into the channel) and when. As humans, we’ve evolved an elaborate set of protocols for sharing the broadcast channel:
“Give everyone a chance to speak.”
“Don’t speak until you are spoken to.”
“Don’t monopolize the conversation.”
“Raise your hand if you have a question.” “Don’t interrupt when someone is speaking.” “Don’t fall asleep when someone is talking.”
Computer networks similarly have protocols—so-called multiple access protocols—by which nodes
regulate their transmission into the shared broadcast channel. As shown in Figure 6.8, multiple access protocols are needed in a wide variety of network settings, including both wired and wireless access
networks, and satellite networks. Although technically each node accesses the broadcast channel through its adapter, in this section we will refer to the node as the sending and
Figure 6.8 Various multiple access channels
receiving device. In practice, hundreds or even thousands of nodes can directly communicate over a broadcast channel.
Because all nodes are capable of transmitting frames, more than two nodes can transmit frames at the same time. When this happens, all of the nodes receive multiple frames at the same time; that is, the transmitted frames collide at all of the receivers. Typically, when there is a collision, none of the receiving nodes can make any sense of any of the frames that were transmitted; in a sense, the signals of the colliding frames become inextricably tangled together. Thus, all the frames involved in the collision are lost, and the broadcast channel is wasted during the collision interval. Clearly, if many nodes want to transmit frames frequently, many transmissions will result in collisions, and much of the bandwidth of the broadcast channel will be wasted.
In order to ensure that the broadcast channel performs useful work when multiple nodes are active, it is
necessary to somehow coordinate the transmissions of the active nodes. This coordination job is the responsibility of the multiple access protocol. Over the past 40 years, thousands of papers and hundreds of PhD dissertations have been written on multiple access protocols; a comprehensive survey
of the first 20 years of this body of work is [Rom 1990]. Furthermore, active research in multiple access protocols continues due to the continued emergence of new types of links, particularly new wireless
links.
Over the years, dozens of multiple access protocols have been implemented in a variety of link-layer technologies. Nevertheless, we can classify just about any multiple access protocol as belonging to one of three categories: channel partitioning protocols, random access protocols, and taking-turns protocols. We’ll cover these categories of multiple access protocols in the following three subsections.
Let’s conclude this overview by noting that, ideally, a multiple access protocol for a broadcast channel of rate R bits per second should have the following desirable characteristics:
1. When only one node has data to send, that node has a throughput of R bps.
2. When M nodes have data to send, each of these nodes has a throughput of R/M bps. This need
not necessarily imply that each of the M nodes always has an instantaneous rate of R/M, but rather that each node should have an average transmission rate of R/M over some suitably
defined interval of time.
3. The protocol is decentralized; that is, there is no master node that represents a single point of failure for the network.
4. The protocol is simple, so that it is inexpensive to implement.
6.3.1 Channel Partitioning Protocols
Recall from our early discussion back in Section 1.3 that time-division multiplexing (TDM) and frequency-division multiplexing (FDM) are two techniques that can
Figure 6.9 A four-node TDM and FDM example
be used to partition a broadcast channel’s bandwidth among all nodes sharing that channel. As an example, suppose the channel supports N nodes and that the transmission rate of the channel is R bps.
TDM divides time into time frames and further divides each time frame into N time slots. (The TDM time frame should not be confused with the link-layer unit of data exchanged between sending and
receiving adapters, which is also called a frame. In order to reduce confusion, in this subsection we’ll refer to the link-layer unit of data exchanged as a packet.) Each time slot is then assigned to one of the
N nodes. Whenever a node has a packet to send, it transmits the packet’s bits during its assigned time slot in the revolving TDM frame. Typically, slot sizes are chosen so that a single packet can be
transmitted during a slot time. Figure 6.9 shows a simple four-node TDM example. Returning to our cocktail party analogy, a TDM-regulated cocktail party would allow one partygoer to speak for a fixed
period of time, then allow another partygoer to speak for the same amount of time, and so on. Once everyone had had a chance to talk, the pattern would repeat.
TDM is appealing because it eliminates collisions and is perfectly fair: Each node gets a dedicated transmission rate of R/N bps during each frame time. However, it has two major drawbacks. First, a
node is limited to an average rate of R/N bps even when it is the only node with packets to send. A second drawback is that a node must always wait for its turn in the transmission sequence—again, even
when it is the only node with a frame to send. Imagine the partygoer who is the only one with anything to say (and imagine that this is the even rarer circumstance where everyone wants to hear what that one person has to say). Clearly, TDM would be a poor choice for a multiple access protocol for this particular party.
While TDM shares the broadcast channel in time, FDM divides the R bps channel into different frequencies (each with a bandwidth of R/N) and assigns each frequency to one of the N nodes. FDM
thus creates N smaller channels of R/N bps out of the single, larger R bps channel. FDM shares both the advantages and drawbacks of TDM. It avoids collisions and divides the bandwidth fairly among the
N nodes. However, FDM also shares a principal disadvantage with TDM—a node is limited to a bandwidth of R/N, even when it is the only node with packets to send.
A third channel partitioning protocol is code division multiple access (CDMA). While TDM and FDM assign time slots and frequencies, respectively, to the nodes, CDMA assigns a different code to each
node. Each node then uses its unique code to encode the data bits it sends. If the codes are chosen
carefully, CDMA networks have the wonderful property that different nodes can transmit simultaneously and yet have their respective receivers correctly receive a sender’s encoded data bits (assuming the
receiver knows the sender’s code) in spite of interfering transmissions by other nodes. CDMA has been used in military systems for some time (due to its anti-jamming properties) and now has widespread civilian use, particularly in cellular telephony. Because CDMA’s use is so tightly tied to wireless
channels, we’ll save our discussion of the technical details of CDMA until Chapter 7. For now, it will suffice to know that CDMA codes, like time slots in TDM and frequencies in FDM, can be allocated to
the multiple access channel users.
6.3.2 Random Access Protocols
The second broad class of multiple access protocols are random access protocols. In a random access
protocol, a transmitting node always transmits at the full rate of the channel, namely, R bps. When there is a collision, each node involved in the collision repeatedly retransmits its frame (that is, packet) until its
frame gets through without a collision. But when a node experiences a collision, it doesn’t necessarily
retransmit the frame right away. Instead it waits a random delay before retransmitting the frame. Each node involved in a collision chooses independent random delays. Because the random delays are
independently chosen, it is possible that one of the nodes will pick a delay that is sufficiently less than the delays of the other colliding nodes and will therefore be able to sneak its frame into the channel without a collision.
There are dozens if not hundreds of random access protocols described in the literature [Rom 1990;
Bertsekas 1991]. In this section we’ll describe a few of the most commonly used random access
protocols—the ALOHA protocols [Abramson 1970; Abramson 1985; Abramson 2009] and the carrier
sense multiple access (CSMA) protocols [Kleinrock 1975b]. Ethernet [Metcalfe 1976] is a popular and widely deployed CSMA protocol.
Slotted ALOHA
Let’s begin our study of random access protocols with one of the simplest random access protocols, the slotted ALOHA protocol. In our description of slotted ALOHA, we assume the following:
All frames consist of exactly L bits.
Time is divided into slots of size L/R seconds (that is, a slot equals the time to transmit one frame).
Nodes start to transmit frames only at the beginnings of slots.
The nodes are synchronized so that each node knows when the slots begin.
If two or more frames collide in a slot, then all the nodes detect the collision event before the slot ends.
Let p be a probability, that is, a number between 0 and 1. The operation of slotted ALOHA in each node is simple:
When the node has a fresh frame to send, it waits until the beginning of the next slot and transmits the entire frame in the slot.
If there isn’t a collision, the node has successfully transmitted its frame and thus need not consider retransmitting the frame. (The node can prepare a new frame for transmission, if it has one.)
If there is a collision, the node detects the collision before the end of the slot. The node retransmits its frame in each subsequent slot with probability p until the frame is transmitted without a collision.
By retransmitting with probability p, we mean that the node effectively tosses a biased coin; the event heads corresponds to “retransmit,” which occurs with probability p. The event tails corresponds to “skip
the slot and toss the coin again in the next slot”; this occurs with probability (1−p). All nodes involved in the collision toss their coins independently.
Slotted ALOHA would appear to have many advantages. Unlike channel partitioning, slotted ALOHA
allows a node to transmit continuously at the full rate, R, when that node is the only active node. (A node is said to be active if it has frames to send.) Slotted ALOHA is also highly decentralized, because each
node detects collisions and independently decides when to retransmit. (Slotted ALOHA does, however, require the slots to be synchronized in the nodes; shortly we’ll discuss an unslotted version of the ALOHA protocol, as well as CSMA protocols, none of which require such synchronization.) Slotted ALOHA is also an extremely simple protocol.
Slotted ALOHA works well when there is only one active node, but how efficient is it when there are multiple active nodes? There are two possible efficiency
Figure 6.10 Nodes 1, 2, and 3 collide in the first slot. Node 2 finally succeeds in the fourth slot, node 1 in the eighth slot, and node 3 in the ninth slot
concerns here. First, as shown in Figure 6.10, when there are multiple active nodes, a certain fraction of the slots will have collisions and will therefore be “wasted.” The second concern is that another fraction
of the slots will be empty because all active nodes refrain from transmitting as a result of the probabilistic transmission policy. The only “unwasted” slots will be those in which exactly one node
transmits. A slot in which exactly one node transmits is said to be a successful slot. The efficiency of a slotted multiple access protocol is defined to be the long-run fraction of successful slots in the case when there are a large number of active nodes, each always having a large number of frames to send. Note that if no form of access control were used, and each node were to immediately retransmit after each collision, the efficiency would be zero. Slotted ALOHA clearly increases the efficiency beyond zero, but by how much?
We now proceed to outline the derivation of the maximum efficiency of slotted ALOHA. To keep this derivation simple, let’s modify the protocol a little and assume that each node attempts to transmit a
frame in each slot with probability p. (That is, we assume that each node always has a frame to send
and that the node transmits with probability p for a fresh frame as well as for a frame that has already
suffered a collision.) Suppose there are N nodes. Then the probability that a given slot is a successful slot is the probability that one of the nodes transmits and that the remaining N−1 nodes do not transmit.
The probability that a given node transmits is p; the probability that the remaining nodes do not transmit is (1−p)N−1. Therefore the probability a given node has a success is p(1−p)N−1. Because there are N nodes, the probability that any one of the N nodes has a success is Np(1−p)N−1.
Thus, when there are N active nodes, the efficiency of slotted ALOHA is Np(1−p)N−1. To obtain the maximum efficiency for N active nodes, we have to find the p* that maximizes this expression. (See the
homework problems for a general outline of this derivation.) And to obtain the maximum efficiency for a
large number of active nodes, we take the limit of Np*(1−p*)N−1 as N approaches infinity. (Again, see the homework problems.) After performing these calculations, we’ll find that the maximum efficiency of
the protocol is given by 1/e=0.37. That is, when a large number of nodes have many frames to transmit, then (at best) only 37 percent of the slots do useful work. Thus the effective transmission rate of the
channel is not R bps but only 0.37 R bps! A similar analysis also shows that 37 percent of the slots go empty and 26 percent of slots have collisions. Imagine the poor network administrator who has
purchased a 100-Mbps slotted ALOHA system, expecting to be able to use the network to transmit data among a large number of users at an aggregate rate of, say, 80 Mbps! Although the channel is capable of transmitting a given frame at the full channel rate of 100 Mbps, in the long run, the successful throughput of this channel will be less than 37 Mbps.
ALOHA
The slotted ALOHA protocol required that all nodes synchronize their transmissions to start at the
beginning of a slot. The first ALOHA protocol [Abramson 1970] was actually an unslotted, fully decentralized protocol. In pure ALOHA, when a frame first arrives (that is, a network-layer datagram is
passed down from the network layer at the sending node), the node immediately transmits the frame in its entirety into the broadcast channel. If a transmitted frame experiences a collision with one or more other transmissions, the node will then immediately (after completely transmitting its collided frame)
retransmit the frame with probability p. Otherwise, the node waits for a frame transmission time. After this wait, it then transmits the frame with probability p, or waits (remaining idle) for another frame time with probability 1 – p.
To determine the maximum efficiency of pure ALOHA, we focus on an individual node. We’ll make the same assumptions as in our slotted ALOHA analysis and take the frame transmission time to be the unit
of time. At any given time, the probability that a node is transmitting a frame is p. Suppose this frame begins transmission at time t0. As shown in Figure 6.11, in order for this frame to be successfully transmitted, no other nodes can begin their transmission in the interval of time [ t0−1,t0]. Such a
transmission would overlap with the beginning of the transmission of node i’s frame. The probability that all other nodes do not begin a transmission in this interval is (1−p)N−1. Similarly, no other node can
begin a transmission while node i is transmitting, as such a transmission would overlap with the latter part of node i’s transmission. The probability that all other nodes do not begin a transmission in this
interval is also (1−p)N−1. Thus, the probability that a given node has a successful transmission is p(1−p)2(N−1). By taking limits as in the slotted ALOHA case, we find that the maximum efficiency of the
pure ALOHA protocol is only 1/(2e)—exactly half that of slotted ALOHA. This then is the price to be paid for a fully decentralized ALOHA protocol.
Figure 6.11 Interfering transmissions in pure ALOHA
Carrier Sense Multiple Access (CSMA)
In both slotted and pure ALOHA, a node’s decision to transmit is made independently of the activity of the other nodes attached to the broadcast channel. In particular, a node neither pays attention to whether another node happens to be transmitting when it begins to transmit, nor stops transmitting if another node begins to interfere with its transmission. In our cocktail party analogy, ALOHA protocols are quite like a boorish partygoer who continues to chatter away regardless of whether other people are talking. As humans, we have human protocols that allow us not only to behave with more civility, but also to decrease the amount of time spent “colliding” with each other in conversation and, consequently, to increase the amount of data we exchange in our conversations. Specifically, there are two important rules for polite human conversation:
Listen before speaking. If someone else is speaking, wait until they are finished. In the networking world, this is called carrier sensing—a node listens to the channel before transmitting. If a frame
from another node is currently being transmitted into the channel, a node then waits until it detects no transmissions for a short amount of time and then begins transmission.
If someone else begins talking at the same time, stop talking. In the networking world, this is called collision detection—a transmitting node listens to the channel while it is transmitting. If it
detects that another node is transmitting an interfering frame, it stops transmitting and waits a random amount of time before repeating the sense-and-transmit-when-idle cycle.
These two rules are embodied in the family of carrier sense multiple access (CSMA) and CSMA with collision detection (CSMA/CD) protocols [Kleinrock 1975b; Metcalfe 1976; Lam 1980; Rom 1990].
Many variations on CSMA and CASE HISTORY
NORM ABRAMSON AND ALOHANET
Norm Abramson, a PhD engineer, had a passion for surfing and an interest in packet switching. This combination of interests brought him to the University of Hawaii in 1969. Hawaii consists of many mountainous islands, making it difficult to install and operate land-based networks. When not surfing, Abramson thought about how to design a network that does packet switching over radio. The network he designed had one central host and several secondary nodes scattered over the Hawaiian Islands. The network had two channels, each using a different frequency band. The downlink channel broadcasted packets from the central host to the secondary hosts; and the upstream channel sent packets from the secondary hosts to the central host. In addition to sending informational packets, the central host also sent on the downstream channel an acknowledgment for each packet successfully received from the secondary hosts.
Because the secondary hosts transmitted packets in a decentralized fashion, collisions on the upstream channel inevitably occurred. This observation led Abramson to devise the pure ALOHA protocol, as described in this chapter. In 1970, with continued funding from ARPA, Abramson connected his ALOHAnet to the ARPAnet. Abramson’s work is important not only because it was the first example of a radio packet network, but also because it inspired Bob Metcalfe. A few years later, Metcalfe modified the ALOHA protocol to create the CSMA/CD protocol and the Ethernet LAN.
CSMA/CD have been proposed. Here, we’ll consider a few of the most important, and fundamental, characteristics of CSMA and CSMA/CD.
The first question that you might ask about CSMA is why, if all nodes perform carrier sensing, do collisions occur in the first place? After all, a node will refrain from transmitting whenever it senses that another node is transmitting. The answer to the question can best be illustrated using space-time
diagrams [Molle 1987]. Figure 6.12 shows a space-time diagram of four nodes (A, B, C, D) attached
to a linear broadcast bus. The horizontal axis shows the position of each node in space; the vertical axis
represents time.
At time t0, node B senses the channel is idle, as no other nodes are currently transmitting. Node B thus begins transmitting, with its bits propagating in both directions along the broadcast medium. The
downward propagation of B’s bits in Figure 6.12 with increasing time indicates that a nonzero amount of time is needed for B’s bits actually to propagate (albeit at near the speed of light) along the broadcast
medium. At time t1(t1>t0), node D has a frame to send. Although node B is currently transmitting at time t1, the bits being transmitted by B have yet to reach D, and thus D senses
Figure 6.12 Space-time diagram of two CSMA nodes with colliding transmissions
the channel idle at t1. In accordance with the CSMA protocol, D thus begins transmitting its frame. A short time later, B’s transmission begins to interfere with D’s transmission at D. From Figure 6.12, it is
evident that the end-to-end channel propagation delay of a broadcast channel—the time it takes for a signal to propagate from one of the nodes to another—will play a crucial role in determining its performance. The longer this propagation delay, the larger the chance that a carrier-sensing node is not yet able to sense a transmission that has already begun at another node in the network.
Carrier Sense Multiple Access with Collision Dection (CSMA/CD)
In Figure 6.12, nodes do not perform collision detection; both B and D continue to transmit their frames in their entirety even though a collision has occurred. When a node performs collision detection, it
ceases transmission as soon as it detects a collision. Figure 6.13 shows the same scenario as in Figure 6.12, except that the two
Figure 6.13 CSMA with collision detection
nodes each abort their transmission a short time after detecting a collision. Clearly, adding collision detection to a multiple access protocol will help protocol performance by not transmitting a useless, damaged (by interference with a frame from another node) frame in its entirety.
Before analyzing the CSMA/CD protocol, let us now summarize its operation from the perspective of an adapter (in a node) attached to a broadcast channel:
1. The adapter obtains a datagram from the network layer, prepares a link-layer frame, and puts the frame adapter buffer.
2. If the adapter senses that the channel is idle (that is, there is no signal energy entering the adapter from the channel), it starts to transmit the frame. If, on the other hand, the adapter
senses that the channel is busy, it waits until it senses no signal energy and then starts to transmit the frame.
3. While transmitting, the adapter monitors for the presence of signal energy coming from other adapters using the broadcast channel.
4. If the adapter transmits the entire frame without detecting signal energy from other adapters, the
adapter is finished with the frame. If, on the other hand, the adapter detects signal energy from other adapters while transmitting, it aborts the transmission (that is, it stops transmitting its frame).
5. After aborting, the adapter waits a random amount of time and then returns to step 2.
The need to wait a random (rather than fixed) amount of time is hopefully clear—if two nodes transmitted frames at the same time and then both waited the same fixed amount of time, they’d continue colliding forever. But what is a good interval of time from which to choose the random backoff time? If the interval is large and the number of colliding nodes is small, nodes are likely to wait a large amount of time (with the channel remaining idle) before repeating the sense-and-transmit-when-idle step. On the other hand, if the interval is small and the number of colliding nodes is large, it’s likely that the chosen random values will be nearly the same, and transmitting nodes will again collide. What we’d like is an interval that is short when the number of colliding nodes is small, and long when the number of colliding nodes is large.
The binary exponential backoff algorithm, used in Ethernet as well as in DOCSIS cable network
multiple access protocols [DOCSIS 2011], elegantly solves this problem. Specifically, when transmitting
a frame that has already experienced n collisions, a node chooses the value of K at random from {
0,1,2,…2n−1}. Thus, the more collisions experienced by a frame, the larger the interval from which K is
chosen. For Ethernet, the actual amount of time a node waits is K⋅512 bit times (i.e., K times the amount
of time needed to send 512 bits into the Ethernet) and the maximum value that n can take is capped at 10.
Let’s look at an example. Suppose that a node attempts to transmit a frame for the first time and while transmitting it detects a collision. The node then chooses K=0 with probability 0.5 or chooses K=1 with probability 0.5. If the node chooses K=0, then it immediately begins sensing the channel. If the node chooses K=1, it waits 512 bit times (e.g., 5.12 microseconds for a 100 Mbps Ethernet) before beginning
the sense-and-transmit-when-idle cycle. After a second collision, K is chosen with equal probability from
{0,1,2,3}. After three collisions, K is chosen with equal probability from {0,1,2,3,4,5,6,7}. After 10 or more
collisions, K is chosen with equal probability from {0,1,2,…, 1023}. Thus, the size of the sets from which
K is chosen grows exponentially with the number of collisions; for this reason this algorithm is referred to as binary exponential backoff.
We also note here that each time a node prepares a new frame for transmission, it runs the CSMA/CD algorithm, not taking into account any collisions that may have occurred in the recent past. So it is possible that a node with a new frame will immediately be able to sneak in a successful transmission while several other nodes are in the exponential backoff state.
CSMA/CD Efficiency
When only one node has a frame to send, the node can transmit at the full channel rate (e.g., for Ethernet typical rates are 10 Mbps, 100 Mbps, or 1 Gbps). However, if many nodes have frames to transmit, the effective transmission rate of the channel can be much less. We define the efficiency of CSMA/CD to be the long-run fraction of time during which frames are being transmitted on the channel without collisions when there is a large number of active nodes, with each node having a large number
of frames to send. In order to present a closed-form approximation of the efficiency of Ethernet, let dprop denote the maximum time it takes signal energy to propagate between any two adapters. Let dtrans be the
time to transmit a maximum-size frame (approximately 1.2 msecs for a 10 Mbps Ethernet). A derivation
of the efficiency of CSMA/CD is beyond the scope of this book (see [Lam 1980] and [Bertsekas 1991]). Here we simply state the following approximation:
Efficiency=11+5dprop/dtrans
We see from this formula that as dprop approaches 0, the efficiency approaches 1. This matches our intuition that if the propagation delay is zero, colliding nodes will abort immediately without wasting the
channel. Also, as dtrans becomes very large, efficiency approaches 1. This is also intuitive because when a frame grabs the channel, it will hold on to the channel for a very long time; thus, the channel will be doing productive work most of the time.
6.3.3 Taking-Turns Protocols
Recall that two desirable properties of a multiple access protocol are (1) when only one node is active, the active node has a throughput of R bps, and (2) when M nodes are active, then each active node has
a throughput of nearly R/M bps. The ALOHA and CSMA protocols have this first property but not the second. This has motivated researchers to create another class of protocols—the taking-turns
protocols. As with random access protocols, there are dozens of taking-turns protocols, and each one of these protocols has many variations. We’ll discuss two of the more important protocols here. The first one is the polling protocol. The polling protocol requires one of the nodes to be designated as a master node. The master node polls each of the nodes in a round-robin fashion. In particular, the master node first sends a message to node 1, saying that it (node 1) can transmit up to some maximum number of frames. After node 1 transmits some frames, the master node tells node 2 it (node 2) can transmit up to the maximum number of frames. (The master node can determine when a node has finished sending its frames by observing the lack of a signal on the channel.) The procedure continues in this manner, with the master node polling each of the nodes in a cyclic manner.
The polling protocol eliminates the collisions and empty slots that plague random access protocols. This allows polling to achieve a much higher efficiency. But it also has a few drawbacks. The first drawback is that the protocol introduces a polling delay—the amount of time required to notify a node that it can
transmit. If, for example, only one node is active, then the node will transmit at a rate less than R bps, as the master node must poll each of the inactive nodes in turn each time the active node has sent its
maximum number of frames. The second drawback, which is potentially more serious, is that if the master node fails, the entire channel becomes inoperative. The 802.15 protocol and the Bluetooth
protocol we will study in Section 6.3 are examples of polling protocols.
The second taking-turns protocol is the token-passing protocol. In this protocol there is no master node. A small, special-purpose frame known as a token is exchanged among the nodes in some fixed order. For example, node 1 might always send the token to node 2, node 2 might always send the token
to node 3, and node N might always send the token to node 1. When a node receives a token, it holds onto the token only if it has some frames to transmit; otherwise, it immediately forwards the token to the
next node. If a node does have frames to transmit when it receives the token, it sends up to a maximum number of frames and then forwards the token to the next node. Token passing is decentralized and highly efficient. But it has its problems as well. For example, the failure of one node can crash the entire channel. Or if a node accidentally neglects to release the token, then some recovery procedure must be invoked to get the token back in circulation. Over the years many token-passing protocols have been
developed, including the fiber distributed data interface (FDDI) protocol [Jain 1994] and the IEEE 802.5 token ring protocol [IEEE 802.5 2012], and each one had to address these as well as other sticky
issues.
6.3.4 DOCSIS: The Link-Layer Protocol for Cable Internet Access
In the previous three subsections, we’ve learned about three broad classes of multiple access protocols: channel partitioning protocols, random access protocols, and taking turns protocols. A cable access
network will make for an excellent case study here, as we’ll find aspects of each of these three classes of multiple access protocols with the cable access network!
Recall from Section 1.2.1 that a cable access network typically connects several thousand residential cable modems to a cable modem termination system (CMTS) at the cable network headend. The Data-
Over-Cable Service Interface Specifications (DOCSIS) [DOCSIS 2011] specifies the cable data network architecture and its protocols. DOCSIS uses FDM to divide the downstream (CMTS to modem) and
upstream (modem to CMTS) network segments into multiple frequency channels. Each downstream channel is 6 MHz wide, with a maximum throughput of approximately 40 Mbps per channel (although this data rate is seldom seen at a cable modem in practice); each upstream channel has a maximum channel width of 6.4 MHz, and a maximum upstream throughput of approximately 30 Mbps. Each upstream and
Figure 6.14 Upstream and downstream channels between CMTS and cable modems
downstream channel is a broadcast channel. Frames transmitted on the downstream channel by the CMTS are received by all cable modems receiving that channel; since there is just a single CMTS transmitting into the downstream channel, however, there is no multiple access problem. The upstream direction, however, is more interesting and technically challenging, since multiple cable modems share the same upstream channel (frequency) to the CMTS, and thus collisions can potentially occur.
As illustrated in Figure 6.14, each upstream channel is divided into intervals of time (TDM-like), each containing a sequence of mini-slots during which cable modems can transmit to the CMTS. The CMTS
explicitly grants permission to individual cable modems to transmit during specific mini-slots. The CMTS accomplishes this by sending a control message known as a MAP message on a downstream channel to specify which cable modem (with data to send) can transmit during which mini-slot for the interval of time specified in the control message. Since mini-slots are explicitly allocated to cable modems, the CMTS can ensure there are no colliding transmissions during a mini-slot.
But how does the CMTS know which cable modems have data to send in the first place? This is accomplished by having cable modems send mini-slot-request frames to the CMTS during a special set
of interval mini-slots that are dedicated for this purpose, as shown in Figure 6.14. These mini-slot- request frames are transmitted in a random access manner and so may collide with each other. A cable
modem can neither sense whether the upstream channel is busy nor detect collisions. Instead, the cable modem infers that its mini-slot-request frame experienced a collision if it does not receive a response to the requested allocation in the next downstream control message. When a collision is inferred, a cable modem uses binary exponential backoff to defer the retransmission of its mini-slot-request frame to a future time slot. When there is little traffic on the upstream channel, a cable modem may actually transmit data frames during slots nominally assigned for mini-slot-request frames (and thus avoid having
to wait for a mini-slot assignment).
A cable access network thus serves as a terrific example of multiple access protocols in action—FDM, TDM, random access, and centrally allocated time slots all within one network!
6.4 Switched Local Area Networks
Having covered broadcast networks and multiple access protocols in the previous section, let’s turn our
attention next to switched local networks. Figure 6.15 shows a switched local network connecting three departments, two servers and a router with four switches. Because these switches operate at the link
layer, they switch link-layer frames (rather than network-layer datagrams), don’t recognize network-layer addresses, and don’t use routing algorithms like RIP or OSPF to determine
Figure 6.15 An institutional network connected together by four switches
paths through the network of layer-2 switches. Instead of using IP addresses, we will soon see that they use link-layer addresses to forward link-layer frames through the network of switches. We’ll begin our
study of switched LANs by first covering link-layer addressing (Section 6.4.1). We then examine the celebrated Ethernet protocol (Section 6.5.2). After examining link-layer addressing and Ethernet, we’ll
look at how link-layer switches operate (Section 6.4.3), and then see (Section 6.4.4) how these switches are often used to build large-scale LANs.
6.4.1 Link-Layer Addressing and ARP
Hosts and routers have link-layer addresses. Now you might find this surprising, recalling from Chapter 4 that hosts and routers have network-layer addresses as well. You might be asking, why in the world
do we need to have addresses at both the network and link layers? In addition to describing the syntax and function of the link-layer addresses, in this section we hope to shed some light on why the two layers of addresses are useful and, in fact, indispensable. We’ll also cover the Address Resolution Protocol (ARP), which provides a mechanism to translate IP addresses to link-layer addresses.
MAC Addresses
In truth, it is not hosts and routers that have link-layer addresses but rather their adapters (that is, network interfaces) that have link-layer addresses. A host or router with multiple network interfaces will thus have multiple link-layer addresses associated with it, just as it would also have multiple IP addresses associated with it. It’s important to note, however, that link-layer switches do not have link- layer addresses associated with their interfaces that connect to hosts and routers. This is because the job of the link-layer switch is to carry datagrams between hosts and routers; a switch does this job transparently, that is, without the host or router having to explicitly address the frame to the intervening
switch. This is illustrated in Figure 6.16. A link-layer address is variously called a LAN address, a physical address, or a MAC address. Because MAC address seems to be the most popular term, we’ll
henceforth refer to link-layer addresses as MAC addresses. For most LANs (including Ethernet and
802.11 wireless LANs), the MAC address is 6 bytes long, giving 248 possible MAC addresses. As shown
in Figure 6.16, these 6-byte addresses are typically expressed in hexadecimal notation, with each byte of the address expressed as a pair of hexadecimal numbers. Although MAC addresses were designed
to be permanent, it is now possible to change an adapter’s MAC address via software. For the rest of this section, however, we’ll assume that an adapter’s MAC address is fixed.
One interesting property of MAC addresses is that no two adapters have the same address. This might seem surprising given that adapters are manufactured in many countries by many companies. How does a company manufacturing adapters in Taiwan make sure that it is using different addresses from a company manufacturing
Figure 6.16 Each interface connected to a LAN has a unique MAC address
adapters in Belgium? The answer is that the IEEE manages the MAC address space. In particular, when a company wants to manufacture adapters, it purchases a chunk of the address space consisting of 224
addresses for a nominal fee. IEEE allocates the chunk of 224 addresses by fixing the first 24 bits of a MAC address and letting the company create unique combinations of the last 24 bits for each adapter.
An adapter’s MAC address has a flat structure (as opposed to a hierarchical structure) and doesn’t change no matter where the adapter goes. A laptop with an Ethernet interface always has the same MAC address, no matter where the computer goes. A smartphone with an 802.11 interface always has the same MAC address, no matter where the smartphone goes. Recall that, in contrast, IP addresses have a hierarchical structure (that is, a network part and a host part), and a host’s IP addresses needs to be changed when the host moves, i.e., changes the network to which it is attached. An adapter’s MAC address is analogous to a person’s social security number, which also has a flat addressing structure and which doesn’t change no matter where the person goes. An IP address is analogous to a person’s postal address, which is hierarchical and which must be changed whenever a person moves. Just as a person may find it useful to have both a postal address and a social security number, it is useful for a host and router interfaces to have both a network-layer address and a MAC address.
When an adapter wants to send a frame to some destination adapter, the sending adapter inserts the destination adapter’s MAC address into the frame and then sends the frame into the LAN. As we will soon see, a switch occasionally broadcasts an incoming frame onto all of its interfaces. We’ll see in
Chapter 7 that 802.11 also broadcasts frames. Thus, an adapter may receive a frame that isn’t addressed to it. Thus, when an adapter receives a frame, it will check to see whether the destination
MAC address in the frame matches its own MAC address. If there is a match, the adapter extracts the enclosed datagram and passes the datagram up the protocol stack. If there isn’t a match, the adapter discards the frame, without passing the network-layer datagram up. Thus, the destination only will be
interrupted when the frame is received.
However, sometimes a sending adapter does want all the other adapters on the LAN to receive and
process the frame it is about to send. In this case, the sending adapter inserts a special MAC broadcast address into the destination address field of the frame. For LANs that use 6-byte addresses (such as
Ethernet and 802.11), the broadcast address is a string of 48 consecutive 1s (that is, FF-FF-FF-FF-FF- FF in hexadecimal notation).
Address Resolution Protocol (ARP)
Because there are both network-layer addresses (for example, Internet IP addresses) and link-layer addresses (that is, MAC addresses), there is a need to translate between them. For the Internet, this is the job of the Address Resolution Protocol (ARP) [RFC 826].
To understand the need for a protocol such as ARP, consider the network shown in Figure 6.17. In this simple example, each host and router has a single IP address and single MAC address. As usual, IP
addresses are shown in dotted-decimal PRINCIPLES IN PRACTICE
KEEPING THE LAYERS INDEPENDENT
There are several reasons why hosts and router interfaces have MAC addresses in addition to network-layer addresses. First, LANs are designed for arbitrary network-layer protocols, not just for IP and the Internet. If adapters were assigned IP addresses rather than “neutral” MAC addresses, then adapters would not easily be able to support other network-layer protocols (for example, IPX or DECnet). Second, if adapters were to use network-layer addresses instead of MAC addresses, the network-layer address would have to be stored in the adapter RAM and reconfigured every time the adapter was moved (or powered up). Another option is to not use any addresses in the adapters and have each adapter pass the data (typically, an IP datagram) of each frame it receives up the protocol stack. The network layer could then check for a matching network-layer address. One problem with this option is that the host would be interrupted by every frame sent on the LAN, including by frames that were destined for other hosts on the same broadcast LAN. In summary, in order for the layers to be largely independent building blocks in a network architecture, different layers need to have their own addressing scheme. We have now seen three types of addresses: host names for the application layer, IP addresses for the network layer, and MAC addresses for the link layer.
Figure 6.17 Each interface on a LAN has an IP address and a MAC address
notation and MAC addresses are shown in hexadecimal notation. For the purposes of this discussion, we will assume in this section that the switch broadcasts all frames; that is, whenever a switch receives a frame on one interface, it forwards the frame on all of its other interfaces. In the next section, we will provide a more accurate explanation of how switches operate.
Now suppose that the host with IP address 222.222.222.220 wants to send an IP datagram to host 222.222.222.222. In this example, both the source and destination are in the same subnet, in the
addressing sense of Section 4.3.3. To send a datagram, the source must give its adapter not only the IP datagram but also the MAC address for destination 222.222.222.222. The sending adapter will then
construct a link-layer frame containing the destination’s MAC address and send the frame into the LAN.
The important question addressed in this section is, How does the sending host determine the MAC address for the destination host with IP address 222.222.222.222? As you might have guessed, it uses ARP. An ARP module in the sending host takes any IP address on the same LAN as input, and returns the corresponding MAC address. In the example at hand, sending host 222.222.222.220 provides its ARP module the IP address 222.222.222.222, and the ARP module returns the corresponding MAC address 49-BD-D2-C7-56-2A.
So we see that ARP resolves an IP address to a MAC address. In many ways it is analogous to DNS
(studied in Section 2.5), which resolves host names to IP addresses. However, one important difference between the two resolvers is that DNS resolves host names for hosts anywhere in the Internet, whereas
ARP resolves IP addresses only for hosts and router interfaces on the same subnet. If a node in California were to try to use ARP to resolve the IP address for a node in Mississippi, ARP would return with an error.
Figure 6.18 A possible ARP table in 222.222.222.220
Now that we have explained what ARP does, let’s look at how it works. Each host and router has an
ARP table in its memory, which contains mappings of IP addresses to MAC addresses. Figure 6.18 shows what an ARP table in host 222.222.222.220 might look like. The ARP table also contains a time-
to-live (TTL) value, which indicates when each mapping will be deleted from the table. Note that a table does not necessarily contain an entry for every host and router on the subnet; some may have never been entered into the table, and others may have expired. A typical expiration time for an entry is 20 minutes from when an entry is placed in an ARP table.
Now suppose that host 222.222.222.220 wants to send a datagram that is IP-addressed to another host or router on that subnet. The sending host needs to obtain the MAC address of the destination given the IP address. This task is easy if the sender’s ARP table has an entry for the destination node. But what if the ARP table doesn’t currently have an entry for the destination? In particular, suppose 222.222.222.220 wants to send a datagram to 222.222.222.222. In this case, the sender uses the ARP protocol to resolve the address. First, the sender constructs a special packet called an ARP packet. An ARP packet has several fields, including the sending and receiving IP and MAC addresses. Both ARP query and response packets have the same format. The purpose of the ARP query packet is to query all the other hosts and routers on the subnet to determine the MAC address corresponding to the IP address that is being resolved.
Returning to our example, 222.222.222.220 passes an ARP query packet to the adapter along with an indication that the adapter should send the packet to the MAC broadcast address, namely, FF-FF-FF- FF-FF-FF. The adapter encapsulates the ARP packet in a link-layer frame, uses the broadcast address for the frame’s destination address, and transmits the frame into the subnet. Recalling our social security number/postal address analogy, an ARP query is equivalent to a person shouting out in a crowded room of cubicles in some company (say, AnyCorp): “What is the social security number of the person whose postal address is Cubicle 13, Room 112, AnyCorp, Palo Alto, California?” The frame containing the ARP query is received by all the other adapters on the subnet, and (because of the broadcast address) each adapter passes the ARP packet within the frame up to its ARP module. Each of these ARP modules checks to see if its IP address matches the destination IP address in the ARP packet. The one with a match sends back to the querying host a response ARP packet with the desired mapping. The querying host 222.222.222.220 can then update its ARP table and send its IP datagram, encapsulated in a link-layer frame whose destination MAC is that of the host or router responding to the earlier ARP query.
There are a couple of interesting things to note about the ARP protocol. First, the query ARP message is sent within a broadcast frame, whereas the response ARP message is sent within a standard frame. Before reading on you should think about why this is so. Second, ARP is plug-and-play; that is, an ARP table gets built automatically—it doesn’t have to be configured by a system administrator. And if a host becomes disconnected from the subnet, its entry is eventually deleted from the other ARP tables in the subnet.
Students often wonder if ARP is a link-layer protocol or a network-layer protocol. As we’ve seen, an ARP packet is encapsulated within a link-layer frame and thus lies architecturally above the link layer. However, an ARP packet has fields containing link-layer addresses and thus is arguably a link-layer protocol, but it also contains network-layer addresses and thus is also arguably a network-layer protocol. In the end, ARP is probably best considered a protocol that straddles the boundary between the link and
network layers—not fitting neatly into the simple layered protocol stack we studied in Chapter 1. Such are the complexities of real-world protocols!
Sending a Datagram off the Subnet
It should now be clear how ARP operates when a host wants to send a datagram to another host on the
same subnet. But now let’s look at the more complicated situation when a host on a subnet wants to
send a network-layer datagram to a host off the subnet (that is, across a router onto another subnet).
Let’s discuss this issue in the context of Figure 6.19, which shows a simple network consisting of two subnets interconnected by a router.
There are several interesting things to note about Figure 6.19. Each host has exactly one IP address and one adapter. But, as discussed in Chapter 4, a router has an IP address for each of its interfaces.
For each router interface there is also an ARP module (in the router) and an adapter. Because the
router in Figure 6.19 has two interfaces, it has two IP addresses, two ARP modules, and two adapters. Of course, each adapter in the network has its own MAC address.
Figure 6.19 Two subnets interconnected by a router
Also note that Subnet 1 has the network address 111.111.111/24 and that Subnet 2 has the network address 222.222.222/24. Thus all of the interfaces connected to Subnet 1 have addresses of the form 111.111.111.xxx and all of the interfaces connected to Subnet 2 have addresses of the form 222.222.222.xxx.
Now let’s examine how a host on Subnet 1 would send a datagram to a host on Subnet 2. Specifically, suppose that host 111.111.111.111 wants to send an IP datagram to a host 222.222.222.222. The sending host passes the datagram to its adapter, as usual. But the sending host must also indicate to its adapter an appropriate destination MAC address. What MAC address should the adapter use? One might be tempted to guess that the appropriate MAC address is that of the adapter for host 222.222.222.222, namely, 49-BD-D2-C7-56-2A. This guess, however, would be wrong! If the sending adapter were to use that MAC address, then none of the adapters on Subnet 1 would bother to pass
the IP datagram up to its network layer, since the frame’s destination address would not match the MAC address of any adapter on Subnet 1. The datagram would just die and go to datagram heaven.
If we look carefully at Figure 6.19, we see that in order for a datagram to go from 111.111.111.111 to a host on Subnet 2, the datagram must first be sent to the router interface 111.111.111.110, which is the
IP address of the first-hop router on the path to the final destination. Thus, the appropriate MAC address for the frame is the address of the adapter for router interface 111.111.111.110, namely, E6-E9-00-17- BB-4B. How does the sending host acquire the MAC address for 111.111.111.110? By using ARP, of course! Once the sending adapter has this MAC address, it creates a frame (containing the datagram addressed to 222.222.222.222) and sends the frame into Subnet 1. The router adapter on Subnet 1 sees that the link-layer frame is addressed to it, and therefore passes the frame to the network layer of the router. Hooray—the IP datagram has successfully been moved from source host to the router! But we are not finished. We still have to move the datagram from the router to the destination. The router now has to determine the correct interface on which the datagram is to be forwarded. As discussed in
Chapter 4, this is done by consulting a forwarding table in the router. The forwarding table tells the router that the datagram is to be forwarded via router interface 222.222.222.220. This interface then
passes the datagram to its adapter, which encapsulates the datagram in a new frame and sends the frame into Subnet 2. This time, the destination MAC address of the frame is indeed the MAC address of the ultimate destination. And how does the router obtain this destination MAC address? From ARP, of course!
ARP for Ethernet is defined in RFC 826. A nice introduction to ARP is given in the TCP/IP tutorial, RFC 1180. We’ll explore ARP in more detail in the homework problems.
6.4.2 Ethernet
Ethernet has pretty much taken over the wired LAN market. In the 1980s and the early 1990s, Ethernet faced many challenges from other LAN technologies, including token ring, FDDI, and ATM. Some of these other technologies succeeded in capturing a part of the LAN market for a few years. But since its invention in the mid-1970s, Ethernet has continued to evolve and grow and has held on to its dominant position. Today, Ethernet is by far the most prevalent wired LAN technology, and it is likely to remain so for the foreseeable future. One might say that Ethernet has been to local area networking what the Internet has been to global networking.
There are many reasons for Ethernet’s success. First, Ethernet was the first widely deployed high-speed LAN. Because it was deployed early, network administrators became intimately familiar with Ethernet— its wonders and its quirks—and were reluctant to switch over to other LAN technologies when they came on the scene. Second, token ring, FDDI, and ATM were more complex and expensive than Ethernet, which further discouraged network administrators from switching over. Third, the most compelling reason to switch to another LAN technology (such as FDDI or ATM) was usually the higher data rate of the new technology; however, Ethernet always fought back, producing versions that operated at equal data rates or higher. Switched Ethernet was also introduced in the early 1990s, which further increased its effective data rates. Finally, because Ethernet has been so popular, Ethernet hardware (in particular, adapters and switches) has become a commodity and is remarkably cheap.
The original Ethernet LAN was invented in the mid-1970s by Bob Metcalfe and David Boggs. The original Ethernet LAN used a coaxial bus to interconnect the nodes. Bus topologies for Ethernet actually persisted throughout the 1980s and into the mid-1990s. Ethernet with a bus topology is a broadcast LAN
—all transmitted frames travel to and are processed by all adapters connected to the bus. Recall that we covered Ethernet’s CSMA/CD multiple access protocol with binary exponential backoff in Section 6.3.2.
By the late 1990s, most companies and universities had replaced their LANs with Ethernet installations using a hub-based star topology. In such an installation the hosts (and routers) are directly connected to a hub with twisted-pair copper wire. A hub is a physical-layer device that acts on individual bits rather than frames. When a bit, representing a zero or a one, arrives from one interface, the hub simply re- creates the bit, boosts its energy strength, and transmits the bit onto all the other interfaces. Thus, Ethernet with a hub-based star topology is also a broadcast LAN—whenever a hub receives a bit from one of its interfaces, it sends a copy out on all of its other interfaces. In particular, if a hub receives frames from two different interfaces at the same time, a collision occurs and the nodes that created the frames must retransmit.
In the early 2000s Ethernet experienced yet another major evolutionary change. Ethernet installations continued to use a star topology, but the hub at the center was replaced with a switch. We’ll be examining switched Ethernet in depth later in this chapter. For now, we only mention that a switch is not only “collision-less” but is also a bona-fide store-and-forward packet switch; but unlike routers, which operate up through layer 3, a switch operates only up through layer 2.
Figure 6.20 Ethernet frame structure
Ethernet Frame Structure
We can learn a lot about Ethernet by examining the Ethernet frame, which is shown in Figure 6.20. To give this discussion about Ethernet frames a tangible context, let’s consider sending an IP datagram
from one host to another host, with both hosts on the same Ethernet LAN (for example, the Ethernet
LAN in Figure 6.17.) (Although the payload of our Ethernet frame is an IP datagram, we note that an Ethernet frame can carry other network-layer packets as well.) Let the sending adapter, adapter A, have
the MAC address AA-AA-AA-AA-AA-AA and the receiving adapter, adapter B, have the MAC address BB-BB-BB-BB-BB-BB. The sending adapter encapsulates the IP datagram within an Ethernet frame and passes the frame to the physical layer. The receiving adapter receives the frame from the physical layer, extracts the IP datagram, and passes the IP datagram to the network layer. In this context, let’s now
examine the six fields of the Ethernet frame, as shown in Figure 6.20.
Data field (46 to 1,500 bytes). This field carries the IP datagram. The maximum transmission unit
(MTU) of Ethernet is 1,500 bytes. This means that if the IP datagram exceeds 1,500 bytes, then the
host has to fragment the datagram, as discussed in Section 4.3.2. The minimum size of the data field is 46 bytes. This means that if the IP datagram is less than 46 bytes, the data field has to be
“stuffed” to fill it out to 46 bytes. When stuffing is used, the data passed to the network layer contains the stuffing as well as an IP datagram. The network layer uses the length field in the IP datagram header to remove the stuffing.
Destination address (6 bytes). This field contains the MAC address of the destination adapter, BB- BB-BB-BB-BB-BB. When adapter B receives an Ethernet frame whose destination address is either
BB-BB-BB-BB-BB-BB or the MAC broadcast address, it passes the contents of the frame’s data field to the network layer; if it receives a frame with any other MAC address, it discards the frame.
Source address (6 bytes). This field contains the MAC address of the adapter that transmits the frame onto the LAN, in this example, AA-AA-AA-AA-AA-AA.
Type field (2 bytes). The type field permits Ethernet to multiplex network-layer protocols. To understand this, we need to keep in mind that hosts can use other network-layer protocols besides
IP. In fact, a given host may support multiple network-layer protocols using different protocols for different applications. For this reason, when the Ethernet frame arrives at adapter B, adapter B needs to know to which network-layer protocol it should pass (that is, demultiplex) the contents of the data field. IP and other network-layer protocols (for example, Novell IPX or AppleTalk) each have their own, standardized type number. Furthermore, the ARP protocol (discussed in the previous
section) has its own type number, and if the arriving frame contains an ARP packet (i.e., has a type field of 0806 hexadecimal), the ARP packet will be demultiplexed up to the ARP protocol. Note that the type field is analogous to the protocol field in the network-layer datagram and the port-number fields in the transport-layer segment; all of these fields serve to glue a protocol at one layer to a protocol at the layer above.
Cyclic redundancy check (CRC) (4 bytes). As discussed in Section 6.2.3, the purpose of the CRC field is to allow the receiving adapter, adapter B, to detect bit errors in the frame.
Preamble (8 bytes). The Ethernet frame begins with an 8-byte preamble field. Each of the first 7 bytes of the preamble has a value of 10101010; the last byte is 10101011. The first 7 bytes of the
preamble serve to “wake up” the receiving adapters and to synchronize their clocks to that of the sender’s clock. Why should the clocks be out of synchronization? Keep in mind that adapter A aims to transmit the frame at 10 Mbps, 100 Mbps, or 1 Gbps, depending on the type of Ethernet LAN. However, because nothing is absolutely perfect, adapter A will not transmit the frame at exactly the
target rate; there will always be some drift from the target rate, a drift which is not known a priori by the other adapters on the LAN. A receiving adapter can lock onto adapter A’s clock simply by locking
onto the bits in the first 7 bytes of the preamble. The last 2 bits of the eighth byte of the preamble (the first two consecutive 1s) alert adapter B that the “important stuff” is about to come.
All of the Ethernet technologies provide connectionless service to the network layer. That is, when adapter A wants to send a datagram to adapter B, adapter A encapsulates the datagram in an Ethernet frame and sends the frame into the LAN, without first handshaking with adapter B. This layer-2 connectionless service is analogous to IP’s layer-3 datagram service and UDP’s layer-4 connectionless service.
Ethernet technologies provide an unreliable service to the network layer. Specifically, when adapter B receives a frame from adapter A, it runs the frame through a CRC check, but neither sends an acknowledgment when a frame passes the CRC check nor sends a negative acknowledgment when a frame fails the CRC check. When a frame fails the CRC check, adapter B simply discards the frame. Thus, adapter A has no idea whether its transmitted frame reached adapter B and passed the CRC check. This lack of reliable transport (at the link layer) helps to make Ethernet simple and cheap. But it also means that the stream of datagrams passed to the network layer can have gaps.
CASE HISTORY
BOB METCALFE AND ETHERNET
As a PhD student at Harvard University in the early 1970s, Bob Metcalfe worked on the ARPAnet at MIT. During his studies, he also became exposed to Abramson’s work on ALOHA and random access protocols. After completing his PhD and just before beginning a job at Xerox Palo Alto Research Center (Xerox PARC), he visited Abramson and his University of Hawaii colleagues for three months, getting a firsthand look at ALOHAnet. At Xerox PARC, Metcalfe
became exposed to Alto computers, which in many ways were the forerunners of the personal computers of the 1980s. Metcalfe saw the need to network these computers in an inexpensive manner. So armed with his knowledge about ARPAnet, ALOHAnet, and random access protocols, Metcalfe—along with colleague David Boggs—invented Ethernet.
Metcalfe and Boggs’s original Ethernet ran at 2.94 Mbps and linked up to 256 hosts separated by up to one mile. Metcalfe and Boggs succeeded at getting most of the researchers at Xerox PARC to communicate through their Alto computers. Metcalfe then forged an alliance between Xerox, Digital, and Intel to establish Ethernet as a 10 Mbps Ethernet standard, ratified by the IEEE. Xerox did not show much interest in commercializing Ethernet. In 1979, Metcalfe formed his own company, 3Com, which developed and commercialized networking technology, including Ethernet technology. In particular, 3Com developed and marketed Ethernet cards in the early 1980s for the immensely popular IBM PCs.
If there are gaps due to discarded Ethernet frames, does the application at Host B see gaps as well? As
we learned in Chapter 3, this depends on whether the application is using UDP or TCP. If the application is using UDP, then the application in Host B will indeed see gaps in the data. On the other
hand, if the application is using TCP, then TCP in Host B will not acknowledge the data contained in discarded frames, causing TCP in Host A to retransmit. Note that when TCP retransmits data, the data will eventually return to the Ethernet adapter at which it was discarded. Thus, in this sense, Ethernet does retransmit data, although Ethernet is unaware of whether it is transmitting a brand-new datagram with brand-new data, or a datagram that contains data that has already been transmitted at least once.
Ethernet Technologies
In our discussion above, we’ve referred to Ethernet as if it were a single protocol standard. But in fact,
Ethernet comes in many different flavors, with somewhat bewildering acronyms such as 10BASE-T, 10BASE-2, 100BASE-T, 1000BASE-LX, 10GBASE-T and 40GBASE-T. These and many other Ethernet
technologies have been standardized over the years by the IEEE 802.3 CSMA/CD (Ethernet) working
group [IEEE 802.3 2012]. While these acronyms may appear bewildering, there is actually considerable order here. The first part of the acronym refers to the speed of the standard: 10, 100, 1000, or 10G, for
10 Megabit (per second), 100 Megabit, Gigabit, 10 Gigabit and 40 Gigibit Ethernet, respectively. “BASE” refers to baseband Ethernet, meaning that the physical media only carries Ethernet traffic; almost all of the 802.3 standards are for baseband Ethernet. The final part of the acronym refers to the physical
media itself; Ethernet is both a link-layer and a physical-layer specification and is carried over a variety of physical media including coaxial cable, copper wire, and fiber. Generally, a “T” refers to twisted-pair
copper wires.
Historically, an Ethernet was initially conceived of as a segment of coaxial cable. The early 10BASE-2 and 10BASE-5 standards specify 10 Mbps Ethernet over two types of coaxial cable, each limited in
length to 500 meters. Longer runs could be obtained by using a repeater—a physical-layer device that receives a signal on the input side, and regenerates the signal on the output side. A coaxial cable corresponds nicely to our view of Ethernet as a broadcast medium—all frames transmitted by one interface are received at other interfaces, and Ethernet’s CDMA/CD protocol nicely solves the multiple
access problem. Nodes simply attach to the cable, and voila, we have a local area network!
Ethernet has passed through a series of evolutionary steps over the years, and today’s Ethernet is very different from the original bus-topology designs using coaxial cable. In most installations today, nodes are connected to a switch via point-to-point segments made of twisted-pair copper wires or fiber-optic
cables, as shown in Figures 6.15–6.17.
In the mid-1990s, Ethernet was standardized at 100 Mbps, 10 times faster than 10 Mbps Ethernet. The
original Ethernet MAC protocol and frame format were preserved, but higher-speed physical layers were defined for copper wire (100BASE-T) and fiber (100BASE-FX, 100BASE-SX, 100BASE-BX). Figure
6.21 shows these different standards and the common Ethernet MAC protocol and frame format. 100 Mbps Ethernet is limited to a 100-meter distance over twisted pair, and to
Figure 6.21 100 Mbps Ethernet standards: A common link layer, different physical layers
several kilometers over fiber, allowing Ethernet switches in different buildings to be connected.
Gigabit Ethernet is an extension to the highly successful 10 Mbps and 100 Mbps Ethernet standards. Offering a raw data rate of 40,000 Mbps, 40 Gigabit Ethernet maintains full compatibility with the huge installed base of Ethernet equipment. The standard for Gigabit Ethernet, referred to as IEEE 802.3z, does the following:
Uses the standard Ethernet frame format (Figure 6.20) and is backward compatible with 10BASE-T and 100BASE-T technologies. This allows for easy integration of Gigabit Ethernet with the existing
installed base of Ethernet equipment.
Allows for point-to-point links as well as shared broadcast channels. Point-to-point links use switches while broadcast channels use hubs, as described earlier. In Gigabit Ethernet jargon, hubs are called
buffered distributors.
Uses CSMA/CD for shared broadcast channels. In order to have acceptable efficiency, the
maximum distance between nodes must be severely restricted.
Allows for full-duplex operation at 40 Gbps in both directions for point-to-point channels.
Initially operating over optical fiber, Gigabit Ethernet is now able to run over category 5 UTP cabling.
Let’s conclude our discussion of Ethernet technology by posing a question that may have begun troubling you. In the days of bus topologies and hub-based star topologies, Ethernet was clearly a
broadcast link (as defined in Section 6.3) in which frame collisions occurred when nodes transmitted at the same time. To deal with these collisions, the Ethernet standard included the CSMA/CD protocol,
which is particularly effective for a wired broadcast LAN spanning a small geographical region. But if the prevalent use of Ethernet today is a switch-based star topology, using store-and-forward packet switching, is there really a need anymore for an Ethernet MAC protocol? As we’ll see shortly, a switch coordinates its transmissions and never forwards more than one frame onto the same interface at any time. Furthermore, modern switches are full-duplex, so that a switch and a node can each send frames to each other at the same time without interference. In other words, in a switch-based Ethernet LAN there are no collisions and, therefore, there is no need for a MAC protocol!
As we’ve seen, today’s Ethernets are very different from the original Ethernet conceived by Metcalfe and Boggs more than 30 years ago—speeds have increased by three orders of magnitude, Ethernet frames
are carried over a variety of media, switched-Ethernets have become dominant, and now even the MAC
protocol is often unnecessary! Is all of this really still Ethernet? The answer, of course, is “yes, by definition.” It is interesting to note, however, that through all of these changes, there has indeed been
one enduring constant that has remained unchanged over 30 years—Ethernet’s frame format. Perhaps this then is the one true and timeless centerpiece of the Ethernet standard.
6.4.3 Link-Layer Switches
Up until this point, we have been purposefully vague about what a switch actually does and how it works. The role of the switch is to receive incoming link-layer frames and forward them onto outgoing links; we’ll study this forwarding function in detail in this subsection. We’ll see that the switch itself is transparent to the hosts and routers in the subnet; that is, a host/router addresses a frame to another host/router (rather than addressing the frame to the switch) and happily sends the frame into the LAN, unaware that a switch will be receiving the frame and forwarding it. The rate at which frames arrive to any one of the switch’s output interfaces may temporarily exceed the link capacity of that interface. To accommodate this problem, switch output interfaces have buffers, in much the same way that router output interfaces have buffers for datagrams. Let’s now take a closer look at how switches operate.
Forwarding and Filtering
Filtering is the switch function that determines whether a frame should be forwarded to some interface or should just be dropped. Forwarding is the switch function that determines the interfaces to which a frame should be directed, and then moves the frame to those interfaces. Switch filtering and forwarding are done with a switch table. The switch table contains entries for some, but not necessarily all, of the hosts and routers on a LAN. An entry in the switch table contains (1) a MAC address, (2) the switch interface that leads toward that MAC address, and (3) the time at which the entry was placed in the
table. An example switch table for the uppermost switch in Figure 6.15 is shown in Figure 6.22. This description of frame forwarding may sound similar to our discussion of datagram forwarding
Figure 6.22 Portion of a switch table for the uppermost switch in Figure 6.15
in Chapter 4. Indeed, in our discussion of generalized forwarding in Section 4.4, we learned that many
modern packet switches can be configured to forward on the basis of layer-2 destination MAC addresses (i.e., function as a layer-2 switch) or layer-3 IP destination addresses (i.e., function as a layer-3 router). Nonetheless, we’ll make the important distinction that switches forward packets based on MAC addresses rather than on IP addresses. We will also see that a traditional (i.e., in a non-SDN context) switch table is constructed in a very different manner from a router’s forwarding table.
To understand how switch filtering and forwarding work, suppose a frame with destination address DD-
DD-DD-DD-DD-DD arrives at the switch on interface x. The switch indexes its table with the MAC address DD-DD-DD-DD-DD-DD. There are three possible cases:
There is no entry in the table for DD-DD-DD-DD-DD-DD. In this case, the switch forwards copies of
the frame to the output buffers preceding all interfaces except for interface x. In other words, if there is no entry for the destination address, the switch broadcasts the frame.
There is an entry in the table, associating DD-DD-DD-DD-DD-DD with interface x. In this case, the frame is coming from a LAN segment that contains adapter DD-DD-DD-DD-DD-DD. There being no
need to forward the frame to any of the other interfaces, the switch performs the filtering function by discarding the frame.
There is an entry in the table, associating DD-DD-DD-DD-DD-DD with interface y≠x. In this case, the frame needs to be forwarded to the LAN segment attached to interface y. The switch performs its forwarding function by putting the frame in an output buffer that precedes interface y.
Let’s walk through these rules for the uppermost switch in Figure 6.15 and its switch table in Figure 6.22. Suppose that a frame with destination address 62-FE-F7-11-89-A3 arrives at the switch from
interface 1. The switch examines its table and sees that the destination is on the LAN segment connected to interface 1 (that is, Electrical Engineering). This means that the frame has already been broadcast on the LAN segment that contains the destination. The switch therefore filters (that is, discards) the frame. Now suppose a frame with the same destination address arrives from interface 2. The switch again examines its table and sees that the destination is in the direction of interface 1; it therefore forwards the frame to the output buffer preceding interface 1. It should be clear from this example that as long as the switch table is complete and accurate, the switch forwards frames toward destinations without any broadcasting.
In this sense, a switch is “smarter” than a hub. But how does this switch table get configured in the first place? Are there link-layer equivalents to network-layer routing protocols? Or must an overworked manager manually configure the switch table?
Self-Learning
A switch has the wonderful property (particularly for the already-overworked network administrator) that its table is built automatically, dynamically, and autonomously—without any intervention from a network administrator or from a configuration protocol. In other words, switches are self-learning. This capability is accomplished as follows:
1. The switch table is initially empty.
2. For each incoming frame received on an interface, the switch stores in its table (1) the MAC
address in the frame’s source address field, (2) the interface from which the frame arrived, and (3) the current time. In this manner the switch records in its table the LAN segment on which the
sender resides. If every host in the LAN eventually sends a frame, then every host will eventually get recorded in the table.
3. The switch deletes an address in the table if no frames are received with that address as the source address after some period of time (the aging time). In this manner, if a PC is replaced by
another PC (with a different adapter), the MAC address of the original PC will eventually be purged from the switch table.
Let’s walk through the self-learning property for the uppermost switch in Figure 6.15 and its corresponding switch table in Figure 6.22. Suppose at time 9:39 a frame with source address 01-12-23-
34-45-56 arrives from interface 2. Suppose that this address is not in the switch table. Then the switch adds a new entry to the table, as shown in Figure 6.23.
Continuing with this same example, suppose that the aging time for this switch is 60 minutes, and no frames with source address 62-FE-F7-11-89-A3 arrive to the switch between 9:32 and 10:32. Then at
time 10:32, the switch removes this address from its table.
Figure 6.23 Switch learns about the location of an adapter with address 01-12-23-34-45-56
Switches are plug-and-play devices because they require no intervention from a network administrator or user. A network administrator wanting to install a switch need do nothing more than connect the LAN segments to the switch interfaces. The administrator need not configure the switch tables at the time of installation or when a host is removed from one of the LAN segments. Switches are also full-duplex, meaning any switch interface can send and receive at the same time.
Properties of Link-Layer Switching
Having described the basic operation of a link-layer switch, let’s now consider their features and properties. We can identify several advantages of using switches, rather than broadcast links such as buses or hub-based star topologies:
Elimination of collisions. In a LAN built from switches (and without hubs), there is no wasted bandwidth due to collisions! The switches buffer frames and never transmit more than one frame on
a segment at any one time. As with a router, the maximum aggregate throughput of a switch is the sum of all the switch interface rates. Thus, switches provide a significant performance improvement over LANs with broadcast links.
Heterogeneous links. Because a switch isolates one link from another, the different links in the LAN can operate at different speeds and can run over different media. For example, the uppermost
switch in Figure 6.15 might have three1 Gbps 1000BASE-T copper links, two 100 Mbps 100BASE- FX fiber links, and one 100BASE-T copper link. Thus, a switch is ideal for mixing legacy equipment
with new equipment.
Management. In addition to providing enhanced security (see sidebar on Focus on Security), a switch also eases network management. For example, if an adapter malfunctions and continually
sends Ethernet frames (called a jabbering adapter), a switch can detect the problem and internally disconnect the malfunctioning adapter. With this feature, the network administrator need not get out of bed and drive back to work in order to correct the problem. Similarly, a cable cut disconnects only that host that was using the cut cable to connect to the switch. In the days of coaxial cable, many a
network manager spent hours “walking the line” (or more accurately, “crawling the floor”) to find the cable break that brought down the entire network. Switches also gather statistics on bandwidth usage, collision rates, and traffic types, and make this information available to the network manager. This information can be used to debug and correct problems, and to plan how the LAN should evolve in the future. Researchers are exploring adding yet more management functionality into
Ethernet LANs in prototype deployments [Casado 2007; Koponen 2011]. FOCUS ON SECURITY
SNIFFING A SWITCHED LAN: SWITCH POISONING
When a host is connected to a switch, it typically only receives frames that are intended for it. For example, consider a switched LAN in Figure 6.17. When host A sends a frame to host B,
and there is an entry for host B in the switch table, then the switch will forward the frame only to host B. If host C happens to be running a sniffer, host C will not be able to sniff this A-to-B
frame. Thus, in a switched-LAN environment (in contrast to a broadcast link environment such as 802.11 LANs or hub–based Ethernet LANs), it is more difficult for an attacker to sniff frames.
However, because the switch broadcasts frames that have destination addresses that are not in the switch table, the sniffer at C can still sniff some frames that are not intended for C.
Furthermore, a sniffer will be able sniff all Ethernet broadcast frames with broadcast destination address FF–FF–FF–FF–FF–FF. A well-known attack against a switch, called switch poisoning, is to send tons of packets to the switch with many different bogus source MAC addresses, thereby filling the switch table with bogus entries and leaving no room for the MAC addresses of the legitimate hosts. This causes the switch to broadcast most frames, which can then be picked
up by the sniffer [Skoudis 2006]. As this attack is rather involved even for a sophisticated attacker, switches are significantly less vulnerable to sniffing than are hubs and wireless LANs.
Switches Versus Routers
As we learned in Chapter 4, routers are store-and-forward packet switches that forward packets using network-layer addresses. Although a switch is also a store-and-forward packet switch, it is
fundamentally different from a router in that it forwards packets using MAC addresses. Whereas a router is a layer-3 packet switch, a switch is a layer-2 packet switch. Recall, however, that we learned in
Section 4.4 that modern switches using the “match plus action” operation can be used to forward a layer-2 frame based on the frame’s destination MAC address, as well as a layer-3 datagram using the
datagram’s destination IP address. Indeed, we saw that switches using the OpenFlow standard can perform generalized packet forwarding based on any of eleven different frame, datagram, and transport- layer header fields.
Even though switches and routers are fundamentally different, network administrators must often choose between them when installing an interconnection device. For example, for the network in Figure
6.15, the network administrator could just as easily have used a router instead of a switch to connect the department LANs, servers, and internet gateway router. Indeed, a router would permit interdepartmental
communication without creating collisions. Given that both switches and routers are candidates for interconnection devices, what are the pros and cons of the two approaches?
Figure 6.24 Packet processing in switches, routers, and hosts
First consider the pros and cons of switches. As mentioned above, switches are plug-and-play, a property that is cherished by all the overworked network administrators of the world. Switches can also
have relatively high filtering and forwarding rates—as shown in Figure 6.24, switches have to process frames only up through layer 2, whereas routers have to process datagrams up through layer 3. On the
other hand, to prevent the cycling of broadcast frames, the active topology of a switched network is restricted to a spanning tree. Also, a large switched network would require large ARP tables in the hosts and routers and would generate substantial ARP traffic and processing. Furthermore, switches are susceptible to broadcast storms—if one host goes haywire and transmits an endless stream of Ethernet broadcast frames, the switches will forward all of these frames, causing the entire network to collapse.
Now consider the pros and cons of routers. Because network addressing is often hierarchical (and not flat, as is MAC addressing), packets do not normally cycle through routers even when the network has redundant paths. (However, packets can cycle when router tables are misconfigured; but as we learned
in Chapter 4, IP uses a special datagram header field to limit the cycling.) Thus, packets are not restricted to a spanning tree and can use the best path between source and destination. Because
routers do not have the spanning tree restriction, they have allowed the Internet to be built with a rich topology that includes, for example, multiple active links between Europe and North America. Another feature of routers is that they provide firewall protection against layer-2 broadcast storms. Perhaps the most significant drawback of routers, though, is that they are not plug-and-play—they and the hosts that connect to them need their IP addresses to be configured. Also, routers often have a larger per-packet processing time than switches, because they have to process up through the layer-3 fields. Finally, there
are two different ways to pronounce the word router, either as “rootor” or as “rowter,” and people waste a lot of time arguing over the proper pronunciation [Perlman 1999].
Given that both switches and routers have their pros and cons (as summarized in Table 6.1), when should an institutional network (for example, a university campus
Table 6.1 Comparison of the typical features of popular interconnection devices
Hubs
Routers
Switches
Traffic isolation
No
Yes
Yes
Plug and play
Yes
No
Yes
Optimal routing
No
Yes
No
network or a corporate campus network) use switches, and when should it use routers? Typically, small networks consisting of a few hundred hosts have a few LAN segments. Switches suffice for these small networks, as they localize traffic and increase aggregate throughput without requiring any configuration of IP addresses. But larger networks consisting of thousands of hosts typically include routers within the network (in addition to switches). The routers provide a more robust isolation of traffic, control broadcast storms, and use more “intelligent” routes among the hosts in the network.
For more discussion of the pros and cons of switched versus routed networks, as well as a discussion of how switched LAN technology can be extended to accommodate two orders of magnitude more hosts
than today’s Ethernets, see [Meyers 2004; Kim 2008]. 6.4.4 Virtual Local Area Networks (VLANs)
In our earlier discussion of Figure 6.15, we noted that modern institutional LANs are often configured hierarchically, with each workgroup (department) having its own switched LAN connected to the
switched LANs of other groups via a switch hierarchy. While such a configuration works well in an ideal world, the real world is often far from ideal. Three drawbacks can be identified in the configuration in
Figure 6.15:
Lack of traffic isolation. Although the hierarchy localizes group traffic to within a single switch,
broadcast traffic (e.g., frames carrying ARP and DHCP messages or frames whose destination has not yet been learned by a self-learning switch) must still traverse the entire institutional network.
Limiting the scope of such broadcast traffic would improve LAN performance. Perhaps more importantly, it also may be desirable to limit LAN broadcast traffic for security/privacy reasons. For example, if one group contains the company’s executive management team and another group contains disgruntled employees running Wireshark packet sniffers, the network manager may well prefer that the executives’ traffic never even reaches employee hosts. This type of isolation could be
provided by replacing the center switch in Figure 6.15 with a router. We’ll see shortly that this isolation also can be achieved via a switched (layer 2) solution.
Inefficient use of switches. If instead of three groups, the institution had 10 groups, then 10 first- level switches would be required. If each group were small, say less than 10 people, then a single
96-port switch would likely be large enough to accommodate everyone, but this single switch would not provide traffic isolation.
Managing users. If an employee moves between groups, the physical cabling must be changed to connect the employee to a different switch in Figure 6.15. Employees belonging to two groups make
the problem even harder.
Fortunately, each of these difficulties can be handled by a switch that supports virtual local area
networks (VLANs). As the name suggests, a switch that supports VLANs allows multiple virtual local area networks to be defined over a single physical local area network infrastructure. Hosts within a
VLAN communicate with each other as if they (and no other hosts) were connected to the switch. In a port-based VLAN, the switch’s ports (interfaces) are divided into groups by the network manager. Each group constitutes a VLAN, with the ports in each VLAN forming a broadcast domain (i.e., broadcast
traffic from one port can only reach other ports in the group). Figure 6.25 shows a single switch with 16 ports. Ports 2 to 8 belong to the EE VLAN, while ports 9 to 15 belong to the CS VLAN (ports 1 and 16
are unassigned). This VLAN solves all of the difficulties noted above—EE and CS VLAN frames are
isolated from each other, the two switches in Figure 6.15 have been replaced by a single switch, and if the user at switch port 8 joins the CS Department, the network operator simply reconfigures the VLAN
software so that port 8 is now associated with the CS VLAN. One can easily imagine how the VLAN switch is configured and operates—the network manager declares a port to belong
Figure 6.25 A single switch with two configured VLANs
to a given VLAN (with undeclared ports belonging to a default VLAN) using switch management software, a table of port-to-VLAN mappings is maintained within the switch; and switch hardware only delivers frames between ports belonging to the same VLAN.
But by completely isolating the two VLANs, we have introduced a new difficulty! How can traffic from the EE Department be sent to the CS Department? One way to handle this would be to connect a VLAN
switch port (e.g., port 1 in Figure 6.25) to an external router and configure that port to belong both the EE and CS VLANs. In this case, even though the EE and CS departments share the same physical
switch, the logical configuration would look as if the EE and CS departments had separate switches connected via a router. An IP datagram going from the EE to the CS department would first cross the EE VLAN to reach the router and then be forwarded by the router back over the CS VLAN to the CS host. Fortunately, switch vendors make such configurations easy for the network manager by building a
single device that contains both a VLAN switch and a router, so a separate external router is not needed. A homework problem at the end of the chapter explores this scenario in more detail.
Returning again to Figure 6.15, let’s now suppose that rather than having a separate Computer Engineering department, some EE and CS faculty are housed in a separate building, where (of course!)
they need network access, and (of course!) they’d like to be part of their department’s VLAN. Figure 6.26 shows a second 8-port switch, where the switch ports have been defined as belonging to the EE or
the CS VLAN, as needed. But how should these two switches be interconnected? One easy solution would be to define a port belonging to the CS VLAN on each switch (similarly for the EE VLAN) and to
connect these ports to each other, as shown in Figure 6.26(a). This solution doesn’t scale, however, since N VLANS would require N ports on each switch simply to interconnect the two switches.
A more scalable approach to interconnecting VLAN switches is known as VLAN trunking. In the VLAN trunking approach shown in Figure 6.26(b), a special port on each switch (port 16 on the left switch and
port 1 on the right switch) is configured as a trunk port to interconnect the two VLAN switches. The trunk port belongs to all VLANs, and frames sent to any VLAN are forwarded over the trunk link to the other switch. But this raises yet another question: How does a switch know that a frame arriving on a trunk port belongs to a particular VLAN? The IEEE has defined an extended Ethernet frame format, 802.1Q,
for frames crossing a VLAN trunk. As shown in Figure 6.27, the 802.1Q frame consists of the standard Ethernet frame with a four-byte VLAN tag added into the header that carries the identity of the VLAN to
which the frame belongs. The VLAN tag is added into a frame by the switch at the sending side of a VLAN trunk, parsed, and removed by the switch at the receiving side of the trunk. The VLAN tag itself consists of a 2-byte Tag Protocol Identifier (TPID) field (with a fixed hexadecimal value of 81-00), a 2- byte Tag Control Information field that contains a 12-bit VLAN identifier field, and a 3-bit priority field that is similar in intent to the IP datagram TOS field.
Figure 6.26 Connecting two VLAN switches with two VLANs: (a) two cables (b) trunked
Figure 6.27 Original Ethernet frame (top), 802.1Q-tagged Ethernet VLAN frame (below)
In this discussion, we’ve only briefly touched on VLANs and have focused on port-based VLANs. We should also mention that VLANs can be defined in several other ways. In MAC-based VLANs, the network manager specifies the set of MAC addresses that belong to each VLAN; whenever a device attaches to a port, the port is connected into the appropriate VLAN based on the MAC address of the device. VLANs can also be defined based on network-layer protocols (e.g., IPv4, IPv6, or Appletalk) and other criteria. It is also possible for VLANs to be extended across IP routers, allowing islands of LANs to
be connected together to form a single VLAN that could span the globe [Yu 2011]. See the 802.1Q standard [IEEE 802.1q 2005] for more details.
6.5 Link Virtualization: A Network as a Link Layer
Because this chapter concerns link-layer protocols, and given that we’re now nearing the chapter’s end,
let’s reflect on how our understanding of the term link has evolved. We began this chapter by viewing the link as a physical wire connecting two communicating hosts. In studying multiple access protocols,
we saw that multiple hosts could be connected by a shared wire and that the “wire” connecting the hosts could be radio spectra or other media. This led us to consider the link a bit more abstractly as a channel,
rather than as a wire. In our study of Ethernet LANs (Figure 6.15) we saw that the interconnecting media could actually be a rather complex switched infrastructure. Throughout this evolution, however,
the hosts themselves maintained the view that the interconnecting medium was simply a link-layer channel connecting two or more hosts. We saw, for example, that an Ethernet host can be blissfully
unaware of whether it is connected to other LAN hosts by a single short LAN segment (Figure 6.17) or by a geographically dispersed switched LAN (Figure 6.15) or by a VLAN (Figure 6.26).
In the case of a dialup modem connection between two hosts, the link connecting the two hosts is actually the telephone network—a logically separate, global telecommunications network with its own switches, links, and protocol stacks for data transfer and signaling. From the Internet link-layer point of view, however, the dial-up connection through the telephone network is viewed as a simple “wire.” In this sense, the Internet virtualizes the telephone network, viewing the telephone network as a link-layer technology providing link-layer connectivity between two Internet hosts. You may recall from our
discussion of overlay networks in Chapter 2 that an overlay network similarly views the Internet as a means for providing connectivity between overlay nodes, seeking to overlay the Internet in the same
way that the Internet overlays the telephone network.
In this section, we’ll consider Multiprotocol Label Switching (MPLS) networks. Unlike the circuit-switched telephone network, MPLS is a packet-switched, virtual-circuit network in its own right. It has its own packet formats and forwarding behaviors. Thus, from a pedagogical viewpoint, a discussion of MPLS fits well into a study of either the network layer or the link layer. From an Internet viewpoint, however, we can consider MPLS, like the telephone network and switched-Ethernets, as a link-layer technology that serves to interconnect IP devices. Thus, we’ll consider MPLS in our discussion of the link layer. Frame- relay and ATM networks can also be used to interconnect IP devices, though they represent a slightly
older (but still deployed) technology and will not be covered here; see the very readable book [Goralski
1999] for details. Our treatment of MPLS will be necessarily brief, as entire books could be (and have
been) written on these networks. We recommend [Davie 2000] for details on MPLS. We’ll focus here primarily on how MPLS servers interconnect to IP devices, although we’ll dive a bit deeper into the
underlying technologies as well.
6.5.1 Multiprotocol Label Switching (MPLS)
Multiprotocol Label Switching (MPLS) evolved from a number of industry efforts in the mid-to-late 1990s to improve the forwarding speed of IP routers by adopting a key concept from the world of virtual-circuit networks: a fixed-length label. The goal was not to abandon the destination-based IP datagram- forwarding infrastructure for one based on fixed-length labels and virtual circuits, but to augment it by selectively labeling datagrams and allowing routers to forward datagrams based on fixed-length labels (rather than destination IP addresses) when possible. Importantly, these techniques work hand-in-hand
with IP, using IP addressing and routing. The IETF unified these efforts in the MPLS protocol [RFC 3031, RFC 3032], effectively blending VC techniques into a routed datagram network.
Let’s begin our study of MPLS by considering the format of a link-layer frame that is handled by an
MPLS-capable router. Figure 6.28 shows that a link-layer frame transmitted between MPLS-capable devices has a small MPLS header added between the layer-2 (e.g., Ethernet) header and layer-3 (i.e.,
IP) header. RFC 3032 defines the format of the MPLS header for such links; headers are defined for ATM and frame-relayed networks as well in other RFCs. Among the fields in the MPLS
Figure 6.28 MPLS header: Located between link- and network-layer headers
header are the label, 3 bits reserved for experimental use, a single S bit, which is used to indicate the end of a series of “stacked” MPLS headers (an advanced topic that we’ll not cover here), and a time-to- live field.
It’s immediately evident from Figure 6.28 that an MPLS-enhanced frame can only be sent between routers that are both MPLS capable (since a non-MPLS-capable router would be quite confused when it
found an MPLS header where it had expected to find the IP header!). An MPLS-capable router is often
referred to as a label-switched router, since it forwards an MPLS frame by looking up the MPLS label in its forwarding table and then immediately passing the datagram to the appropriate output interface.
Thus, the MPLS-capable router need not extract the destination IP address and perform a lookup of the longest prefix match in the forwarding table. But how does a router know if its neighbor is indeed MPLS
capable, and how does a router know what label to associate with the given IP destination? To answer these questions, we’ll need to take a look at the interaction among a group of MPLS-capable routers.
In the example in Figure 6.29, routers R1 through R4 are MPLS capable. R5 and R6 are standard IP routers. R1 has advertised to R2 and R3 that it (R1) can route to destination A, and that a received
frame with MPLS label 6 will be forwarded to destination A. Router R3 has advertised to router R4 that it can route to destinations A and D, and that incoming frames with MPLS labels 10 and 12, respectively, will be switched toward those destinations. Router R2 has also advertised to router R4 that it (R2) can reach destination A, and that a received frame with MPLS label 8 will be switched toward A. Note that router R4 is now in the interesting position of having
Figure 6.29 MPLS-enhanced forwarding
two MPLS paths to reach A: via interface 0 with outbound MPLS label 10, and via interface 1 with an
MPLS label of 8. The broad picture painted in Figure 6.29 is that IP devices R5, R6, A, and D are connected together via an MPLS infrastructure (MPLS-capable routers R1, R2, R3, and R4) in much the
same way that a switched LAN or an ATM network can connect together IP devices. And like a switched LAN or ATM network, the MPLS-capable routers R1 through R4 do so without ever touching the IP
header of a packet.
In our discussion above, we’ve not specified the specific protocol used to distribute labels among the
MPLS-capable routers, as the details of this signaling are well beyond the scope of this book. We note, however, that the IETF working group on MPLS has specified in [RFC 3468] that an extension of the
RSVP protocol, known as RSVP-TE [RFC 3209], will be the focus of its efforts for MPLS signaling. We’ve also not discussed how MPLS actually computes the paths for packets among MPLS capable
routers, nor how it gathers link-state information (e.g., amount of link bandwidth unreserved by MPLS) to
use in these path computations. Existing link-state routing algorithms (e.g., OSPF) have been extended to flood this information to MPLS-capable routers. Interestingly, the actual path computation algorithms are not standardized, and are currently vendor-specific.
Thus far, the emphasis of our discussion of MPLS has been on the fact that MPLS performs switching based on labels, without needing to consider the IP address of a packet. The true advantages of MPLS and the reason for current interest in MPLS, however, lie not in the potential increases in switching speeds, but rather in the new traffic management capabilities that MPLS enables. As noted above, R4
has two MPLS paths to A. If forwarding were performed up at the IP layer on the basis of IP address, the IP routing protocols we studied in Chapter 5 would specify only a single, least-cost path to A. Thus,
MPLS provides the ability to forward packets along routes that would not be possible using standard IP routing protocols. This is one simple form of traffic engineering using MPLS [RFC 3346; RFC 3272;
RFC 2702; Xiao 2000], in which a network operator can override normal IP routing and force some of the traffic headed toward a given destination along one path, and other traffic destined toward the same
destination along another path (whether for policy, performance, or some other reason).
It is also possible to use MPLS for many other purposes as well. It can be used to perform fast restoration of MPLS forwarding paths, e.g., to reroute traffic over a precomputed failover path in
response to link failure [Kar 2000; Huang 2002; RFC 3469]. Finally, we note that MPLS can, and has, been used to implement so-called virtual private networks (VPNs). In implementing a VPN for a
customer, an ISP uses its MPLS-enabled network to connect together the customer’s various networks. MPLS can be used to isolate both the resources and addressing used by the customer’s VPN from that
of other users crossing the ISP’s network; see [DeClercq 2002] for details.
Our discussion of MPLS has been brief, and we encourage you to consult the references we’ve mentioned. We note that with so many possible uses for MPLS, it appears that it is rapidly becoming the Swiss Army knife of Internet traffic engineering!
6.6 Data Center Networking
In recent years, Internet companies such as Google, Microsoft, Facebook, and Amazon (as well as
their counterparts in Asia and Europe) have built massive data centers, each housing tens to hundreds of thousands of hosts, and concurrently supporting many distinct cloud applications (e.g., search, e-mail, social networking, and e-commerce). Each data center has its own data center network that interconnects its hosts with each other and interconnects the data center with the Internet. In this section, we provide a brief introduction to data center networking for cloud applications.
The cost of a large data center is huge, exceeding $12 million per month for a 100,000 host data center
[Greenberg 2009a]. Of these costs, about 45 percent can be attributed to the hosts themselves (which need to be replaced every 3–4 years); 25 percent to infrastructure, including transformers,
uninterruptable power supplies (UPS) systems, generators for long-term outages, and cooling systems; 15 percent for electric utility costs for the power draw; and 15 percent for networking, including network gear (switches, routers and load balancers), external links, and transit traffic costs. (In these percentages, costs for equipment are amortized so that a common cost metric is applied for one-time purchases and ongoing expenses such as power.) While networking is not the largest cost, networking
innovation is the key to reducing overall cost and maximizing performance [Greenberg 2009a].
The worker bees in a data center are the hosts: They serve content (e.g., Web pages and videos), store e-mails and documents, and collectively perform massively distributed computations (e.g., distributed index computations for search engines). The hosts in data centers, called blades and resembling pizza boxes, are generally commodity hosts that include CPU, memory, and disk storage. The hosts are stacked in racks, with each rack typically having 20 to 40 blades. At the top of each rack there is a switch, aptly named the Top of Rack (TOR) switch, that interconnects the hosts in the rack with each other and with other switches in the data center. Specifically, each host in the rack has a network interface card that connects to its TOR switch, and each TOR switch has additional ports that can be connected to other switches. Today hosts typically have 40 Gbps Ethernet connections to their TOR
switches [Greenberg 2015]. Each host is also assigned its own data-center-internal IP address.
The data center network supports two types of traffic: traffic flowing between external clients and internal hosts and traffic flowing between internal hosts. To handle flows between external clients and internal hosts, the data center network includes one or more border routers, connecting the data center network to the public Internet. The data center network therefore interconnects the racks with each other
and connects the racks to the border routers. Figure 6.30 shows an example of a data center network. Data center network design, the art of designing the interconnection network and protocols that
connect the racks with each other and with the border routers, has become an important branch of
computer networking research in recent years [Al-Fares 2008; Greenberg 2009a; Greenberg 2009b; Mysore 2009; Guo 2009; Wang 2010].
Figure 6.30 A data center network with a hierarchical topology
Load Balancing
A cloud data center, such as a Google or Microsoft data center, provides many applications concurrently, such as search, e-mail, and video applications. To support requests from external clients, each application is associated with a publicly visible IP address to which clients send their requests and from which they receive responses. Inside the data center, the external requests are first directed to a load balancer whose job it is to distribute requests to the hosts, balancing the load across the hosts as a function of their current load. A large data center will often have several load balancers, each one devoted to a set of specific cloud applications. Such a load balancer is sometimes referred to as a “layer-4 switch” since it makes decisions based on the destination port number (layer 4) as well as destination IP address in the packet. Upon receiving a request for a particular application, the load balancer forwards it to one of the hosts that handles the application. (A host may then invoke the services of other hosts to help process the request.) When the host finishes processing the request, it sends its response back to the load balancer, which in turn relays the response back to the external client. The load balancer not only balances the work load across hosts, but also provides a NAT-like function, translating the public external IP address to the internal IP address of the appropriate host, and
then translating back for packets traveling in the reverse direction back to the clients. This prevents clients from contacting hosts directly, which has the security benefit of hiding the internal network structure and preventing clients from directly interacting with the hosts.
Hierarchical Architecture
For a small data center housing only a few thousand hosts, a simple network consisting of a border router, a load balancer, and a few tens of racks all interconnected by a single Ethernet switch could possibly suffice. But to scale to tens to hundreds of thousands of hosts, a data center often employs a
hierarchy of routers and switches, such as the topology shown in Figure 6.30. At the top of the hierarchy, the border router connects to access routers (only two are shown in Figure 6.30, but there
can be many more). Below each access router there are three tiers of switches. Each access router connects to a top-tier switch, and each top-tier switch connects to multiple second-tier switches and a load balancer. Each second-tier switch in turn connects to multiple racks via the racks’ TOR switches (third-tier switches). All links typically use Ethernet for their link-layer and physical-layer protocols, with a mix of copper and fiber cabling. With such a hierarchical design, it is possible to scale a data center to hundreds of thousands of hosts.
Because it is critical for a cloud application provider to continually provide applications with high availability, data centers also include redundant network equipment and redundant links in their designs
(not shown in Figure 6.30). For example, each TOR switch can connect to two tier-2 switches, and each
access router, tier-1 switch, and tier-2 switch can be duplicated and integrated into the design [Cisco
2012; Greenberg 2009b]. In the hierarchical design in Figure 6.30, observe that the hosts below each access router form a single subnet. In order to localize ARP broadcast traffic, each of these subnets is
further partitioned into smaller VLAN subnets, each comprising a few hundred hosts [Greenberg 2009a].
Although the conventional hierarchical architecture just described solves the problem of scale, it suffers from limited host-to-host capacity [Greenberg 2009b]. To understand this limitation, consider again
Figure 6.30, and suppose each host connects to its TOR switch with a 1 Gbps link, whereas the links between switches are 10 Gbps Ethernet links. Two hosts in the same rack can always communicate at a
full 1 Gbps, limited only by the rate of the hosts’ network interface cards. However, if there are many
simultaneous flows in the data center network, the maximum rate between two hosts in different racks can be much less. To gain insight into this issue, consider a traffic pattern consisting of 40 simultaneous
flows between 40 pairs of hosts in different racks. Specifically, suppose each of 10 hosts in rack 1 in
Figure 6.30 sends a flow to a corresponding host in rack 5. Similarly, there are ten simultaneous flows between pairs of hosts in racks 2 and 6, ten simultaneous flows between racks 3 and 7, and ten
simultaneous flows between racks 4 and 8. If each flow evenly shares a link’s capacity with other flows traversing that link, then the 40 flows crossing the 10 Gbps A-to-B link (as well as the 10 Gbps B-to-C link) will each only receive 10 Gbps/40=250 Mbps, which is significantly less than the 1 Gbps network
interface card rate. The problem becomes even more acute for flows between hosts that need to travel higher up the hierarchy. One possible solution to this limitation is to deploy higher-rate switches and routers. But this would significantly increase the cost of the data center, because switches and routers with high port speeds are very expensive.
Supporting high-bandwidth host-to-host communication is important because a key requirement in data
centers is flexibility in placement of computation and services [Greenberg 2009b; Farrington 2010]. For example, a large-scale Internet search engine may run on thousands of hosts spread across
multiple racks with significant bandwidth requirements between all pairs of hosts. Similarly, a cloud computing service such as EC2 may wish to place the multiple virtual machines comprising a customer’s service on the physical hosts with the most capacity irrespective of their location in the data center. If these physical hosts are spread across multiple racks, network bottlenecks as described above may result in poor performance.
Trends in Data Center Networking
In order to reduce the cost of data centers, and at the same time improve their delay and throughput performance, Internet cloud giants such as Google, Facebook, Amazon, and Microsoft are continually deploying new data center network designs. Although these designs are proprietary, many important trends can nevertheless be identified.
One such trend is to deploy new interconnection architectures and network protocols that overcome the drawbacks of the traditional hierarchical designs. One such approach is to replace the hierarchy of
switches and routers with a fully connected topology [Facebook 2014; Al-Fares 2008; Greenberg 2009b; Guo 2009], such as the topology shown in Figure 6.31. In this design, each tier-1 switch
connects to all of the tier-2 switches so that (1) host-to-host traffic never has to rise above the switch
tiers, and (2) with n tier-1 switches, between any two tier-2 switches there are n disjoint paths. Such a design can significantly improve the host-to-host capacity. To see this, consider again our example of 40
flows. The topology in Figure 6.31 can handle such a flow pattern since there are four distinct paths between the first tier-2 switch and the second tier-2 switch, together providing an aggregate capacity of
40 Gbps between the first two tier-2 switches. Such a design not only alleviates the host-to-host capacity limitation, but also creates a more flexible computation and service environment in which communication between any two racks not connected to the same switch is logically equivalent, irrespective of their locations in the data center.
Another major trend is to employ shipping container–based modular data centers (MDCs) [YouTube 2009; Waldrop 2007]. In an MDC, a factory builds, within a
Figure 6.31 Highly interconnected data network topology
standard 12-meter shipping container, a “mini data center” and ships the container to the data center location. Each container has up to a few thousand hosts, stacked in tens of racks, which are packed closely together. At the data center location, multiple containers are interconnected with each other and also with the Internet. Once a prefabricated container is deployed at a data center, it is often difficult to service. Thus, each container is designed for graceful performance degradation: as components (servers and switches) fail over time, the container continues to operate but with degraded performance. When many components have failed and performance has dropped below a threshold, the entire container is removed and replaced with a fresh one.
Building a data center out of containers creates new networking challenges. With an MDC, there are two types of networks: the container-internal networks within each of the containers and the core network
connecting each container [Guo 2009; Farrington 2010]. Within each container, at the scale of up to a few thousand hosts, it is possible to build a fully connected network (as described above) using
inexpensive commodity Gigabit Ethernet switches. However, the design of the core network, interconnecting hundreds to thousands of containers while providing high host-to-host bandwidth across containers for typical workloads, remains a challenging problem. A hybrid electrical/optical switch
architecture for interconnecting the containers is proposed in [Farrington 2010].
When using highly interconnected topologies, one of the major issues is designing routing algorithms
among the switches. One possibility [Greenberg 2009b] is to use a form of random routing. Another possibility [Guo 2009] is to deploy multiple network interface cards in each host, connect each host to
multiple low-cost commodity switches, and allow the hosts themselves to intelligently route traffic among the switches. Variations and extensions of these approaches are currently being deployed in contemporary data centers.
Another important trend is that large cloud providers are increasingly building or customizing just about everything that is in their data centers, including network adapters, switches routers, TORs, software,
and networking protocols [Greenberg 2015, Singh 2015]. Another trend, pioneered by Amazon, is to improve reliability with “availability zones,” which essentially replicate distinct data centers in different
nearby buildings. By having the buildings nearby (a few kilometers apart), transactional data can be synchronized across the data centers in the same availability zone while providing fault tolerance
[Amazon 2014]. Many more innovations in data center design are likely to continue to come; interested readers are encouraged to see the recent papers and videos on data center network design.
6.7 Retrospective: A Day in the Life of a Web Page Request
Now that we’ve covered the link layer in this chapter, and the network, transport and application layers in earlier chapters, our journey down the protocol stack is complete! In the very beginning of this book
(Section 1.1), we wrote “much of this book is concerned with computer network protocols,” and in the first five chapters, we’ve certainly seen that this is indeed the case! Before heading into the topical
chapters in second part of this book, we’d like to wrap up our journey down the protocol stack by taking an integrated, holistic view of the protocols we’ve learned about so far. One way then to take this “big picture” view is to identify the many (many!) protocols that are involved in satisfying even the simplest
request: downloading a Web page. Figure 6.32 illustrates our setting: a student, Bob, connects a laptop to his school’s Ethernet switch and downloads a Web page (say the home page of www.google.com).
As we now know, there’s a lot going on “under the hood” to satisfy this seemingly simple request. A Wireshark lab at the end of this chapter examines trace files containing a number of the packets
involved in similar scenarios in more detail.
6.7.1 Getting Started: DHCP, UDP, IP, and Ethernet
Let’s suppose that Bob boots up his laptop and then connects it to an Ethernet cable connected to the
school’s Ethernet switch, which in turn is connected to the school’s router, as shown in Figure 6.32. The school’s router is connected to an ISP, in this example, comcast.net. In this example, comcast.net is
providing the DNS service for the school; thus, the DNS server resides in the Comcast network rather than the school network. We’ll assume that the DHCP server is running within the router, as is often the case.
When Bob first connects his laptop to the network, he can’t do anything (e.g., download a Web page) without an IP address. Thus, the first network-related
Figure 6.32 A day in the life of a Web page request: Network setting and actions
action taken by Bob’s laptop is to run the DHCP protocol to obtain an IP address, as well as other information, from the local DHCP server:
1. The operating system on Bob’s laptop creates a DHCP request message (Section 4.3.3) and puts this message within a UDP segment (Section 3.3) with destination port 67 (DHCP server)
and source port 68 (DHCP client). The UDP segment is then placed within an IP datagram (Section 4.3.1) with a broadcast IP destination address (255.255.255.255) and a source IP
address of 0.0.0.0, since Bob’s laptop doesn’t yet have an IP address.
2. The IP datagram containing the DHCP request message is then placed within an Ethernet
frame (Section 6.4.2). The Ethernet frame has a destination MAC addresses of FF:FF:FF:FF:FF:FF so that the frame will be broadcast to all devices connected to the switch
(hopefully including a DHCP server); the frame’s source MAC address is that of Bob’s laptop, 00:16:D3:23:68:8A.
3. The broadcast Ethernet frame containing the DHCP request is the first frame sent by Bob’s laptop to the Ethernet switch. The switch broadcasts the incoming frame on all outgoing ports,
including the port connected to the router.
4. The router receives the broadcast Ethernet frame containing the DHCP request on its interface with MAC address 00:22:6B:45:1F:1B and the IP datagram is extracted from the Ethernet frame.
The datagram’s broadcast IP destination address indicates that this IP datagram should be processed by upper layer protocols at this node, so the datagram’s payload (a UDP segment) is
thus demultiplexed (Section 3.2) up to UDP, and the DHCP request message is extracted from the UDP segment. The DHCP server now has the DHCP request message.
5. Let’s suppose that the DHCP server running within the router can allocate IP addresses in the
CIDR (Section 4.3.3) block 68.85.2.0/24. In this example, all IP addresses used within the school are thus within Comcast’s address block. Let’s suppose the DHCP server allocates
address 68.85.2.101 to Bob’s laptop. The DHCP server creates a DHCP ACK message (Section 4.3.3) containing this IP address, as well as the IP address of the DNS server
(68.87.71.226), the IP address for the default gateway router (68.85.2.1), and the subnet block (68.85.2.0/24) (equivalently, the “network mask”). The DHCP message is put inside a UDP segment, which is put inside an IP datagram, which is put inside an Ethernet frame. The Ethernet frame has a source MAC address of the router’s interface to the home network (00:22:6B:45:1F:1B) and a destination MAC address of Bob’s laptop (00:16:D3:23:68:8A).
6. The Ethernet frame containing the DHCP ACK is sent (unicast) by the router to the switch.
Because the switch is self-learning (Section 6.4.3) and previously received an Ethernet frame (containing the DHCP request) from Bob’s laptop, the switch knows to forward a frame
addressed to 00:16:D3:23:68:8A only to the output port leading to Bob’s laptop.
7. Bob’s laptop receives the Ethernet frame containing the DHCP ACK, extracts the IP datagram from the Ethernet frame, extracts the UDP segment from the IP datagram, and extracts the
DHCP ACK message from the UDP segment. Bob’s DHCP client then records its IP address and the IP address of its DNS server. It also installs the address of the default gateway into its IP
forwarding table (Section 4.1). Bob’s laptop will send all datagrams with destination address outside of its subnet 68.85.2.0/24 to the default gateway. At this point, Bob’s laptop has
initialized its networking components and is ready to begin processing the Web page fetch.
(Note that only the last two DHCP steps of the four presented in Chapter 4 are actually necessary.)
6.7.2 Still Getting Started: DNS and ARP
When Bob types the URL for www.google.com into his Web browser, he begins the long chain of events that will eventually result in Google’s home page being displayed by his Web browser. Bob’s
Web browser begins the process by creating a TCP socket (Section 2.7) that will be used to send the HTTP request (Section 2.2) to www.google.com. In order to create the socket, Bob’s laptop will need
to know the IP address of www.google.com. We learned in Section 2.5, that the DNS protocol is used to provide this name-to-IP-address translation service.
8. The operating system on Bob’s laptop thus creates a DNS query message (Section 2.5.3), putting the string “www.google.com” in the question section of the DNS message. This DNS
message is then placed within a UDP segment with a destination port of 53 (DNS server). The UDP segment is then placed within an IP datagram with an IP destination address of
68.87.71.226 (the address of the DNS server returned in the DHCP ACK in step 5) and a source IP address of 68.85.2.101.
9. Bob’s laptop then places the datagram containing the DNS query message in an Ethernet frame. This frame will be sent (addressed, at the link layer) to the gateway router in Bob’s school’s
network. However, even though Bob’s laptop knows the IP address of the school’s gateway router (68.85.2.1) via the DHCP ACK message in step 5 above, it doesn’t know the gateway router’s MAC address. In order to obtain the MAC address of the gateway router, Bob’s laptop
will need to use the ARP protocol (Section 6.4.1).
10. Bob’s laptop creates an ARP query message with a target IP address of 68.85.2.1 (the default
gateway), places the ARP message within an Ethernet frame with a broadcast destination address (FF:FF:FF:FF:FF:FF) and sends the Ethernet frame to the switch, which delivers the frame to all connected devices, including the gateway router.
11. The gateway router receives the frame containing the ARP query message on the interface to the school network, and finds that the target IP address of 68.85.2.1 in the ARP message
matches the IP address of its interface. The gateway router thus prepares an ARP reply, indicating that its MAC address of 00:22:6B:45:1F:1B corresponds to IP address 68.85.2.1. It places the ARP reply message in an Ethernet frame, with a destination address of 00:16:D3:23:68:8A (Bob’s laptop) and sends the frame to the switch, which delivers the frame to Bob’s laptop.
12. Bob’s laptop receives the frame containing the ARP reply message and extracts the MAC address of the gateway router (00:22:6B:45:1F:1B) from the ARP reply message.
13. Bob’s laptop can now (finally!) address the Ethernet frame containing the DNS query to the gateway router’s MAC address. Note that the IP datagram in this frame has an IP destination
address of 68.87.71.226 (the DNS server), while the frame has a destination address of 00:22:6B:45:1F:1B (the gateway router). Bob’s laptop sends this frame to the switch, which delivers the frame to the gateway router.
6.7.3 Still Getting Started: Intra-Domain Routing to the DNS Server
14. The gateway router receives the frame and extracts the IP datagram containing the DNS query. The router looks up the destination address of this datagram (68.87.71.226) and determines
from its forwarding table that the datagram should be sent to the leftmost router in the Comcast
network in Figure 6.32. The IP datagram is placed inside a link-layer frame appropriate for the link connecting the school’s router to the leftmost Comcast router and the frame is sent over this
link.
15. The leftmost router in the Comcast network receives the frame, extracts the IP datagram, examines the datagram’s destination address (68.87.71.226) and determines the outgoing
interface on which to forward the datagram toward the DNS server from its forwarding table, which has been filled in by Comcast’s intra-domain protocol (such as RIP, OSPF or IS-IS,
Section 5.3) as well as the Internet’s inter-domain protocol, BGP (Section 5.4).
16. Eventually the IP datagram containing the DNS query arrives at the DNS server. The DNS
server extracts the DNS query message, looks up the name www.google.com in its DNS
database (Section 2.5), and finds the DNS resource record that contains the IP address
(64.233.169.105) for www.google.com. (assuming that it is currently cached in the DNS
server). Recall that this cached data originated in the authoritative DNS server (Section 2.5.2) for googlecom. The DNS server forms a DNS reply message containing this hostname-to-IP-
address mapping, and places the DNS reply message in a UDP segment, and the segment within an IP datagram addressed to Bob’s laptop (68.85.2.101). This datagram will be forwarded back through the Comcast network to the school’s router and from there, via the Ethernet switch to Bob’s laptop.
17. Bob’s laptop extracts the IP address of the server www.google.com from the DNS message. Finally, after a lot of work, Bob’s laptop is now ready to contact the www.google.com server!
6.7.4 Web Client-Server Interaction: TCP and HTTP
18. Now that Bob’s laptop has the IP address of www.google.com, it can create the TCP socket
(Section 2.7) that will be used to send the HTTP GET message (Section 2.2.3) to
www.google.com. When Bob creates the TCP socket, the TCP in Bob’s laptop must first
perform a three-way handshake (Section 3.5.6) with the TCP in www.google.com. Bob’s laptop thus first creates a TCP SYN segment with destination port 80 (for HTTP), places the
TCP segment inside an IP datagram with a destination IP address of 64.233.169.105
(www.google.com), places the datagram inside a frame with a destination MAC address of 00:22:6B:45:1F:1B (the gateway router) and sends the frame to the switch.
19. The routers in the school network, Comcast’s network, and Google’s network forward the
datagram containing the TCP SYN toward www.google.com, using the forwarding table in each router, as in steps 14–16 above. Recall that the router forwarding table entries governing
forwarding of packets over the inter-domain link between the Comcast and Google networks are determined by the BGP protocol (Chapter 5).
20. Eventually, the datagram containing the TCP SYN arrives at www.google.com. The TCP SYN message is extracted from the datagram and demultiplexed to the welcome socket associated
with port 80. A connection socket (Section 2.7) is created for the TCP connection between the Google HTTP server and Bob’s laptop. A TCP SYNACK (Section 3.5.6) segment is generated,
placed inside a datagram addressed to Bob’s laptop, and finally placed inside a link-layer frame
appropriate for the link connecting www.google.com to its first-hop router.
21. The datagram containing the TCP SYNACK segment is forwarded through the Google,
Comcast, and school networks, eventually arriving at the Ethernet card in Bob’s laptop. The datagram is demultiplexed within the operating system to the TCP socket created in step 18, which enters the connected state.
22. With the socket on Bob’s laptop now (finally!) ready to send bytes to www.google.com, Bob’s browser creates the HTTP GET message (Section 2.2.3) containing the URL to be fetched. The
HTTP GET message is then written into the socket, with the GET message becoming the payload of a TCP segment. The TCP segment is placed in a datagram and sent and delivered to
www.google.com as in steps 18–20 above.
23. The HTTP server at www.google.com reads the HTTP GET message from the TCP socket,
creates an HTTP response message (Section 2.2), places the requested Web page content in the body of the HTTP response message, and sends the message into the TCP socket.
24. The datagram containing the HTTP reply message is forwarded through the Google, Comcast, and school networks, and arrives at Bob’s laptop. Bob’s Web browser program reads the HTTP
response from the socket, extracts the html for the Web page from the body of the HTTP response, and finally (finally!) displays the Web page!
Our scenario above has covered a lot of networking ground! If you’ve understood most or all of the
above example, then you’ve also covered a lot of ground since you first read Section 1.1, where we wrote “much of this book is concerned with computer network protocols” and you may have wondered
what a protocol actually was! As detailed as the above example might seem, we’ve omitted a number of possible additional protocols (e.g., NAT running in the school’s gateway router, wireless access to the school’s network, security protocols for accessing the school network or encrypting segments or datagrams, network management protocols), and considerations (Web caching, the DNS hierarchy) that one would encounter in the public Internet. We’ll cover a number of these topics and more in the second part of this book.
Lastly, we note that our example above was an integrated and holistic, but also very “nuts and bolts,” view of many of the protocols that we’ve studied in the first part of this book. The example focused more on the “how” than the “why.” For a broader, more reflective view on the design of network protocols in
general, see [Clark 1988, RFC 5218].
6.8 Summary
In this chapter, we’ve examined the link layer—its services, the principles underlying its operation, and a number of important specific protocols that use these principles in implementing link-layer services.
We saw that the basic service of the link layer is to move a network-layer datagram from one node (host, switch, router, WiFi access point) to an adjacent node. We saw that all link-layer protocols operate by encapsulating a network-layer datagram within a link-layer frame before transmitting the frame over the link to the adjacent node. Beyond this common framing function, however, we learned that different link-layer protocols provide very different link access, delivery, and transmission services. These differences are due in part to the wide variety of link types over which link-layer protocols must operate. A simple point-to-point link has a single sender and receiver communicating over a single “wire.” A multiple access link is shared among many senders and receivers; consequently, the link-layer protocol for a multiple access channel has a protocol (its multiple access protocol) for coordinating link access. In the case of MPLS, the “link” connecting two adjacent nodes (for example, two IP routers that are adjacent in an IP sense—that they are next-hop IP routers toward some destination) may actually be a
network in and of itself. In one sense, the idea of a network being considered as a link should not seem odd. A telephone link connecting a home modem/computer to a remote modem/router, for example, is
actually a path through a sophisticated and complex telephone network.
Among the principles underlying link-layer communication, we examined error-detection and -correction techniques, multiple access protocols, link-layer addressing, virtualization (VLANs), and the construction of extended switched LANs and data center networks. Much of the focus today at the link layer is on these switched networks. In the case of error detection/correction, we examined how it is possible to add additional bits to a frame’s header in order to detect, and in some cases correct, bit-flip errors that might occur when the frame is transmitted over the link. We covered simple parity and checksumming schemes, as well as the more robust cyclic redundancy check. We then moved on to the topic of multiple access protocols. We identified and studied three broad approaches for coordinating access to a broadcast channel: channel partitioning approaches (TDM, FDM), random access approaches (the ALOHA protocols and CSMA protocols), and taking-turns approaches (polling and token passing). We studied the cable access network and found that it uses many of these multiple access methods. We saw that a consequence of having multiple nodes share a single broadcast channel was the need to provide node addresses at the link layer. We learned that link-layer addresses were quite different from network-layer addresses and that, in the case of the Internet, a special protocol (ARP—the Address Resolution Protocol) is used to translate between these two forms of addressing and studied the hugely successful Ethernet protocol in detail. We then examined how nodes sharing a broadcast channel form
a LAN and how multiple LANs can be connected together to form larger LANs—all without the intervention of network-layer routing to interconnect these local nodes. We also learned how multiple
virtual LANs can be created on a single physical LAN infrastructure.
We ended our study of the link layer by focusing on how MPLS networks provide link-layer services when they interconnect IP routers and an overview of the network designs for today’s massive data centers. We wrapped up this chapter (and indeed the first five chapters) by identifying the many
protocols that are needed to fetch a simple Web page. Having covered the link layer, our journey down the protocol stack is now over! Certainly, the physical layer lies below the link layer, but the details of the
physical layer are probably best left for another course (for example, in communication theory, rather than computer networking). We have, however, touched upon several aspects of the physical layer in
this chapter and in Chapter 1 (our discussion of physical media in Section 1.2). We’ll consider the physical layer again when we study wireless link characteristics in the next chapter.
Although our journey down the protocol stack is over, our study of computer networking is not yet at an end. In the following three chapters we cover wireless networking, network security, and multimedia networking. These four topics do not fit conveniently into any one layer; indeed, each topic crosscuts many layers. Understanding these topics (billed as advanced topics in some networking texts) thus requires a firm foundation in all layers of the protocol stack—a foundation that our study of the link layer has now completed!
Homework Problems and Questions
Chapter 6 Review Questions
SECTIONS 6.1–6.2
R1. Consider the transportation analogy in Section 6.1.1 . If the passenger is analagous to a datagram, what is analogous to the link layer frame?
R2. If all the links in the Internet were to provide reliable delivery service, would the TCP reliable delivery service be redundant? Why or why not?
R3. What are some of the possible services that a link-layer protocol can offer to the network layer? Which of these link-layer services have corresponding services in IP? In TCP?
SECTION 6.3
R4. Suppose two nodes start to transmit at the same time a packet of length L over a broadcast channel of rate R. Denote the propagation delay between the two nodes as dprop. Will there be a collision if dprop
80
any
allow
outside of 222.22/16
222.22/16
TCP
80
> 1023
ACK
allow
222.22/16
outside of 222.22/16
UDP
> 1023
53
—
allow
outside of 222.22/16
222.22/16
UDP
53
> 1023
—
deny
all
all
all
all
all
all
Recall from Section 3.5 that the first segment in every TCP connection has the ACK bit set to 0, whereas all the other segments in the connection have the ACK bit set to 1. Thus, if an organization wants to prevent external clients from initiating connections to internal servers, it simply filters all incoming segments with the ACK bit set to 0. This policy kills all TCP connections originating from the outside, but permits connections originating internally.
Firewall rules are implemented in routers with access control lists, with each router interface having its
own list. An example of an access control list for an organization 222.22/16 is shown in Table 8.6. This access control list is for an interface that connects the router to the organization’s external ISPs. Rules
are applied to each datagram that passes through the interface from top to bottom. The first two rules together allow internal users to surf the Web: The first rule allows any TCP packet with destination port 80 to leave the organization’s network; the second rule allows any TCP packet with source port 80 and the ACK bit set to enter the organization’s network. Note that if an external source attempts to establish a TCP connection with an internal host, the connection will be blocked, even if the source or destination port is 80. The second two rules together allow DNS packets to enter and leave the organization’s
network. In summary, this rather restrictive access control list blocks all traffic except Web traffic initiated
from within the organization and DNS traffic. [CERT Filtering 2012] provides a list of recommended port/protocol packet filterings to avoid a number of well-known security holes in existing network
applications.
Stateful Packet Filters
In a traditional packet filter, filtering decisions are made on each packet in isolation. Stateful filters actually track TCP connections, and use this knowledge to make filtering decisions.
Table 8.7 Connection table for stateful filter
source address
dest address
source port
dest port
222.22.1.7
37.96.87.123
12699
80
222.22.93.2
199.1.205.23
37654
80
222.22.65.143
203.77.240.43
48712
80
To understand stateful filters, let’s reexamine the access control list in Table 8.6. Although rather restrictive, the access control list in Table 8.6 nevertheless allows any packet arriving from the outside
with ACK = 1 and source port 80 to get through the filter. Such packets could be used by attackers in attempts to crash internal systems with malformed packets, carry out denial-of-service attacks, or map the internal network. The naive solution is to block TCP ACK packets as well, but such an approach would prevent the organization’s internal users from surfing the Web.
Stateful filters solve this problem by tracking all ongoing TCP connections in a connection table. This is possible because the firewall can observe the beginning of a new connection by observing a three-way handshake (SYN, SYNACK, and ACK); and it can observe the end of a connection when it sees a FIN packet for the connection. The firewall can also (conservatively) assume that the connection is over when it hasn’t seen any activity over the connection for, say, 60 seconds. An example connection table
for a firewall is shown in Table 8.7. This connection table indicates that there are currently three ongoing TCP connections, all of which have been initiated from within the organization. Additionally, the stateful
filter includes a new column, “check connection,” in its access control list, as shown in Table 8.8. Note that Table 8.8 is identical to the access control list in Table 8.6, except now it indicates that the
connection should be checked for two of the rules.
Let’s walk through some examples to see how the connection table and the extended access control list
work hand-in-hand. Suppose an attacker attempts to send a malformed packet into the organization’s network by sending a datagram with TCP source port 80 and with the ACK flag set. Further suppose that this packet has source port number 12543 and source IP address 150.23.23.155. When this packet
reaches the firewall, the firewall checks the access control list in Table 8.7, which indicates that the connection table must also be checked before permitting this packet to enter the organization’s network.
The firewall duly checks the connection table, sees that this packet is not part of an ongoing TCP connection, and rejects the packet. As a second example, suppose that an internal user wants to surf an external Web site. Because this user first sends a TCP SYN segment, the user’s TCP connection gets recorded in the connection table. When
Table 8.8 Access control list for stateful filter
action
source address
dest address
protocol
source port
dest port
flag bit
check conxion
allow
222.22/16
outside of 222.22/16
TCP
> 1023
80
any
allow
outside of 222.22/16
222.22/16
TCP
80
> 1023
ACK
X
allow
222.22/16
outside of 222.22/16
UDP
> 1023
53
—
allow
outside of 222.22/16
222.22/16
UDP
53
> 1023
—
X
deny
all
all
all
all
all
all
the Web server sends back packets (with the ACK bit necessarily set), the firewall checks the table and sees that a corresponding connection is in progress. The firewall will thus let these packets pass, thereby not interfering with the internal user’s Web surfing activity.
Application Gateway
In the examples above, we have seen that packet-level filtering allows an organization to perform coarse-grain filtering on the basis of the contents of IP and TCP/UDP headers, including IP addresses, port numbers, and acknowledgment bits. But what if an organization wants to provide a Telnet service to a restricted set of internal users (as opposed to IP addresses)? And what if the organization wants such privileged users to authenticate themselves first before being allowed to create Telnet sessions to the
outside world? Such tasks are beyond the capabilities of traditional and stateful filters. Indeed, information about the identity of the internal users is application-layer data and is not included in the IP/TCP/UDP headers.
To have finer-level security, firewalls must combine packet filters with application gateways. Application gateways look beyond the IP/TCP/UDP headers and make policy decisions based on application data. An application gateway is an application-specific server through which all application data (inbound and outbound) must pass. Multiple application gateways can run on the same host, but each gateway is a separate server with its own processes.
To get some insight into application gateways, let’s design a firewall that allows only a restricted set of internal users to Telnet outside and prevents all external clients from Telneting inside. Such a policy can be accomplished by implementing
Figure 8.34 Firewall consisting of an application gateway and a filter
a combination of a packet filter (in a router) and a Telnet application gateway, as shown in Figure 8.34. The router’s filter is configured to block all Telnet connections except those that originate from the IP
address of the application gateway. Such a filter configuration forces all outbound Telnet connections to pass through the application gateway. Consider now an internal user who wants to Telnet to the outside world. The user must first set up a Telnet session with the application gateway. An application running in the gateway, which listens for incoming Telnet sessions, prompts the user for a user ID and password. When the user supplies this information, the application gateway checks to see if the user has
permission to Telnet to the outside world. If not, the Telnet connection from the internal user to the gateway is terminated by the gateway. If the user has permission, then the gateway (1) prompts the user for the host name of the external host to which the user wants to connect, (2) sets up a Telnet session between the gateway and the external host, and (3) relays to the external host all data arriving from the user, and relays to the user all data arriving from the external host. Thus, the Telnet application gateway not only performs user authorization but also acts as a Telnet server and a Telnet client, relaying information between the user and the remote Telnet server. Note that the filter will permit step 2 because the gateway initiates the Telnet connection to the outside world.
CASE HISTORY
ANONYMITY AND PRIVACY
Suppose you want to visit a controversial Web site (for example, a political activist site) and you (1) don’t want to reveal your IP address to the Web site, (2) don’t want your local ISP (which may be your home or office ISP) to know that you are visiting the site, and (3) don’t want your local ISP to see the data you are exchanging with the site. If you use the traditional approach of connecting directly to the Web site without any encryption, you fail on all three counts. Even if you use SSL, you fail on the first two counts: Your source IP address is presented to the Web site in every datagram you send; and the destination address of every packet you send can easily be sniffed by your local ISP.
To obtain privacy and anonymity, you can instead use a combination of a trusted proxy server
and SSL, as shown in Figure 8.35. With this approach, you first make an SSL connection to the trusted proxy. You then send, into this SSL connection, an HTTP request for a page at the
desired site. When the proxy receives the SSL-encrypted HTTP request, it decrypts the request and forwards the cleartext HTTP request to the Web site. The Web site then responds to the proxy, which in turn forwards the response to you over SSL. Because the Web site only sees the IP address of the proxy, and not of your client’s address, you are indeed obtaining anonymous access to the Web site. And because all traffic between you and the proxy is encrypted, your local ISP cannot invade your privacy by logging the site you visited or recording the data you are
exchanging. Many companies today (such as proxify .com) make available such proxy services.
Of course, in this solution, your proxy knows everything: It knows your IP address and the IP address of the site you’re surfing; and it can see all the traffic in cleartext exchanged between you and the Web site. Such a solution, therefore, is only as good as the trustworthiness of the proxy. A more robust approach, taken by the TOR anonymizing and privacy service, is to route
your traffic through a series of non-colluding proxy servers [TOR 2016]. In particular, TOR allows independent individuals to contribute proxies to its proxy pool. When a user connects to
a server using TOR, TOR randomly chooses (from its proxy pool) a chain of three proxies and routes all traffic between client and server over the chain. In this manner, assuming the proxies do not collude, no one knows that communication took place between your IP address and the
target Web site. Furthermore, although cleartext is sent between the last proxy and the server, the last proxy doesn’t know what IP address is sending and receiving the cleartext.
Figure 8.35 Providing anonymity and privacy with a proxy
Internal networks often have multiple application gateways, for example, gateways for Telnet, HTTP,
FTP, and e-mail. In fact, an organization’s mail server (see Section 2.3) and Web cache are application gateways.
Application gateways do not come without their disadvantages. First, a different application gateway is needed for each application. Second, there is a performance penalty to be paid, since all data will be relayed via the gateway. This becomes a concern particularly when multiple users or applications are using the same gateway machine. Finally, the client software must know how to contact the gateway when the user makes a request, and must know how to tell the application gateway what external server to connect to.
8.9.2 Intrusion Detection Systems
We’ve just seen that a packet filter (traditional and stateful) inspects IP, TCP, UDP, and ICMP header fields when deciding which packets to let pass through the firewall. However, to detect many attack types, we need to perform deep packet inspection, that is, look beyond the header fields and into the
actual application data that the packets carry. As we saw in Section 8.9.1, application gateways often do deep packet inspection. But an application gateway only does this for a specific application.
Clearly, there is a niche for yet another device—a device that not only examines the headers of all packets passing through it (like a packet filter), but also performs deep packet inspection (unlike a packet filter). When such a device observes a suspicious packet, or a suspicious series of packets, it could prevent those packets from entering the organizational network. Or, because the activity is only
deemed as suspicious, the device could let the packets pass, but send alerts to a network administrator, who can then take a closer look at the traffic and take appropriate actions. A device that generates alerts when it observes potentially malicious traffic is called an intrusion detection system (IDS). A device that filters out suspicious traffic is called an intrusion prevention system (IPS). In this section we study both systems—IDS and IPS—together, since the most interesting technical aspect of these systems is how they detect suspicious traffic (and not whether they send alerts or drop packets). We will henceforth collectively refer to IDS systems and IPS systems as IDS systems.
An IDS can be used to detect a wide range of attacks, including network mapping (emanating, for example, from nmap), port scans, TCP stack scans, DoS bandwidth-flooding attacks, worms and
viruses, OS vulnerability attacks, and application vulnerability attacks. (See Section 1.6 for a survey of network attacks.) Today, thousands of organizations employ IDS systems. Many of these deployed
systems are proprietary, marketed by Cisco, Check Point, and other security equipment vendors. But many of the deployed IDS systems are public-domain systems, such as the immensely popular Snort IDS system (which we’ll discuss shortly).
An organization may deploy one or more IDS sensors in its organizational network. Figure 8.36 shows an organization that has three IDS sensors. When multiple sensors are deployed, they typically work in
concert, sending information about
Figure 8.36 An organization deploying a filter, an application gateway, and IDS sensors
suspicious traffic activity to a central IDS processor, which collects and integrates the information and
sends alarms to network administrators when deemed appropriate. In Figure 8.36, the organization has partitioned its network into two regions: a high-security region, protected by a packet filter and an
application gateway and monitored by IDS sensors; and a lower-security region—referred to as the demilitarized zone (DMZ)—which is protected only by the packet filter, but also monitored by IDS sensors. Note that the DMZ includes the organization’s servers that need to communicate with the outside world, such as its public Web server and its authoritative DNS server.
You may be wondering at this stage, why multiple IDS sensors? Why not just place one IDS sensor just
behind the packet filter (or even integrated with the packet filter) in Figure 8.36? We will soon see that an IDS not only needs to do deep packet inspection, but must also compare each passing packet with
tens of thousands of “signatures”; this can be a significant amount of processing, particularly if the organization receives gigabits/sec of traffic from the Internet. By placing the IDS sensors further downstream, each sensor sees only a fraction of the organization’s traffic, and can more easily keep up. Nevertheless, high-performance IDS and IPS systems are available today, and many organizations can actually get by with just one sensor located near its access router.
IDS systems are broadly classified as either signature-based systems or anomaly-based systems. A signature-based IDS maintains an extensive database of attack signatures. Each signature is a set of rules pertaining to an intrusion activity. A signature may simply be a list of characteristics about a single packet (e.g., source and destination port numbers, protocol type, and a specific string of bits in the packet payload), or may relate to a series of packets. The signatures are normally created by skilled network security engineers who research known attacks. An organization’s network administrator can customize the signatures or add its own to the database.
Operationally, a signature-based IDS sniffs every packet passing by it, comparing each sniffed packet with the signatures in its database. If a packet (or series of packets) matches a signature in the database, the IDS generates an alert. The alert could be sent to the network administrator in an e-mail message, could be sent to the network management system, or could simply be logged for future inspection.
Signature-based IDS systems, although widely deployed, have a number of limitations. Most importantly, they require previous knowledge of the attack to generate an accurate signature. In other words, a signature-based IDS is completely blind to new attacks that have yet to be recorded. Another disadvantage is that even if a signature is matched, it may not be the result of an attack, so that a false alarm is generated. Finally, because every packet must be compared with an extensive collection of signatures, the IDS can become overwhelmed with processing and actually fail to detect many malicious
packets.
An anomaly-based IDS creates a traffic profile as it observes traffic in normal operation. It then looks for packet streams that are statistically unusual, for example, an inordinate percentage of ICMP packets or a sudden exponential growth in port scans and ping sweeps. The great thing about anomaly-based IDS systems is that they don’t rely on previous knowledge about existing attacks—that is, they can potentially detect new, undocumented attacks. On the other hand, it is an extremely challenging problem to distinguish between normal traffic and statistically unusual traffic. To date, most IDS deployments are primarily signature-based, although some include some anomaly-based features.
Snort
Snort is a public-domain, open source IDS with hundreds of thousands of existing deployments [Snort 2012; Koziol 2003]. It can run on Linux, UNIX, and Windows platforms. It uses the generic sniffing
interface libpcap, which is also used by Wireshark and many other packet sniffers. It can easily handle 100 Mbps of traffic; for installations with gibabit/sec traffic rates, multiple Snort sensors may be needed.
To gain some insight into Snort, let’s take a look at an example of a Snort signature:
This signature is matched by any ICMP packet that enters the organization’s network ($HOME_NET) from the outside ($EXTERNAL_NET), is of type 8 (ICMP ping), and has an empty payload (dsize = 0).
Since nmap (see Section 1.6) generates ping packets with these specific characteristics, this signature is designed to detect nmap ping sweeps. When a packet matches this signature, Snort generates an
alert that includes the message “ICMP PING NMAP”.
Perhaps what is most impressive about Snort is the vast community of users and security experts that maintain its signature database. Typically within a few hours of a new attack, the Snort community writes and releases an attack signature, which is then downloaded by the hundreds of thousands of Snort deployments distributed around the world. Moreover, using the Snort signature syntax, network administrators can tailor the signatures to their own organization’s needs by either modifying existing signatures or creating entirely new ones.
alert icmp $EXTERNAL_NET any -> $HOME_NET any
(msg:”ICMP PING NMAP”; dsize: 0; itype: 8;)
8.10 Summary
In this chapter, we’ve examined the various mechanisms that our secret lovers, Bob and Alice, can use to communicate securely. We’ve seen that Bob and Alice are interested in confidentiality (so they alone are able to understand the contents of a transmitted message), end-point authentication (so they are sure that they are talking with each other), and message integrity (so they are sure that their messages are not altered in transit). Of course, the need for secure communication is not confined to secret lovers.
Indeed, we saw in Sections 8.5 through 8.8 that security can be used in various layers in a network architecture to protect against bad guys who have a large arsenal of possible attacks at hand.
The first part of this chapter presented various principles underlying secure communication. In Section 8.2, we covered cryptographic techniques for encrypting and decrypting data, including symmetric key
cryptography and public key cryptography. DES and RSA were examined as specific case studies of these two major classes of cryptographic techniques in use in today’s networks.
In Section 8.3, we examined two approaches for providing message integrity: message authentication codes (MACs) and digital signatures. The two approaches have a number of parallels. Both use
cryptographic hash functions and both techniques enable us to verify the source of the message as well as the integrity of the message itself. One important difference is that MACs do not rely on encryption whereas digital signatures require a public key infrastructure. Both techniques are extensively used in
practice, as we saw in Sections 8.5 through 8.8. Furthermore, digital signatures are used to create digital certificates, which are important for verifying the validity of public keys. In Section 8.4, we
examined endpoint authentication and introduced nonces to defend against the replay attack.
In Sections 8.5 through 8.8 we examined several security networking protocols that enjoy extensive use in practice. We saw that symmetric key cryptography is at the core of PGP, SSL, IPsec, and wireless
security. We saw that public key cryptography is crucial for both PGP and SSL. We saw that PGP uses digital signatures for message integrity, whereas SSL and IPsec use MACs. Having now an understanding of the basic principles of cryptography, and having studied how these principles are actually used, you are now in position to design your own secure network protocols!
Armed with the techniques covered in Sections 8.2 through 8.8, Bob and Alice can communicate securely. (One can only hope that they are networking students who have learned this material and can
thus avoid having their tryst uncovered by Trudy!) But confidentiality is only a small part of the network
security picture. As we learned in Section 8.9, increasingly, the focus in network security has been on securing the network infrastructure against a potential onslaught by the bad guys. In the latter part of
this chapter, we thus covered firewalls and IDS systems which inspect packets entering and leaving an
organization’s network.
This chapter has covered a lot of ground, while focusing on the most important topics in modern network security. Readers who desire to dig deeper are encouraged to investigate the references cited in this
chapter. In particular, we recommend [Skoudis 2006] for attacks and operational security, [Kaufman 1995] for cryptography and how it applies to network security, [Rescorla 2001] for an in-depth but
readable treatment of SSL, and [Edney 2003] for a thorough discussion of 802.11 security, including an insightful investigation into WEP and its flaws.
Homework Problems and Questions
Chapter 8 Review Problems
SECTION 8.1
R1. What are the differences between message confidentiality and message integrity? Can you have confidentiality without integrity? Can you have integrity without confidentiality? Justify your
answer.
R2. Internet entities (routers, switches, DNS servers, Web servers, user end systems, and so on) often need to communicate securely. Give three specific example pairs of Internet entities
that may want secure communication.
SECTION 8.2
R3. From a service perspective, what is an important difference between a symmetric-key system and a public-key system?
R4. Suppose that an intruder has an encrypted message as well as the decrypted version of that message. Can the intruder mount a ciphertext-only attack, a known-plaintext attack, or a chosen-
plaintext attack?
R5. Consider an 8-block cipher. How many possible input blocks does this cipher have? How many possible mappings are there? If we view each mapping as a key, then how many possible
keys does this cipher have?
R6. Suppose N people want to communicate with each of N−1 other people using symmetric key
encryption. All communication between any two people, i and j, is visible to all other people in
this group of N, and no other person in this group should be able to decode their communication. How many keys are required in the system as a whole? Now suppose that public key encryption
is used. How many keys are required in this case?
R7. Suppose n=10,000, a=10,023, and b=10,004. Use an identity of modular arithmetic to
calculate in your head (a⋅b)mod n.
R8. Suppose you want to encrypt the message 10101111 by encrypting the decimal number that
corresponds to the message. What is the decimal number?
SECTIONS 8.3–8.4
R9. In what way does a hash provide a better message integrity check than a checksum (such as the Internet checksum)?
R10. Can you “decrypt” a hash of a message to get the original message? Explain your answer. R11. Consider a variation of the MAC algorithm (Figure 8.9 ) where the sender sends
(m, H(m)+s), where H(m)+s is the concatenation of H(m) and s. Is this variation flawed? Why or why not?
R12. What does it mean for a signed document to be verifiable and nonforgeable?
R13. In what way does the public-key encrypted message hash provide a better digital signature than the public-key encrypted message?
R14. Suppose certifier.com creates a certificate for foo.com. Typically, the entire certificate would be encrypted with certifier.com’s public key. True or false?
R15. Suppose Alice has a message that she is ready to send to anyone who asks. Thousands of people want to obtain Alice’s message, but each wants to be sure of the integrity of the
message. In this context, do you think a MAC-based or a digital-signature-based integrity scheme is more suitable? Why?
R16. What is the purpose of a nonce in an end-point authentication protocol?
R17. What does it mean to say that a nonce is a once-in-a-lifetime value? In whose lifetime?
R18. Is the message integrity scheme based on HMAC susceptible to playback attacks? If so, how can a nonce be incorporated into the scheme to remove this susceptibility?
SECTIONS 8.5–8.8
R19. Suppose that Bob receives a PGP message from Alice. How does Bob know for sure that Alice created the message (rather than, say, Trudy)? Does PGP use a MAC for message
integrity?
R20. In the SSL record, there is a field for SSL sequence numbers. True or false? R21. What is the purpose of the random nonces in the SSL handshake?
R22. Suppose an SSL session employs a block cipher with CBC. True or false: The server sends to the client the IV in the clear.
R23. Suppose Bob initiates a TCP connection to Trudy who is pretending to be Alice. During the handshake, Trudy sends Bob Alice’s certificate. In what step of the SSL handshake algorithm
will Bob discover that he is not communicating with Alice?
R24. Consider sending a stream of packets from Host A to Host B using IPsec. Typically, a new SA will be established for each packet sent in the stream. True or false?
R25. Suppose that TCP is being run over IPsec between headquarters and the branch office in
Figure 8.28 . If TCP retransmits the same packet, then the two corresponding packets sent by R1 packets will have the same sequence number in the ESP header. True or false?
R26. An IKE SA and an IPsec SA are the same thing. True or false?
R27. Consider WEP for 802.11. Suppose that the data is 10101100 and the keystream is 1111000. What is the resulting ciphertext?
R28. In WEP, an IV is sent in the clear in every frame. True or false?
SECTION 8.9
R29. Stateful packet filters maintain two data structures. Name them and briefly describe what they do.
R30. Consider a traditional (stateless) packet filter. This packet filter may filter packets based on TCP flag bits as well as other header fields. True or false?
R31. In a traditional packet filter, each interface can have its own access control list. True or false?
R32. Why must an application gateway work in conjunction with a router filter to be effective?
R33. Signature-based IDSs and IPSs inspect into the payloads of TCP and UDP segments. True or false?
Problems
P1. Using the monoalphabetic cipher in Figure 8.3 , encode the message “This is an easy problem.” Decode the message “rmij’u uamu xyj.”
P2. Show that Trudy’s known-plaintext attack, in which she knows the (ciphertext, plaintext) translation pairs for seven letters, reduces the number of possible substitutions to be checked in
the example in Section 8.2.1 by approximately 109.
P3. Consider the polyalphabetic system shown in Figure 8.4 . Will a chosen-plaintext attack that
is able to get the plaintext encoding of the message “The quick brown fox jumps over the lazy dog.” be sufficient to decode all messages? Why or why not?
P4. Consider the block cipher in Figure 8.5 . Suppose that each block cipher Ti simply reverses the order of the eight input bits (so that, for example, 11110000 becomes 00001111). Further
suppose that the 64-bit scrambler does not modify any bits (so that the output value of the mth bit is equal to the input value of the mth bit). (a) With n=3 and the original 64-bit input equal to
10100000 repeated eight times, what is the value of the output? (b) Repeat part (a) but now change the last bit of the original 64-bit input from a 0 to a 1. (c) Repeat parts (a) and (b) but now suppose that the 64-bit scrambler inverses the order of the 64 bits.
P5. Consider the block cipher in Figure 8.5 . For a given “key” Alice and Bob would need to keep eight tables, each 8 bits by 8 bits. For Alice (or Bob) to store all eight tables, how many bits
of storage are necessary? How does this number compare with the number of bits required for a full-table 64-bit block cipher?
P6. Consider the 3-bit block cipher in Table 8.1 . Suppose the plaintext is 100100100. (a) Initially assume that CBC is not used. What is the resulting ciphertext? (b) Suppose Trudy sniffs the
ciphertext. Assuming she knows that a 3-bit block cipher without CBC is being employed (but doesn’t know the specific cipher), what can she surmise? (c) Now suppose that CBC is used
with IV=111. What is the resulting ciphertext?
P7. (a) Using RSA, choose p=3 and q=11, and encode the word “dog” by encrypting each letter separately. Apply the decryption algorithm to the encrypted version to recover the original
plaintext message. (b) Repeat part (a) but now encrypt “dog” as one message m. P8. Consider RSA with p=5 and q=11.
a. What are n and z?
b. Let e be 3. Why is this an acceptable choice for e?
c. Find d such that de=1 (mod z) and d<160.d. Encrypt the message m=8 using the key (n, e). Let c denote the correspondingciphertext. Show all work. Hint: To simplify the calculations, use the fact: [ (a mod n)⋅(b mod n)]mod n=(a⋅b)modnP9. In this problem, we explore the Diffie-Hellman (DH) public-key encryption algorithm, which allows two entities to agree on a shared key. The DH algorithm makes use of a large primenumber p and another large number g less than p. Both p and g are made public (so that anattacker would know them). In DH, Alice and Bob each independently choose secret keys, SAand SB, respectively. Alice then computes her public key, TA, by raising g to SA and then takingmod p. Bob similarly computes his own public key TB by raising g to SB and then taking mod p. Alice and Bob then exchange their public keys over the Internet. Alice then calculates the sharedsecret key S by raising TB to SA and then taking mod p. Similarly, Bob calculates the shared key S′ by raising TA to SB and then taking mod p.a. Prove that, in general, Alice and Bob obtain the same symmetric key, that is, prove S=S′.b. With p = 11 and g = 2, suppose Alice and Bob choose private keys SA=5 and SB=12,respectively. Calculate Alice’s and Bob’s public keys, TA and TB. Show all work.c. Following up on part (b), now calculate S as the shared symmetric key. Show all work.d. Provide a timing diagram that shows how Diffie-Hellman can be attacked by a man-in- the-middle. The timing diagram should have three vertical lines, one for Alice, one forBob, and one for the attacker Trudy.P10. Suppose Alice wants to communicate with Bob using symmetric key cryptography using a session key KS. In Section 8.2 , we learned how public-key cryptography can be used to distribute the session key from Alice to Bob. In this problem, we explore how the session key can be distributed—without public key cryptography—using a key distribution center (KDC). The KDC is a server that shares a unique secret symmetric key with each registered user. For Aliceand Bob, denote these keys by KA-KDC and KB-KDC. Design a scheme that uses the KDC to distribute KS to Alice and Bob. Your scheme should use three messages to distribute the sessionkey: a message from Alice to the KDC; a message from the KDC to Alice; and finally a message from Alice to Bob. The first message is KA-KDC (A, B). Using the notation, KA-KDC, KB-KDC, S, A, and B answer the following questions. a. What is the second message? b. What is the third message?P11. Compute a third message, different from the two messages in Figure 8.8 , that has thesame checksum as the messages in Figure 8.8 .P12. Suppose Alice and Bob share two secret keys: an authentication key S1 and a symmetricencryption key S2. Augment Figure 8.9 so that both integrity and confidentiality are provided.P13. In the BitTorrent P2P file distribution protocol (see Chapter 2 ), the seed breaks the file into blocks, and the peers redistribute the blocks to each other. Without any protection, an attackercan easily wreak havoc in a torrent by masquerading as a benevolent peer and sending bogus blocks to a small subset of peers in the torrent. These unsuspecting peers then redistribute the bogus blocks to other peers, which in turn redistribute the bogus blocks to even more peers. Thus, it is critical for BitTorrent to have a mechanism that allows a peer to verify the integrity of a block, so that it doesn’t redistribute bogus blocks. Assume that when a peer joins a torrent, itinitially gets a .torrent file from a fully trusted source. Describe a simple scheme that allows peers to verify the integrity of blocks.P14. The OSPF routing protocol uses a MAC rather than digital signatures to provide message integrity. Why do you think a MAC was chosen over digital signatures?P15. Consider our authentication protocol in Figure 8.18 in which Alice authenticates herself to Bob, which we saw works well (i.e., we found no flaws in it). Now suppose that while Alice isauthenticating herself to Bob, Bob must authenticate himself to Alice. Give a scenario by whichTrudy, pretending to be Alice, can now authenticate herself to Bob as Alice. (Hint: Consider that the sequence of operations of the protocol, one with Trudy initiating and one with Bob initiating,can be arbitrarily interleaved. Pay particular attention to the fact that both Bob and Alice will use a nonce, and that if care is not taken, the same nonce can be used maliciously.)P16. A natural question is whether we can use a nonce and public key cryptography to solve theend-point authentication problem in Section 8.4 . Consider the following natural protocol: (1)Alice sends the message “I am Alice” to Bob. (2) Bob chooses a nonce, R, and sends it toAlice. (3) Alice uses her private key to encrypt the nonce and sends the resulting value to Bob.(4) Bob applies Alice’s public key to the received message. Thus, Bob computes R and authenticates Alice.a. Diagram this protocol, using the notation for public and private keys employed in the textbook.b. Suppose that certificates are not used. Describe how Trudy can become a “woman-in- the-middle” by intercepting Alice’s messages and then pretending to be Alice to Bob.P17. Figure 8.19 shows the operations that Alice must perform with PGP to provide confidentiality, authentication, and integrity. Diagram the corresponding operations that Bobmust perform on the package received from Alice.P18. Suppose Alice wants to send an e-mail to Bob. Bob has a public-private key pair (KB+,KB−), and Alice has Bob’s certificate. But Alice does not have a public, private key pair. Alice and Bob (and the entire world) share the same hash function H(⋅).a. In this situation, is it possible to design a scheme so that Bob can verify that Alice created the message? If so, show how with a block diagram for Alice and Bob.b. Is it possible to design a scheme that provides confidentiality for sending the message from Alice to Bob? If so, show how with a block diagram for Alice and Bob.P19. Consider the Wireshark output below for a portion of an SSL session.a. Is Wireshark packet 112 sent by the client or server?b. What is the server’s IP address and port number?c. Assuming no loss and no retransmissions, what will be the sequence number of the next TCP segment sent by the client?d. How many SSL records does Wireshark packet 112 contain?e. Does packet 112 contain a Master Secret or an Encrypted Master Secret or neither?f. Assuming that the handshake type field is 1 byte and each length field is 3 bytes, what are the values of the first and last bytes of the Master Secret (or Encrypted MasterSecret)?g. The client encrypted handshake message takes into account how many SSL records?h. The server encrypted handshake message takes into account how many SSL records?P20. In Section 8.6.1 , it is shown that without sequence numbers, Trudy (a woman-in-the middle) can wreak havoc in an SSL session by interchanging TCP segments. Can Trudy dosomething similar by deleting a TCP segment? What does she need to do to succeed at the deletion attack? What effect will it have? (Wireshark screenshot reprinted by permission of the Wireshark Foundation.)P21. Suppose Alice and Bob are communicating over an SSL session. Suppose an attacker, who does not have any of the shared keys, inserts a bogus TCP segment into a packet streamwith correct TCP checksum and sequence numbers (and correct IP addresses and port numbers). Will SSL at the receiving side accept the bogus packet and pass the payload to the receiving application? Why or why not?P22. The following true/false questions pertain to Figure 8.28 .a. When a host in 172.16.1/24 sends a datagram to an Amazon.com server, the router R1will encrypt the datagram using IPsec.b. When a host in 172.16.1/24 sends a datagram to a host in 172.16.2/24, the router R1 will change the source and destination address of the IP datagram.c. Suppose a host in 172.16.1/24 initiates a TCP connection to a Web server in 172.16.2/24. As part of this connection, all datagrams sent by R1 will have protocolnumber 50 in the left-most IPv4 header field.d. Consider sending a TCP segment from a host in 172.16.1/24 to a host in 172.16.2/24. Suppose the acknowledgment for this segment gets lost, so that TCP resends thesegment. Because IPsec uses sequence numbers, R1 will not resend the TCP segment.P23. Consider the example in Figure 8.28 . Suppose Trudy is a woman-in-the-middle, who can insert datagrams into the stream of datagrams going from R1 and R2. As part of a replay attack,Trudy sends a duplicate copy of one of the datagrams sent from R1 to R2. Will R2 decrypt the duplicate datagram and forward it into the branch-office network? If not, describe in detail how R2 detects the duplicate datagram.P24. Consider the following pseudo-WEP protocol. The key is 4 bits and the IV is 2 bits. The IV is appended to the end of the key when generating the keystream. Suppose that the sharedsecret key is 1010. The keystreams for the four possible inputs are as follows: 101000: 0010101101010101001011010100100 . . .101001: 1010011011001010110100100101101 . . . 101010: 0001101000111100010100101001111 . . . 101011: 1111101010000000101010100010111 . . .Suppose all messages are 8 bits long. Suppose the ICV (integrity check) is 4 bits long, and is calculated by XOR-ing the first 4 bits of data with the last 4 bits of data. Suppose the pseudo- WEP packet consists of three fields: first the IV field, then the message field, and last the ICV field, with some of these fields encrypted.a. We want to send the message m=10100000 using the IV=11 and using WEP. What will be the values in the three WEP fields?b. Show that when the receiver decrypts the WEP packet, it recovers the message and the ICV.c. Suppose Trudy intercepts a WEP packet (not necessarily with the IV=11) and wants to modify it before forwarding it to the receiver. Suppose Trudy flips the first ICV bit.Assuming that Trudy does not know the keystreams for any of the IVs, what other bit(s) must Trudy also flip so that the received packet passes the ICV check?d. Justify your answer by modifying the bits in the WEP packet in part (a), decrypting the resulting packet, and verifying the integrity check.P25. Provide a filter table and a connection table for a stateful firewall that is as restrictive as possible but accomplishes the following:a. Allows all internal users to establish Telnet sessions with external hosts.b. Allows external users to surf the company Web site at 222.22.0.12.c. But otherwise blocks all inbound and outbound traffic.The internal network is 222.22/16. In your solution, suppose that the connection table iscurrently caching three connections, all from inside to outside. You’ll need to invent appropriate IP addresses and port numbers.P26. Suppose Alice wants to visit the Web site activist.com using a TOR-like service. This service uses two non-colluding proxy servers, Proxy1 and Proxy2. Alice first obtains the certificates (each containing a public key) for Proxy1 and Proxy2 from some central server. Denote K1+(),K2+(),K1−(), and K2−() for the encryption/decryption with public and private RSA keys.a. Using a timing diagram, provide a protocol (as simple as possible) that enables Alice to establish a shared session key S1 with Proxy1. Denote S1(m) for encryption/decryption of data m with the shared key S1.b. Using a timing diagram, provide a protocol (as simple as possible) that allows Alice to establish a shared session key S2 with Proxy2 without revealing her IP address to Proxy2.c. Assume now that shared keys S1 and S2 are now established. Using a timing diagram, provide a protocol (as simple as possible and not using public-key cryptography) that allows Alice to request an html page from activist.com without revealing her IP address to Proxy2 and without revealing to Proxy1 which site she is visiting. Your diagram should end with an HTTP request arriving at activist.com.Wireshark LabIn this lab (available from the book Web site), we investigate the Secure Sockets Layer (SSL) protocol.Recall from Section 8.6 that SSL is used for securing a TCP connection, and that it is extensively used in practice for secure Internet transactions. In this lab, we will focus on the SSL records sent over theTCP connection. We will attempt to delineate and classify each of the records, with a goal of understanding the why and how for each record. We investigate the various SSL record types as well as the fields in the SSL messages. We do so by analyzing a trace of the SSL records sent between your host and an e-commerce server.IPsec LabIn this lab (available from the book Web site), we will explore how to create IPsec SAs between linux boxes. You can do the first part of the lab with two ordinary linux boxes, each with one Ethernet adapter. But for the second part of the lab, you will need four linux boxes, two of which having two Ethernet adapters. In the second half of the lab, you will create IPsec SAs using the ESP protocol in the tunnel mode. You will do this by first manually creating the SAs, and then by having IKE create the SAs.AN INTERVIEW WITH…Steven M. BellovinSteven M. Bellovin joined the faculty at Columbia University after many years at the Network Services Research Lab at AT&T Labs Research in Florham Park, New Jersey. His focus is on networks, security, and why the two are incompatible. In 1995, he was awarded the Usenix Lifetime Achievement Award for his work in the creation of Usenet, the first newsgroup exchange network that linked two or more computers and allowed users to share information and join in discussions. Steve is also an elected member of the National Academy of Engineering. He received his BA from Columbia University and his PhD from the University of North Carolina at Chapel Hill. What led you to specialize in the networking security area?This is going to sound odd, but the answer is simple: It was fun. My background was in systems programming and systems administration, which leads fairly naturally to security. And I’ve always been interested in communications, ranging back to part-time systems programming jobs when I was in college.My work on security continues to be motivated by two things—a desire to keep computers useful, which means that their function can’t be corrupted by attackers, and a desire to protect privacy.What was your vision for Usenet at the time that you were developing it? And now?We originally viewed it as a way to talk about computer science and computer programming around the country, with a lot of local use for administrative matters, for-sale ads, and so on. In fact, my original prediction was one to two messages per day, from 50–100 sites at the most— ever. But the real growth was in people-related topics, including—but not limited to—human interactions with computers. My favorite newsgroups, over the years, have been things like rec.woodworking, as well as sci.crypt.To some extent, netnews has been displaced by the Web. Were I to start designing it today, it would look very different. But it still excels as a way to reach a very broad audience that is interested in the topic, without having to rely on particular Web sites.Has anyone inspired you professionally? In what ways?Professor Fred Brooks—the founder and original chair of the computer science department at the University of North Carolina at Chapel Hill, the manager of the team that developed the IBMS/360 and OS/360, and the author of The Mythical Man-Month—was a tremendous influence on my career. More than anything else, he taught outlook and trade-offs—how to look at problemsin the context of the real world (and how much messier the real world is than a theorist would like), and how to balance competing interests in designing a solution. Most computer work is engineering—the art of making the right trade-offs to satisfy many contradictory objectives.What is your vision for the future of networking and security?Thus far, much of the security we have has come from isolation. A firewall, for example, works by cutting off access to certain machines and services. But we’re in an era of increasing connectivity—it’s gotten harder to isolate things. Worse yet, our production systems require far more separate pieces, interconnected by networks. Securing all that is one of our biggest challenges. What would you say have been the greatest advances in security? How much further do we have to go?At least scientifically, we know how to do cryptography. That’s been a big help. But most security problems are due to buggy code, and that’s a much harder problem. In fact, it’s the oldest unsolved problem in computer science, and I think it will remain that way. The challenge is figuring out how to secure systems when we have to build them out of insecure components. We can already do that for reliability in the face of hardware failures; can we do the same for security?Do you have any advice for students about the Internet and networking security?Learning the mechanisms is the easy part. Learning how to “think paranoid” is harder. You have to remember that probability distributions don’t apply—the attackers can and will find improbable conditions. And the details matter—a lot.Chapter 9 Multimedia NetworkingWhile lounging in bed or riding buses and subways, people in all corners of the world are currently using the Internet to watch movies and television shows on demand. Internet movie and television distribution companies such as Netflix and Amazon in North America and Youku and Kankan in China have practically become household names. But people are not only watching Internet videos, they are using sites like YouTube to upload and distribute their own user-generated content, becoming Internet video producers as well as consumers. Moreover, network applications such as Skype, Google Talk, and WeChat (enormously popular in China) allow people to not only make “telephone calls” over the Internet, but to also enhance those calls with video and multi-person conferencing. In fact, we predict that by the end of the current decade most of the video consumption and voice conversations will take place end-to-end over the Internet, more typically to wireless devices connected to the Internet via cellular and WiFi access networks. Traditional telephony and broadcast television are quickly becoming obsolete.We begin this chapter with a taxonomy of multimedia applications in Section 9.1. We’ll see that a multimedia application can be classified as either streaming stored audio/video, conversationalvoice/video-over-IP, or streaming live audio/video. We’ll see that each of these classes of applications has its own unique service requirements that differ significantly from those of traditional elasticapplications such as e-mail, Web browsing, and remote login. In Section 9.2, we’ll examine video streaming in some detail. We’ll explore many of the underlying principles behind video streaming,including client buffering, prefetching, and adapting video quality to available bandwidth. In Section 9.3, we investigate conversational voice and video, which, unlike elastic applications, are highly sensitive toend-to-end delay but can tolerate occasional loss of data. Here we’ll examine how techniques such as adaptive playout, forward error correction, and error concealment can mitigate against network-inducedpacket loss and delay. We’ll also examine Skype as a case study. In Section 9.4, we’ll study RTP and SIP, two popular protocols for real-time conversational voice and video applications. In Section 9.5,we’ll investigate mechanisms within the network that can be used to distinguish one class of traffic (e.g., delay-sensitive applications such as conversational voice) from another (e.g., elastic applications such as browsing Web pages), and provide differentiated service among multiple classes of traffic.9.1 Multimedia Networking ApplicationsWe define a multimedia network application as any network application that employs audio or video. In this section, we provide a taxonomy of multimedia applications. We’ll see that each class of applications in the taxonomy has its own unique set of service requirements and design issues. But before diving into an in-depth discussion of Internet multimedia applications, it is useful to consider the intrinsic characteristics of the audio and video media themselves.9.1.1 Properties of VideoPerhaps the most salient characteristic of video is its high bit rate. Video distributed over the Internet typically ranges from 100 kbps for low-quality video conferencing to over 3 Mbps for streaming high- definition movies. To get a sense of how video bandwidth demands compare with those of other Internet applications, let’s briefly consider three different users, each using a different Internet application. Our first user, Frank, is going quickly through photos posted on his friends’ Facebook pages. Let’s assume that Frank is looking at a new photo every 10 seconds, and that photos are on average 200 Kbytes in size. (As usual, throughout this discussion we make the simplifying assumption that 1 Kbyte=8,000 bits.) Our second user, Martha, is streaming music from the Internet (“the cloud”) to her smartphone. Let’s assume Martha is using a service such as Spotify to listen to many MP3 songs, one after the other, each encoded at a rate of 128 kbps. Our third user, Victor, is watching a video that has been encoded at 2 Mbps. Finally, let’s suppose that the session length for all three users is 4,000 seconds (approximately67 minutes). Table 9.1 compares the bit rates and the total bytes transferred for these three users. We see that video streaming consumes by far the most bandwidth, having a bit rate of more than ten timesgreater than that of the Facebook and music-streaming applications. Therefore, when designTable 9.1 Comparison of bit-rate requirements of three Internet applications Bit rateBytes transferred in 67 min Facebook Frank160 kbps80 Mbytes Martha Music 128 kbps64 MbytesVictor Video 2 Mbps1 Gbyteing networked video applications, the first thing we must keep in mind is the high bit-rate requirements of video. Given the popularity of video and its high bit rate, it is perhaps not surprising that Cisco predicts[Cisco 2015] that streaming and stored video will be approximately 80 percent of global consumer Internet traffic by 2019.Another important characteristic of video is that it can be compressed, thereby trading off video quality with bit rate. A video is a sequence of images, typically being displayed at a constant rate, for example, at 24 or 30 images per second. An uncompressed, digitally encoded image consists of an array of pixels, with each pixel encoded into a number of bits to represent luminance and color. There are twotypes of redundancy in video, both of which can be exploited by video compression. Spatial redundancy is the redundancy within a given image. Intuitively, an image that consists of mostly whitespace has a high degree of redundancy and can be efficiently compressed without significantlysacrificing image quality. Temporal redundancy reflects repetition from image to subsequent image. If, for example, an image and the subsequent image are exactly the same, there is no reason to re-encodethe subsequent image; it is instead more efficient simply to indicate during encoding that the subsequent image is exactly the same. Today’s off-the-shelf compression algorithms can compress a video to essentially any bit rate desired. Of course, the higher the bit rate, the better the image quality and the better the overall user viewing experience.We can also use compression to create multiple versions of the same video, each at a different quality level. For example, we can use compression to create, say, three versions of the same video, at rates of 300 kbps, 1 Mbps, and 3 Mbps. Users can then decide which version they want to watch as a function of their current available bandwidth. Users with high-speed Internet connections might choose the 3 Mbps version; users watching the video over 3G with a smartphone might choose the 300 kbps version. Similarly, the video in a video conference application can be compressed “on-the-fly” to provide the best video quality given the available end-to-end bandwidth between conversing users.9.1.2 Properties of AudioDigital audio (including digitized speech and music) has significantly lower bandwidth requirements than video. Digital audio, however, has its own unique properties that must be considered when designing multimedia network applications. To understand these properties, let’s first consider how analog audio (which humans and musical instruments generate) is converted to a digital signal:The analog audio signal is sampled at some fixed rate, for example, at 8,000 samples per second. The value of each sample will be some real number.Each of the samples is then rounded to one of a finite number of values. This operation is referred to as quantization. The number of such finite values—called quantization values—is typically a powerof two, for example, 256 quantization values.Each of the quantization values is represented by a fixed number of bits. For example, if there are 256 quantization values, then each value—and hence each audio sample—is represented by onebyte. The bit representations of all the samples are then concatenated together to form the digital representation of the signal. As an example, if an analog audio signal is sampled at 8,000 samples per second and each sample is quantized and represented by 8 bits, then the resulting digital signal will have a rate of 64,000 bits per second. For playback through audio speakers, the digital signal can then be converted back—that is, decoded—to an analog signal. However, the decoded analog signal is only an approximation of the original signal, and the sound quality may be noticeably degraded (for example, high-frequency sounds may be missing in the decoded signal). By increasing the sampling rate and the number of quantization values, the decoded signal can better approximate the original analog signal. Thus (as with video), there is a trade-off between the quality of the decoded signal and the bit-rate and storage requirements of the digital signal.The basic encoding technique that we just described is called pulse code modulation (PCM). Speech encoding often uses PCM, with a sampling rate of 8,000 samples per second and 8 bits per sample, resulting in a rate of 64 kbps. The audio compact disk (CD) also uses PCM, with a sampling rate of 44,100 samples per second with 16 bits per sample; this gives a rate of 705.6 kbps for mono and 1.411 Mbps for stereo.PCM-encoded speech and music, however, are rarely used in the Internet. Instead, as with video, compression techniques are used to reduce the bit rates of the stream. Human speech can be compressed to less than 10 kbps and still be intelligible. A popular compression technique for near CD- quality stereo music is MPEG 1 layer 3, more commonly known as MP3. MP3 encoders can compress to many different rates; 128 kbps is the most common encoding rate and produces very little sound degradation. A related standard is Advanced Audio Coding (AAC), which has been popularized by Apple. As with video, multiple versions of a prerecorded audio stream can be created, each at a different bit rate.Although audio bit rates are generally much less than those of video, users are generally much more sensitive to audio glitches than video glitches. Consider, for example, a video conference taking place over the Internet. If, from time to time, the video signal is lost for a few seconds, the video conference can likely proceed without too much user frustration. If, however, the audio signal is frequently lost, the users may have to terminate the session.9.1.3 Types of Multimedia Network ApplicationsThe Internet supports a large variety of useful and entertaining multimedia applications. In this subsection, we classify multimedia applications into three broad categories: (i) streaming stored audio/video, (ii) conversational voice/video-over-IP, and (iii) streaming live audio/video. As we will soon see, each of these application categories has its own set of service requirements and design issues.Streaming Stored Audio and VideoTo keep the discussion concrete, we focus here on streaming stored video, which typically combines video and audio components. Streaming stored audio (such as Spotify’s streaming music service) is very similar to streaming stored video, although the bit rates are typically much lower.In this class of applications, the underlying medium is prerecorded video, such as a movie, a television show, a prerecorded sporting event, or a prerecorded user-generated video (such as those commonly seen on YouTube). These prerecorded videos are placed on servers, and users send requests to theservers to view the videos on demand. Many Internet companies today provide streaming video, including YouTube (Google), Netflix, Amazon, and Hulu. Streaming stored video has three keydistinguishing features.Streaming. In a streaming stored video application, the client typically begins video playout within a few seconds after it begins receiving the video from the server. This means that the client will beplaying out from one location in the video while at the same time receiving later parts of the video from the server. This technique, known as streaming, avoids having to download the entire video file (and incurring a potentially long delay) before playout begins.Interactivity. Because the media is prerecorded, the user may pause, reposition forward, reposition backward, fast-forward, and so on through the video content. The time from when the user makessuch a request until the action manifests itself at the client should be less than a few seconds for acceptable responsiveness.Continuous playout. Once playout of the video begins, it should proceed according to the original timing of the recording. Therefore, data must be received from the server in time for its playout at theclient; otherwise, users experience video frame freezing (when the client waits for the delayed frames) or frame skipping (when the client skips over delayed frames).By far, the most important performance measure for streaming video is average throughput. In order to provide continuous playout, the network must provide an average throughput to the streamingapplication that is at least as large the bit rate of the video itself. As we will see in Section 9.2, by using buffering and prefetching, it is possible to provide continuous playout even when the throughputfluctuates, as long as the average throughput (averaged over 5–10 seconds) remains above the video rate [Wang 2008].For many streaming video applications, prerecorded video is stored on, and streamed from, a CDN rather than from a single data center. There are also many P2P video streaming applications for which the video is stored on users’ hosts (peers), with different chunks of video arriving from different peers that may spread around the globe. Given the prominence of Internet video streaming, we will explorevideo streaming in some depth in Section 9.2, paying particular attention to client buffering, prefetching, adapting quality to bandwidth availability, and CDN distribution.Conversational Voice- and Video-over-IPReal-time conversational voice over the Internet is often referred to as Internet telephony, since, from the user’s perspective, it is similar to the traditional circuit-switched telephone service. It is also commonly called Voice-over-IP (VoIP). Conversational video is similar, except that it includes the video of the participants as well as their voices. Most of today’s voice and video conversational systems allow users to create conferences with three or more participants. Conversational voice and video are widely used in the Internet today, with the Internet companies Skype, QQ, and Google Talk boasting hundreds of millions of daily users.In our discussion of application service requirements in Chapter 2 (Figure 2.4), we identified a number of axes along which application requirements can be classified. Two of these axes—timingconsiderations and tolerance of data loss—are particularly important for conversational voice and video applications. Timing considerations are important because audio and video conversational applications are highly delay-sensitive. For a conversation with two or more interacting speakers, the delay from when a user speaks or moves until the action is manifested at the other end should be less than a few hundred milliseconds. For voice, delays smaller than 150 milliseconds are not perceived by a human listener, delays between 150 and 400 milliseconds can be acceptable, and delays exceeding 400 milliseconds can result in frustrating, if not completely unintelligible, voice conversations.On the other hand, conversational multimedia applications are loss-tolerant—occasional loss only causes occasional glitches in audio/video playback, and these losses can often be partially or fully concealed. These delay-sensitive but loss-tolerant characteristics are clearly different from those of elastic data applications such as Web browsing, e-mail, social networks, and remote login. For elastic applications, long delays are annoying but not particularly harmful; the completeness and integrity of the transferred data, however, are of paramount importance. We will explore conversational voice and videoin more depth in Section 9.3, paying particular attention to how adaptive playout, forward error correction, and error concealment can mitigate against network-induced packet loss and delay.Streaming Live Audio and VideoThis third class of applications is similar to traditional broadcast radio and television, except thattransmission takes place over the Internet. These applications allow a user to receive a live radio or television transmission—such as a live sporting event or an ongoing news event—transmitted from anycorner of the world. Today, thousands of radio and television stations around the world are broadcasting content over the Internet.Live, broadcast-like applications often have many users who receive the same audio/video program atthe same time. In the Internet today, this is typically done with CDNs (Section 2.6). As with streaming stored multimedia, the network must provide each live multimedia flow with an average throughput thatis larger than the video consumption rate. Because the event is live, delay can also be an issue, although the timing constraints are much less stringent than those for conversational voice. Delays of up to ten seconds or so from when the user chooses to view a live transmission to when playout begins can be tolerated. We will not cover streaming live media in this book because many of the techniques used for streaming live media—initial buffering delay, adaptive bandwidth use, and CDN distribution—are similar to those for streaming stored media. 9.2 Streaming Stored VideoFor streaming video applications, prerecorded videos are placed on servers, and users send requests to these servers to view the videos on demand. The user may watch the video from beginning to end without interruption, may stop watching the video well before it ends, or interact with the video by pausing or repositioning to a future or past scene. Streaming video systems can be classified into three categories: UDP streaming, HTTP streaming, and adaptive HTTP streaming (see Section 2.6). Although all three types of systems are used in practice, the majority of today’s systems employ HTTP streaming and adaptive HTTP streaming.A common characteristic of all three forms of video streaming is the extensive use of client-side application buffering to mitigate the effects of varying end-to-end delays and varying amounts of available bandwidth between server and client. For streaming video (both stored and live), users generally can tolerate a small several-second initial delay between when the client requests a video and when video playout begins at the client. Consequently, when the video starts to arrive at the client, the client need not immediately begin playout, but can instead build up a reserve of video in an application buffer. Once the client has built up a reserve of several seconds of buffered-but-not-yet-played video, the client can then begin video playout. There are two important advantages provided by such client buffering. First, client-side buffering can absorb variations in server-to-client delay. If a particular piece of video data is delayed, as long as it arrives before the reserve of received-but-not-yet-played video is exhausted, this long delay will not be noticed. Second, if the server-to-client bandwidth briefly drops below the video consumption rate, a user can continue to enjoy continuous playback, again as long as the client application buffer does not become completely drained.Figure 9.1 illustrates client-side buffering. In this simple example, suppose that video is encoded at a fixed bit rate, and thus each video block contains video frames that are to be played out over the samefixed amount of time, Δ. The server transmits the first video block at t0, the second block at t0+Δ, the third block at t0+2Δ, and so on. Once the client begins playout, each block should be played out Δ time units after the previous block in order to reproduce the timing of the original recorded video. Because of the variable end-to-end network delays, different video blocks experience different delays. The firstvideo block arrives at the client at t1 and the second block arrives at t2. The network delay for the ith block is the horizontal distance between the time the block was transmitted by the server and the time it is received at the client; note that the network delay varies from one video block to another. In thisexample, if the client were to begin playout as soon as the first block arrived at t1, then the second block would not have arrived in time to be played out at out at t1+Δ. In this case, video playout would either have to stall (waiting for block 2 to arrive) or block 2 could be skipped—both resulting in undesirableplayout impairments. Instead, if the client were to delay the start of playout until t3, when blocks 1 through 6 have all arrived, periodic playout can proceed with all blocks having been received beforetheir playout time.Figure 9.1 Client playout delay in video streaming9.2.1 UDP StreamingWe only briefly discuss UDP streaming here, referring the reader to more in-depth discussions of the protocols behind these systems where appropriate. With UDP streaming, the server transmits video at a rate that matches the client’s video consumption rate by clocking out the video chunks over UDP at a steady rate. For example, if the video consumption rate is 2 Mbps and each UDP packet carries 8,000 bits of video, then the server would transmit one UDP packet into its socket every(8000 bits)/(2 Mbps)=4 msec. As we learned in Chapter 3, because UDP does not employ a congestion-control mechanism, the server can push packets into the network at the consumption rate ofthe video without the rate-control restrictions of TCP. UDP streaming typically uses a small client-side buffer, big enough to hold less than a second of video.Before passing the video chunks to UDP, the server will encapsulate the video chunks within transport packets specially designed for transporting audio and video, using the Real-Time Transport Protocol(RTP) [RFC 3550] or a similar (possibly proprietary) scheme. We delay our coverage of RTP until Section 9.3, where we discuss RTP in the context of conversational voice and video systems.Another distinguishing property of UDP streaming is that in addition to the server-to-client video stream, the client and server also maintain, in parallel, a separate control connection over which the client sends commands regarding session state changes (such as pause, resume, reposition, and so on). The Real- Time Streaming Protocol (RTSP) [RFC 2326], explained in some detail in the Web site for this textbook, is a popular open protocol for such a control connection.Although UDP streaming has been employed in many open-source systems and proprietary products, it suffers from three significant drawbacks. First, due to the unpredictable and varying amount of available bandwidth between server and client, constant-rate UDP streaming can fail to provide continuous playout. For example, consider the scenario where the video consumption rate is 1 Mbps and the server-to-client available bandwidth is usually more than 1 Mbps, but every few minutes the available bandwidth drops below 1 Mbps for several seconds. In such a scenario, a UDP streaming system that transmits video at a constant rate of 1 Mbps over RTP/UDP would likely provide a poor user experience, with freezing or skipped frames soon after the available bandwidth falls below 1 Mbps. The second drawback of UDP streaming is that it requires a media control server, such as an RTSP server, to process client-to-server interactivity requests and to track client state (e.g., the client’s playout point inthe video, whether the video is being paused or played, and so on) for each ongoing client session. This increases the overall cost and complexity of deploying a large-scale video-on-demand system. The thirddrawback is that many firewalls are configured to block UDP traffic, preventing the users behind these firewalls from receiving UDP video.9.2.2 HTTP StreamingIn HTTP streaming, the video is simply stored in an HTTP server as an ordinary file with a specific URL. When a user wants to see the video, the client establishes a TCP connection with the server and issues an HTTP GET request for that URL. The server then sends the video file, within an HTTP response message, as quickly as possible, that is, as quickly as TCP congestion control and flow control will allow. On the client side, the bytes are collected in a client application buffer. Once the number of bytes in this buffer exceeds a predetermined threshold, the client application begins playback—specifically, it periodically grabs video frames from the client application buffer, decompresses the frames, and displays them on the user’s screen.We learned in Chapter 3 that when transferring a file over TCP, the server-to-client transmission rate can vary significantly due to TCP’s congestion control mechanism. In particular, it is not uncommon forthe transmission rate to vary in a “saw-tooth” manner associated with TCP congestion control. Furthermore, packets can also be significantly delayed due to TCP’s retransmission mechanism. Because of these characteristics of TCP, the conventional wisdom in the 1990s was that video streaming would never work well over TCP. Over time, however, designers of streaming video systems learned that TCP’s congestion control and reliable-data transfer mechanisms do not necessarily preclude continuous playout when client buffering and prefetching (discussed in the next section) are used.The use of HTTP over TCP also allows the video to traverse firewalls and NATs more easily (which are often configured to block most UDP traffic but to allow most HTTP traffic). Streaming over HTTP also obviates the need for a media control server, such as an RTSP server, reducing the cost of a large- scale deployment over the Internet. Due to all of these advantages, most video streaming applications today—including YouTube and Netflix—use HTTP streaming (over TCP) as its underlying streaming protocol.Prefetching VideoAs we just learned, client-side buffering can be used to mitigate the effects of varying end-to-end delaysand varying available bandwidth. In our earlier example in Figure 9.1, the server transmits video at therate at which the video is to be played out. However, for streaming stored video, the client can attemptto download the video at a rate higher than the consumption rate, thereby prefetching video frames that are to be consumed in the future. This prefetched video is naturally stored in the client application buffer.Such prefetching occurs naturally with TCP streaming, since TCP’s congestion avoidance mechanism will attempt to use all of the available bandwidth between server and client.To gain some insight into prefetching, let’s take a look at a simple example. Suppose the video consumption rate is 1 Mbps but the network is capable of delivering the video from server to client at a constant rate of 1.5 Mbps. Then the client will not only be able to play out the video with a very small playout delay, but will also be able to increase the amount of buffered video data by 500 Kbits every second. In this manner, if in the future the client receives data at a rate of less than 1 Mbps for a brief period of time, the client will be able to continue to provide continuous playback due to the reserve in itsbuffer. [Wang 2008] shows that when the average TCP throughput is roughly twice the media bit rate, streaming over TCP results in minimal starvation and low buffering delays.Client Application Buffer and TCP BuffersFigure 9.2 illustrates the interaction between client and server for HTTP streaming. At the server side, the portion of the video file in white has already been sent into the server’s socket, while the darkenedportion is what remains to be sent. After “passing through the socket door,” the bytes are placed in theTCP send buffer before being transmitted into the Internet, as described in Chapter 3. In Figure 9.2, because the TCP send buffer at the server side is shown to be full, the server is momentarily preventedfrom sending more bytes from the video file into the socket. On the client side, the client application (media player) reads bytes from the TCP receive buffer (through its client socket) and places the bytes into the client application buffer. At the same time, the client application periodically grabs video frames from the client application buffer, decompresses the frames, and displays them on the user’s screen. Note that if the client application buffer is larger than the video file, then the whole process of moving bytes from the server’s storage to the client’s application buffer is equivalent to an ordinary file download over HTTP—the client simply pulls the video off the server as fast as TCP will allow! Figure 9.2 Streaming stored video over HTTP/TCPConsider now what happens when the user pauses the video during the streaming process. During the pause period, bits are not removed from the client application buffer, even though bits continue to enter the buffer from the server. If the client application buffer is finite, it may eventually become full, which will cause “back pressure” all the way back to the server. Specifically, once the client application buffer becomes full, bytes can no longer be removed from the client TCP receive buffer, so it too becomes full. Once the client receive TCP buffer becomes full, bytes can no longer be removed from the server TCP send buffer, so it also becomes full. Once the TCP becomes full, the server cannot send any more bytes into the socket. Thus, if the user pauses the video, the server may be forced to stop transmitting, in which case the server will be blocked until the user resumes the video.In fact, even during regular playback (that is, without pausing), if the client application buffer becomes full, back pressure will cause the TCP buffers to become full, which will force the server to reduce itsrate. To determine the resulting rate, note that when the client application removes f bits, it creates room for f bits in the client application buffer, which in turn allows the server to send f additional bits. Thus, the server send rate can be no higher than the video consumption rate at the client. Therefore, a full client application buffer indirectly imposes a limit on the rate that video can be sent from server to client when streaming over HTTP.Analysis of Video StreamingSome simple modeling will provide more insight into initial playout delay and freezing due to application buffer depletion. As shown in Figure 9.3, let B denote the sizeFigure 9.3 Analysis of client-side buffering for video streaming(in bits) of the client’s application buffer, and let Q denote the number of bits that must be buffered before the client application begins playout. (Of course, Q
Early Termination and Repositioning the Video
HTTP streaming systems often make use of the HTTP byte-range header in the HTTP GET request message, which specifies the specific range of bytes the client currently wants to retrieve from the desired video. This is particularly useful when the user wants to reposition (that is, jump) to a future point in time in the video. When the user repositions to a new position, the client sends a new HTTP request, indicating with the byte-range header from which byte in the file should the server send data. When the server receives the new HTTP request, it can forget about any earlier request and instead send bytes beginning with the byte indicated in the byte-range request.
While we are on the subject of repositioning, we briefly mention that when a user repositions to a future point in the video or terminates the video early, some prefetched-but-not-yet-viewed data transmitted by the server will go unwatched—a waste of network bandwidth and server resources. For example,
suppose that the client buffer is full with B bits at some time t0 into the video, and at this time the user repositions to some instant t>t0+B/r into the video, and then watches the video to completion from that
point on. In this case, all B bits in the buffer will be unwatched and the bandwidth and server resources that were used to transmit those B bits have been completely wasted. There is significant wasted
bandwidth in the Internet due to early termination, which can be quite costly, particularly for wireless
links [Ihm 2011]. For this reason, many streaming systems use only a moderate-size client application buffer, or will limit the amount of prefetched video using the byte-range header in HTTP requests [Rao 2011].
Repositioning and early termination are analogous to cooking a large meal, eating only a portion of it, and throwing the rest away, thereby wasting food. So the next time your parents criticize you for wasting food by not eating all your dinner, you can quickly retort by saying they are wasting bandwidth and server resources when they reposition while watching movies over the Internet! But, of course, two wrongs do not make a right—both food and bandwidth are not to be wasted!
In Sections 9.2.1 and 9.2.2, we covered UDP streaming and HTTP streaming, respectively. A third type of streaming is Dynamic Adaptive Streaming over HTTP (DASH), which uses multiple versions of the
video, each compressed at a different rate. DASH is discussed in detail in Section 2.6.2. CDNs are often used to distribute stored and live video. CDNs are discussed in detail in Section 2.6.3.
9.3 Voice-over-IP
Real-time conversational voice over the Internet is often referred to as Internet telephony, since, from the user’s perspective, it is similar to the traditional circuit-switched telephone service. It is also commonly called Voice-over-IP (VoIP). In this section we describe the principles and protocols underlying VoIP. Conversational video is similar in many respects to VoIP, except that it includes the video of the participants as well as their voices. To keep the discussion focused and concrete, we focus here only on voice in this section rather than combined voice and video.
9.3.1 Limitations of the Best-Effort IP Service
The Internet’s network-layer protocol, IP, provides best-effort service. That is to say the service makes its best effort to move each datagram from source to destination as quickly as possible but makes no promises whatsoever about getting the packet to the destination within some delay bound or about a limit on the percentage of packets lost. The lack of such guarantees poses significant challenges to the design of real-time conversational applications, which are acutely sensitive to packet delay, jitter, and loss.
In this section, we’ll cover several ways in which the performance of VoIP over a best-effort network can be enhanced. Our focus will be on application-layer techniques, that is, approaches that do not require any changes in the network core or even in the transport layer at the end hosts. To keep the discussion concrete, we’ll discuss the limitations of best-effort IP service in the context of a specific VoIP example. The sender generates bytes at a rate of 8,000 bytes per second; every 20 msecs the sender gathers these bytes into a chunk. A chunk and a special header (discussed below) are encapsulated in a UDP segment, via a call to the socket interface. Thus, the number of bytes in a chunk is
(20 msecs)⋅(8,000 bytes/sec)=160 bytes, and a UDP segment is sent every 20 msecs.
If each packet makes it to the receiver with a constant end-to-end delay, then packets arrive at the receiver periodically every 20 msecs. In these ideal conditions, the receiver can simply play back each chunk as soon as it arrives. But unfortunately, some packets can be lost and most packets will not have the same end-to-end delay, even in a lightly congested Internet. For this reason, the receiver must take more care in determining (1) when to play back a chunk, and (2) what to do with a missing chunk.
Packet Loss
Consider one of the UDP segments generated by our VoIP application. The UDP segment is encapsulated in an IP datagram. As the datagram wanders through the network, it passes through router buffers (that is, queues) while waiting for transmission on outbound links. It is possible that one or more of the buffers in the path from sender to receiver is full, in which case the arriving IP datagram may be discarded, never to arrive at the receiving application.
Loss could be eliminated by sending the packets over TCP (which provides for reliable data transfer) rather than over UDP. However, retransmission mechanisms are often considered unacceptable for conversational real-time audio applications such as VoIP, because they increase end-to-end delay
[Bolot 1996]. Furthermore, due to TCP congestion control, packet loss may result in a reduction of the TCP sender’s transmission rate to a rate that is lower than the receiver’s drain rate, possibly leading to
buffer starvation. This can have a severe impact on voice intelligibility at the receiver. For these reasons,
most existing VoIP applications run over UDP by default. [Baset 2006] reports that UDP is used by Skype unless a user is behind a NAT or firewall that blocks UDP segments (in which case TCP is used).
But losing packets is not necessarily as disastrous as one might think. Indeed, packet loss rates between 1 and 20 percent can be tolerated, depending on how voice is encoded and transmitted, and on how the loss is concealed at the receiver. For example, forward error correction (FEC) can help conceal packet loss. We’ll see below that with FEC, redundant information is transmitted along with the original information so that some of the lost original data can be recovered from the redundant information. Nevertheless, if one or more of the links between sender and receiver is severely congested, and packet loss exceeds 10 to 20 percent (for example, on a wireless link), then there is really nothing that can be done to achieve acceptable audio quality. Clearly, best-effort service has its limitations.
End-to-End Delay
End-to-end delay is the accumulation of transmission, processing, and queuing delays in routers; propagation delays in links; and end-system processing delays. For real-time conversational applications, such as VoIP, end-to-end delays smaller than 150 msecs are not perceived by a human listener; delays between 150 and 400 msecs can be acceptable but are not ideal; and delays exceeding 400 msecs can seriously hinder the interactivity in voice conversations. The receiving side of a VoIP application will typically disregard any packets that are delayed more than a certain threshold, for example, more than 400 msecs. Thus, packets that are delayed by more than the threshold are effectively lost.
Packet Jitter
A crucial component of end-to-end delay is the varying queuing delays that a packet experiences in the network’s routers. Because of these varying delays, the time from when a packet is generated at the
source until it is received at the receiver can fluctuate from packet to packet, as shown in Figure 9.1. This phenomenon is called jitter. As an example, consider two consecutive packets in our VoIP
application. The sender sends the second packet 20 msecs after sending the first packet. But at the receiver, the spacing between these packets can become greater than 20 msecs. To see this, suppose the first packet arrives at a nearly empty queue at a router, but just before the second packet arrives at the queue a large number of packets from other sources arrive at the same queue. Because the first packet experiences a small queuing delay and the second packet suffers a large queuing delay at this router, the first and second packets become spaced by more than 20 msecs. The spacing between consecutive packets can also become less than 20 msecs. To see this, again consider two consecutive packets. Suppose the first packet joins the end of a queue with a large number of packets, and the second packet arrives at the queue before this first packet is transmitted and before any packets from other sources arrive at the queue. In this case, our two packets find themselves one right after the other in the queue. If the time it takes to transmit a packet on the router’s outbound link is less than 20 msecs, then the spacing between first and second packets becomes less than 20 msecs.
The situation is analogous to driving cars on roads. Suppose you and your friend are each driving in your own cars from San Diego to Phoenix. Suppose you and your friend have similar driving styles, and that you both drive at 100 km/hour, traffic permitting. If your friend starts out one hour before you, depending on intervening traffic, you may arrive at Phoenix more or less than one hour after your friend.
If the receiver ignores the presence of jitter and plays out chunks as soon as they arrive, then the resulting audio quality can easily become unintelligible at the receiver. Fortunately, jitter can often be removed by using sequence numbers, timestamps, and a playout delay, as discussed below.
9.3.2 Removing Jitter at the Receiver for Audio
For our VoIP application, where packets are being generated periodically, the receiver should attempt to provide periodic playout of voice chunks in the presence of random network jitter. This is typically done by combining the following two mechanisms:
Prepending each chunk with a timestamp. The sender stamps each chunk with the time at which the chunk was generated.
Delaying playout of chunks at the receiver. As we saw in our earlier discussion of Figure 9.1, the playout delay of the received audio chunks must be long enough so that most of the packets are
received before their scheduled playout times. This playout delay can either be fixed throughout the duration of the audio session or vary adaptively during the audio session lifetime.
We now discuss how these three mechanisms, when combined, can alleviate or even eliminate the effects of jitter. We examine two playback strategies: fixed playout delay and adaptive playout delay.
Fixed Playout Delay
With the fixed-delay strategy, the receiver attempts to play out each chunk exactly q msecs after the chunk is generated. So if a chunk is timestamped at the sender at time t, the receiver plays out the
chunk at time t+q, assuming the chunk has arrived by that time. Packets that arrive after their scheduled playout times are discarded and considered lost.
What is a good choice for q? VoIP can support delays up to about 400 msecs, although a more satisfying conversational experience is achieved with smaller values of q. On the other hand, if q is
made much smaller than 400 msecs, then many packets may miss their scheduled playback times due to the network-induced packet jitter. Roughly speaking, if large variations in end-to-end delay are typical,
it is preferable to use a large q; on the other hand, if delay is small and variations in delay are also small, it is preferable to use a small q, perhaps less than 150 msecs.
The trade-off between the playback delay and packet loss is illustrated in Figure 9.4. The figure shows the times at which packets are generated and played
Figure 9.4 Packet loss for different fixed playout delays
out for a single talk spurt. Two distinct initial playout delays are considered. As shown by the leftmost staircase, the sender generates packets at regular intervals—say, every 20 msecs. The first packet in
this talk spurt is received at time r. As shown in the figure, the arrivals of subsequent packets are not evenly spaced due to the network jitter.
For the first playout schedule, the fixed initial playout delay is set to p−r. With this schedule, the fourth
packet does not arrive by its scheduled playout time, and the receiver considers it lost. For the second playout schedule, the fixed initial playout delay is set to p′−r. For this schedule, all packets arrive before their scheduled playout times, and there is therefore no loss.
Adaptive Playout Delay
The previous example demonstrates an important delay-loss trade-off that arises when designing a playout strategy with fixed playout delays. By making the initial playout delay large, most packets will make their deadlines and there will therefore be negligible loss; however, for conversational services such as VoIP, long delays can become bothersome if not intolerable. Ideally, we would like the playout delay to be minimized subject to the constraint that the loss be below a few percent.
The natural way to deal with this trade-off is to estimate the network delay and the variance of the network delay, and to adjust the playout delay accordingly at the beginning of each talk spurt. This adaptive adjustment of playout delays at the beginning of the talk spurts will cause the sender’s silent periods to be compressed and elongated; however, compression and elongation of silence by a small amount is not noticeable in speech.
Following [Ramjee 1994], we now describe a generic algorithm that the receiver can use to adaptively adjust its playout delays. To this end, let
ti= the timestamp of the ith packet = the time the packet was generated by the sender ri= the time packet i is received by receiver
pi= the time packet i is played at receiver
The end-to-end network delay of the ith packet is ri−ti. Due to network jitter, this delay will vary from packet to packet. Let di denote an estimate of the average network delay upon reception of the ith packet. This estimate is constructed from the timestamps as follows:
di=(1−u)di−1+u(ri−ti)
where u is a fixed constant (for example, u=0.01). Thus di is a smoothed average of the observed network delays r1−t1,…,ri−ti. The estimate places more weight on the recently observed network delays than on the observed network delays of the distant past. This form of estimate should not be completely
unfamiliar; a similar idea is used to estimate round-trip times in TCP, as discussed in Chapter 3. Let vi denote an estimate of the average deviation of the delay from the estimated average delay. This estimate is also constructed from the timestamps:
vi=(1−u)vi−1+u| ri−ti−di|
The estimates di and vi are calculated for every packet received, although they are used only to determine the playout point for the first packet in any talk spurt.
Once having calculated these estimates, the receiver employs the following algorithm for the playout of packets. If packet i is the first packet of a talk spurt, its playout time, pi, is computed as:
pi=ti+di+Kvi
where K is a positive constant (for example, K=4). The purpose of the Kvi term is to set the playout time far enough into the future so that only a small fraction of the arriving packets in the talk spurt will be lost due to late arrivals. The playout point for any subsequent packet in a talk spurt is computed as an offset from the point in time when the first packet in the talk spurt was played out. In particular, let
qi=pi−ti
be the length of time from when the first packet in the talk spurt is generated until it is played out. If
packet j also belongs to this talk spurt, it is played out at time pj=tj+qi
The algorithm just described makes perfect sense assuming that the receiver can tell whether a packet is the first packet in the talk spurt. This can be done by examining the signal energy in each received packet.
9.3.3 Recovering from Packet Loss
We have discussed in some detail how a VoIP application can deal with packet jitter. We now briefly describe several schemes that attempt to preserve acceptable audio quality in the presence of packet loss. Such schemes are called loss recovery schemes. Here we define packet loss in a broad sense: A packet is lost either if it never arrives at the receiver or if it arrives after its scheduled playout time. Our VoIP example will again serve as a context for describing loss recovery schemes.
As mentioned at the beginning of this section, retransmitting lost packets may not be feasible in a real- time conversational application such as VoIP. Indeed, retransmitting a packet that has missed its playout deadline serves absolutely no purpose. And retransmitting a packet that overflowed a router queue cannot normally be accomplished quickly enough. Because of these considerations, VoIP applications often use some type of loss anticipation scheme. Two types of loss anticipation schemes are forward error correction (FEC) and interleaving.
Forward Error Correction (FEC)
The basic idea of FEC is to add redundant information to the original packet stream. For the cost of marginally increasing the transmission rate, the redundant information can be used to reconstruct
approximations or exact versions of some of the lost packets. Following [Bolot 1996] and [Perkins
1998], we now outline two simple FEC mechanisms. The first mechanism sends a redundant encoded
chunk after every n chunks. The redundant chunk is obtained by exclusive OR-ing the n original chunks
[Shacham 1990]. In this manner if any one packet of the group of n+1 packets is lost, the receiver can fully reconstruct the lost packet. But if two or more packets in a group are lost, the receiver cannot
reconstruct the lost packets. By keeping n+1, the group size, small, a large fraction of the lost packets can be recovered when loss is not excessive. However, the smaller the group size, the greater the
relative increase of the transmission rate. In particular, the transmission rate increases by a factor of 1/n, so that, if n=3, then the transmission rate increases by 33 percent. Furthermore, this simple scheme
increases the playout delay, as the receiver must wait to receive the entire group of packets before it can begin playout. For more practical details about how FEC works for multimedia transport see [RFC
5109].
The second FEC mechanism is to send a lower-resolution audio stream as the redundant information. For example, the sender might create a nominal audio stream and a corresponding low-resolution, low- bit rate audio stream. (The nominal stream could be a PCM encoding at 64 kbps, and the lower-quality stream could be a GSM encoding at 13 kbps.) The low-bit rate stream is referred to as the redundant
stream. As shown in Figure 9.5, the sender constructs the nth packet by taking the nth chunk from the nominal stream and appending to it the (n−1)st chunk from the redundant stream. In this manner,
whenever there is nonconsecutive packet loss, the receiver can conceal the loss by playing out the low- bit rate encoded chunk that arrives with the subsequent packet. Of course, low-bit rate chunks give lower quality than the nominal chunks. However, a stream of mostly high-quality chunks, occasional low- quality chunks, and no missing chunks gives good overall audio quality. Note that in this scheme, the receiver only has to receive two packets before playback, so that the increased playout delay is small. Furthermore, if the low-bit rate encoding is much less than the nominal encoding, then the marginal increase in the transmission rate will be small.
In order to cope with consecutive loss, we can use a simple variation. Instead of appending just the
(n−1)st low-bit rate chunk to the nth nominal chunk, the sender can append the (n−1)st and (n−2)nd low- bit rate chunk, or append the (n−1)st and (n−3)rd low-bit rate chunk, and so on. By appending more low-
bit rate chunks to each nominal chunk, the audio quality at the receiver becomes acceptable for a wider variety of harsh best-effort environments. On the other hand, the additional chunks increase the transmission bandwidth and the playout delay.
Figure 9.5 Piggybacking lower-quality redundant information
Interleaving
As an alternative to redundant transmission, a VoIP application can send interleaved audio. As shown in
Figure 9.6, the sender resequences units of audio data before transmission, so that originally adjacent units are separated by a certain distance in the transmitted stream. Interleaving can mitigate the effect
of packet losses. If, for example, units are 5 msecs in length and chunks are 20 msecs (that is, four units per chunk), then the first chunk could contain units 1, 5, 9, and 13; the second chunk could contain units
2, 6, 10, and 14; and so on. Figure 9.6 shows that the loss of a single packet from an interleaved stream results in multiple small gaps in the reconstructed stream, as opposed to the single large gap
that would occur in a noninterleaved stream.
Interleaving can significantly improve the perceived quality of an audio stream [Perkins 1998]. It also has low overhead. The obvious disadvantage of interleaving is that it increases latency. This limits its
use for conversational applications such as VoIP, although it can perform well for streaming stored audio. A major advantage of interleaving is that it does not increase the bandwidth requirements of a stream.
Error Concealment
Error concealment schemes attempt to produce a replacement for a lost packet that is similar to the original. As discussed in [Perkins 1998], this is possible since audio
Figure 9.6 Sending interleaved audio
signals, and in particular speech, exhibit large amounts of short-term self-similarity. As such, these techniques work for relatively small loss rates (less than 15 percent), and for small packets (4–40 msecs). When the loss length approaches the length of a phoneme (5–100 msecs) these techniques break down, since whole phonemes may be missed by the listener.
Perhaps the simplest form of receiver-based recovery is packet repetition. Packet repetition replaces lost packets with copies of the packets that arrived immediately before the loss. It has low computational complexity and performs reasonably well. Another form of receiver-based recovery is interpolation, which uses audio before and after the loss to interpolate a suitable packet to cover the loss. Interpolation performs somewhat better than packet repetition but is significantly more computationally
intensive [Perkins 1998].
9.3.4 Case Study: VoIP with Skype
Skype is an immensely popular VoIP application with over 50 million accounts active on a daily basis. In addition to providing host-to-host VoIP service, Skype offers host-to-phone services, phone-to-host services, and multi-party host-to-host video conferencing services. (Here, a host is again any Internet connected IP device, including PCs, tablets, and smartphones.) Skype was acquired by Microsoft in 2011.
Because the Skype protocol is proprietary, and because all Skype’s control and media packets are encrypted, it is difficult to precisely determine how Skype operates. Nevertheless, from the Skype Web
site and several measurement studies, researchers have learned how Skype generally works [Baset 2006; Guha 2006; Chen 2006; Suh 2006; Ren 2006; Zhang X 2012]. For both voice and video, the
Skype clients have at their disposal many different codecs, which are capable of encoding the media at a wide range of rates and qualities. For example, video rates for Skype have been measured to be as low as 30 kbps for a low-quality session up to almost 1 Mbps for a high quality session [Zhang X 2012]. Typically, Skype’s audio quality is better than the “POTS” (Plain Old Telephone Service) quality provided by the wire-line phone system. (Skype codecs typically sample voice at 16,000 samples/sec or higher, which provides richer tones than POTS, which samples at 8,000/sec.) By default, Skype sends audio and video packets over UDP. However, control packets are sent over TCP, and media packets are also sent over TCP when firewalls block UDP streams. Skype uses FEC for loss recovery for both voice and video streams sent over UDP. The Skype client also adapts the audio and video streams it sends to current network conditions, by changing video quality and FEC overhead [Zhang X 2012].
Skype uses P2P techniques in a number of innovative ways, nicely illustrating how P2P can be used in applications that go beyond content distribution and file sharing. As with instant messaging, host-to-host Internet telephony is inherently P2P since, at the heart of the application, pairs of users (that is, peers) communicate with each other in real time. But Skype also employs P2P techniques for two other important functions, namely, for user location and for NAT traversal.
Figure 9.7 Skype peers
As shown in Figure 9.7, the peers (hosts) in Skype are organized into a hierarchical overlay network, with each peer classified as a super peer or an ordinary peer. Skype maintains an index that maps
Skype usernames to current IP addresses (and port numbers). This index is distributed over the super peers. When Alice wants to call Bob, her Skype client searches the distributed index to determine Bob’s current IP address. Because the Skype protocol is proprietary, it is currently not known how the index mappings are organized across the super peers, although some form of DHT organization is very possible.
P2P techniques are also used in Skype relays, which are useful for establishing calls between hosts in home networks. Many home network configurations provide access to the Internet through NATs, as
discussed in Chapter 4. Recall that a NAT prevents a host from outside the home network from initiating a connection to a host within the home network. If both Skype callers have NATs, then there is a
problem—neither can accept a call initiated by the other, making a call seemingly impossible. The clever use of super peers and relays nicely solves this problem. Suppose that when Alice signs in, she is assigned to a non-NATed super peer and initiates a session to that super peer. (Since Alice is initiating the session, her NAT permits this session.) This session allows Alice and her super peer to exchange control messages. The same happens for Bob when he signs in. Now, when Alice wants to call Bob, she informs her super peer, who in turn informs Bob’s super peer, who in turn informs Bob of Alice’s incoming call. If Bob accepts the call, the two super peers select a third non-NATed super peer—the relay peer—whose job will be to relay data between Alice and Bob. Alice’s and Bob’s super peers then
instruct Alice and Bob respectively to initiate a session with the relay. As shown in Figure 9.7, Alice then sends voice packets to the relay over the Alice-to-relay connection (which was initiated by Alice), and
the relay then forwards these packets over the relay-to-Bob connection (which was initiated by Bob);
packets from Bob to Alice flow over these same two relay connections in reverse. And voila!—Bob and Alice have an end-to-end connection even though neither can accept a session originating from outside.
Up to now, our discussion on Skype has focused on calls involving two persons. Now let’s examine multi-party audio conference calls. With N>2 participants, if each user were to send a copy of its audio stream to each of the N−1 other users, then a total of N(N−1) audio streams would need to be sent into the network to support the audio conference. To reduce this bandwidth usage, Skype employs a clever distribution technique. Specifically, each user sends its audio stream to the conference initiator. The conference initiator combines the audio streams into one stream (basically by adding all the audio signals together) and then sends a copy of each combined stream to each of the other N−1 participants. In this manner, the number of streams is reduced to 2(N−1). For ordinary two-person video conversations, Skype routes the call peer-to-peer, unless NAT traversal is required, in which case the call is relayed through a non-NATed peer, as described earlier. For a video conference call involving N>2 participants, due to the nature of the video medium, Skype does not combine the call into one
stream at one location and then redistribute the stream to all the participants, as it does for voice calls. Instead, each participant’s video stream is routed to a server cluster (located in Estonia as of 2011), which in turn relays to each participant the N−1 streams of the N−1 other participants [Zhang X 2012]. You may be wondering why each participant sends a copy to a server rather than directly sending a copy of its video stream to each of the other N−1 participants? Indeed, for both approaches, N(N−1)
video streams are being collectively received by the N participants in the conference. The reason is, because upstream link bandwidths are significantly lower than downstream link bandwidths in most
access links, the upstream links may not be able to support the N−1 streams with the P2P approach.
VoIP systems such as Skype, WeChat, and Google Talk introduce new privacy concerns. Specifically, when Alice and Bob communicate over VoIP, Alice can sniff Bob’s IP address and then use geo-location
services [MaxMind 2016; Quova 2016] to determine Bob’s current location and ISP (for example, his work or home ISP). In fact, with Skype it is possible for Alice to block the transmission of certain packets
during call establishment so that she obtains Bob’s current IP address, say every hour, without Bob knowing that he is being tracked and without being on Bob’s contact list. Furthermore, the IP address discovered from Skype can be correlated with IP addresses found in BitTorrent, so that Alice can
determine the files that Bob is downloading [LeBlond 2011]. Moreover, it is possible to partially decrypt a Skype call by doing a traffic analysis of the packet sizes in a stream [White 2011].
9.4 Protocols for Real-Time Conversational Applications
Real-time conversational applications, including VoIP and video conferencing, are compelling and very popular. It is therefore not surprising that standards bodies, such as the IETF and ITU, have been busy for many years (and continue to be busy!) at hammering out standards for this class of applications. With the appropriate standards in place for real-time conversational applications, independent companies are creating new products that interoperate with each other. In this section we examine RTP and SIP for real-time conversational applications. Both standards are enjoying widespread implementation in industry products.
9.4.1 RTP
In the previous section, we learned that the sender side of a VoIP application appends header fields to the audio chunks before passing them to the transport layer. These header fields include sequence numbers and timestamps. Since most multimedia networking applications can make use of sequence numbers and timestamps, it is convenient to have a standardized packet structure that includes fields for audio/video data, sequence number, and timestamp, as well as other potentially useful fields. RTP, defined in RFC 3550, is such a standard. RTP can be used for transporting common formats such as PCM, ACC, and MP3 for sound and MPEG and H.263 for video. It can also be used for transporting proprietary sound and video formats. Today, RTP enjoys widespread implementation in many products and research prototypes. It is also complementary to other important real-time interactive protocols, such as SIP.
In this section, we provide an introduction to RTP. We also encourage you to visit Henning Schulzrinne’s
RTP site [Schulzrinne-RTP 2012], which provides a wealth of information on the subject. Also, you may want to visit the RAT site [RAT 2012], which documents VoIP application that uses RTP.
RTP Basics
RTP typically runs on top of UDP. The sending side encapsulates a media chunk within an RTP packet, then encapsulates the packet in a UDP segment, and then hands the segment to IP. The receiving side extracts the RTP packet from the UDP segment, then extracts the media chunk from the RTP packet, and then passes the chunk to the media player for decoding and rendering.
As an example, consider the use of RTP to transport voice. Suppose the voice source is PCM-encoded
(that is, sampled, quantized, and digitized) at 64 kbps. Further suppose that the application collects the encoded data in 20-msec chunks, that is, 160 bytes in a chunk. The sending side precedes each chunk of the audio data with an RTP header that includes the type of audio encoding, a sequence number, and a timestamp. The RTP header is normally 12 bytes. The audio chunk along with the RTP header form the RTP packet. The RTP packet is then sent into the UDP socket interface. At the receiver side, the application receives the RTP packet from its socket interface. The application extracts the audio chunk from the RTP packet and uses the header fields of the RTP packet to properly decode and play back the audio chunk.
If an application incorporates RTP—instead of a proprietary scheme to provide payload type, sequence numbers, or timestamps—then the application will more easily interoperate with other networked multimedia applications. For example, if two different companies develop VoIP software and they both incorporate RTP into their product, there may be some hope that a user using one of the VoIP products
will be able to communicate with a user using the other VoIP product. In Section 9.4.2, we’ll see that RTP is often used in conjunction with SIP, an important standard for Internet telephony.
It should be emphasized that RTP does not provide any mechanism to ensure timely delivery of data or provide other quality-of-service (QoS) guarantees; it does not even guarantee delivery of packets or prevent out-of-order delivery of packets. Indeed, RTP encapsulation is seen only at the end systems. Routers do not distinguish between IP datagrams that carry RTP packets and IP datagrams that don’t.
RTP allows each source (for example, a camera or a microphone) to be assigned its own independent RTP stream of packets. For example, for a video conference between two participants, four RTP streams could be opened—two streams for transmitting the audio (one in each direction) and two streams for transmitting the video (again, one in each direction). However, many popular encoding techniques—including MPEG 1 and MPEG 2—bundle the audio and video into a single stream during the encoding process. When the audio and video are bundled by the encoder, then only one RTP stream is generated in each direction.
RTP packets are not limited to unicast applications. They can also be sent over one-to-many and many- to-many multicast trees. For a many-to-many multicast session, all of the session’s senders and sources typically use the same multicast group for sending their RTP streams. RTP multicast streams belonging together, such as audio and video streams emanating from multiple senders in a video conference application, belong to an RTP session.
Figure 9.8 RTP header fields
RTP Packet Header Fields
As shown in Figure 9.8, the four main RTP packet header fields are the payload type, sequence number, timestamp, and source identifier fields.
The payload type field in the RTP packet is 7 bits long. For an audio stream, the payload type field is used to indicate the type of audio encoding (for example, PCM, adaptive delta modulation, linear predictive encoding) that is being used. If a sender decides to change the encoding in the middle of a session, the sender can inform the receiver of the change through this payload type field. The sender may want to change the encoding in order to increase the audio quality or to decrease the RTP stream
bit rate. Table 9.2 lists some of the audio payload types currently supported by RTP.
For a video stream, the payload type is used to indicate the type of video encoding (for example, motion
JPEG, MPEG 1, MPEG 2, H.261). Again, the sender can change video encoding on the fly during a
session. Table 9.3 lists some of the video payload types currently supported by RTP. The other important fields are the following:
Sequence number field. The sequence number field is 16 bits long. The sequence number increments by one for each RTP packet sent, and may be used by the receiver to detect packet loss
and to restore packet sequence. For example, if the receiver side of the application receives a stream of RTP packets with a gap between sequence numbers 86 and 89, then the receiver knows that packets 87 and 88 are missing. The receiver can then attempt to conceal the lost data.
Timestamp field. The timestamp field is 32 bits long. It reflects the sampling instant of the first byte in the RTP data packet. As we saw in the preceding section, the receiver can use timestamps to
remove packet jitter introduced in the network and to provide synchronous playout at the receiver. The timestamp is derived from a sampling clock at the sender. As an example, for audio the timestamp clock increments by one for each sampling period (for example, each 125 μsec for an 8 kHz sampling clock); if the audio application generates chunks consisting of 160 encoded samples, then the timestamp increases by 160 for each RTP packet when the source is active. The timestamp clock continues to increase at a constant rate even if the source is inactive.
Synchronization source identifier (SSRC). The SSRC field is 32 bits long. It identifies the source of the RTP stream. Typically, each stream in an RTP session has a distinct SSRC. The SSRC is not
the IP address of the sender, but instead is a number that the source assigns randomly when the new stream is started. The probability that two streams get assigned the same SSRC is very small. Should this happen, the two sources pick a new SSRC value.
Table 9.2 Audio payload types supported by RTP
Payload-Type Number
Audio Format
Sampling Rate
Rate
0
PCM μ-law
8 kHz
64 kbps
1
3
7
Table 9.3 Some video payload types supported by RTP
1016
GSM
8 kHz
8 kHz
8 kHz
4.8 kbps
13 kbps
LPC
2.4 kbps
9
G.722
16 kHz
48–64 kbps
14
MPEG Audio
90 kHz
—
15
G.728
8 kHz
16 kbps
Payload-Type Number
Video Format
26
Motion JPEG
31
H.261
32
MPEG 1 video
33
MPEG 2 video
9.4.2 SIP
The Session Initiation Protocol (SIP), defined in [RFC 3261; RFC 5411], is an open and lightweight protocol that does the following:
It provides mechanisms for establishing calls between a caller and a callee over an IP network. It allows the caller to notify the callee that it wants to start a call. It allows the participants to agree on
media encodings. It also allows participants to end calls.
It provides mechanisms for the caller to determine the current IP address of the callee. Users do not have a single, fixed IP address because they may be assigned addresses dynamically (using DHCP)
and because they may have multiple IP devices, each with a different IP address.
It provides mechanisms for call management, such as adding new media streams during the call,
changing the encoding during the call, inviting new participants during the call, call transfer, and call holding.
Setting Up a Call to a Known IP Address
To understand the essence of SIP, it is best to take a look at a concrete example. In this example, Alice is at her PC and she wants to call Bob, who is also working at his PC. Alice’s and Bob’s PCs are both equipped with SIP-based software for making and receiving phone calls. In this initial example, we’ll
assume that Alice knows the IP address of Bob’s PC. Figure 9.9 illustrates the SIP call-establishment process.
In Figure 9.9, we see that an SIP session begins when Alice sends Bob an INVITE message, which resembles an HTTP request message. This INVITE message is sent over UDP to the well-known port
5060 for SIP. (SIP messages can also be sent over TCP.) The INVITE message includes an identifier for Bob ([email protected]), an indication of Alice’s current IP address, an indication that Alice desires to receive audio, which is to be encoded in format AVP 0 (PCM encoded μ-law) and
Figure 9.9 SIP call establishment when Alice knows Bob’s IP address
encapsulated in RTP, and an indication that she wants to receive the RTP packets on port 38060. After receiving Alice’s INVITE message, Bob sends an SIP response message, which resembles an HTTP response message. This response SIP message is also sent to the SIP port 5060. Bob’s response includes a 200 OK as well as an indication of his IP address, his desired encoding and packetization for reception, and his port number to which the audio packets should be sent. Note that in this example Alice and Bob are going to use different audio-encoding mechanisms: Alice is asked to encode her audio with GSM whereas Bob is asked to encode his audio with PCM μ-law. After receiving Bob’s response, Alice sends Bob an SIP acknowledgment message. After this SIP transaction, Bob and Alice
can talk. (For visual convenience, Figure 9.9 shows Alice talking after Bob, but in truth they would normally talk at the same time.) Bob will encode and packetize the audio as requested and send the
audio packets to port number 38060 at IP address 167.180.112.24. Alice will also encode and packetize the audio as requested and send the audio packets to port number 48753 at IP address 193.64.210.89.
From this simple example, we have learned a number of key characteristics of SIP. First, SIP is an out- of-band protocol: The SIP messages are sent and received in sockets that are different from those used for sending and receiving the media data. Second, the SIP messages themselves are ASCII-readable and resemble HTTP messages. Third, SIP requires all messages to be acknowledged, so it can run over UDP or TCP.
In this example, let’s consider what would happen if Bob does not have a PCM μ-law codec for encoding audio. In this case, instead of responding with 200 OK, Bob would likely respond with a 606 Not Acceptable and list in the message all the codecs he can use. Alice would then choose one of the listed codecs and send another INVITE message, this time advertising the chosen codec. Bob could also simply reject the call by sending one of many possible rejection reply codes. (There are many such codes, including “busy,” “gone,” “payment required,” and “forbidden.”)
SIP Addresses
In the previous example, Bob’s SIP address is sip:[email protected]. However, we expect many—if not most—SIP addresses to resemble e-mail addresses. For example, Bob’s address might be
sip:[email protected]. When Alice’s SIP device sends an INVITE message, the message would include this e-mail-like address; the SIP infrastructure would then route the message to the IP device
that Bob is currently using (as we’ll discuss below). Other possible forms for the SIP address could be Bob’s legacy phone number or simply Bob’s first/middle/last name (assuming it is unique).
An interesting feature of SIP addresses is that they can be included in Web pages, just as people’s e- mail addresses are included in Web pages with the mailto URL. For example, suppose Bob has a
personal homepage, and he wants to provide a means for visitors to the homepage to call him. He could
then simply include the URL sip:[email protected]. When the visitor clicks on the URL, the SIP application in the visitor’s device is launched and an INVITE message is sent to Bob.
SIP Messages
In this short introduction to SIP, we’ll not cover all SIP message types and headers. Instead, we’ll take a brief look at the SIP INVITE message, along with a few common header lines. Let us again suppose that Alice wants to initiate a VoIP call to Bob, and this time Alice knows only Bob’s SIP address,
[email protected], and does not know the IP address of the device that Bob is currently using. Then her message might look something like this:
INVITE sip:[email protected] SIP/2.0 Via: SIP/2.0/UDP 167.180.112.24 From: sip:[email protected]
To: sip:[email protected]
Call-ID: [email protected] Content-Type: application/sdp Content-Length: 885
c=IN IP4 167.180.112.24
m=audio 38060 RTP/AVP 0
The INVITE line includes the SIP version, as does an HTTP request message. Whenever an SIP message passes through an SIP device (including the device that originates the message), it attaches a Via header, which indicates the IP address of the device. (We’ll see soon that the typical INVITE message passes through many SIP devices before reaching the callee’s SIP application.) Similar to an e-mail message, the SIP message includes a From header line and a To header line. The message includes a Call-ID, which uniquely identifies the call (similar to the message-ID in e-mail). It includes a Content-Type header line, which defines the format used to describe the content contained in the SIP message. It also includes a Content-Length header line, which provides the length in bytes of the content in the message. Finally, after a carriage return and line feed, the message contains the content. In this case, the content provides information about Alice’s IP address and how Alice wants to receive the audio.
Name Translation and User Location
In the example in Figure 9.9, we assumed that Alice’s SIP device knew the IP address where Bob could
be contacted. But this assumption is quite unrealistic, not only because IP addresses are often dynamically assigned with DHCP, but also because Bob may have multiple IP devices (for example, different devices for his home, work, and car). So now let us suppose that Alice knows only Bob’s e-mail
address, [email protected], and that this same address is used for SIP-based calls. In this case, Alice needs to obtain the IP address of the device that the user [email protected] is currently using. To find
this out, Alice creates an INVITE message that begins with INVITE [email protected] SIP/2.0 and sends this message to an SIP proxy. The proxy will respond with an SIP reply that might include the IP
address of the device that [email protected] is currently using. Alternatively, the reply might include the IP address of Bob’s voicemail box, or it might include a URL of a Web page (that says “Bob is
sleeping. Leave me alone!”). Also, the result returned by the proxy might depend on the caller: If the call is from Bob’s wife, he might accept the call and supply his IP address; if the call is from Bob’s mother-in- law, he might respond with the URL that points to the I-am-sleeping Web page!
Now, you are probably wondering, how can the proxy server determine the current IP address for [email protected]? To answer this question, we need to say a few words about another SIP device,
the SIP registrar. Every SIP user has an associated registrar. Whenever a user launches an SIP application on a device, the application sends an SIP register message to the registrar, informing the registrar of its current IP address. For example, when Bob launches his SIP application on his PDA, the application would send a message along the lines of:
REGISTER sip:domain.com SIP/2.0 Via: SIP/2.0/UDP 193.64.210.89 From: sip:[email protected]
To: sip:[email protected]
Expires: 3600
Bob’s registrar keeps track of Bob’s current IP address. Whenever Bob switches to a new SIP device, the new device sends a new register message, indicating the new IP address. Also, if Bob remains at the same device for an extended period of time, the device will send refresh register messages, indicating that the most recently sent IP address is still valid. (In the example above, refresh messages need to be sent every 3600 seconds to maintain the address at the registrar server.) It is worth noting that the registrar is analogous to a DNS authoritative name server: The DNS server translates fixed host names to fixed IP addresses; the SIP registrar translates fixed human identifiers (for example,
[email protected]) to dynamic IP addresses. Often SIP registrars and SIP proxies are run on the same host.
Now let’s examine how Alice’s SIP proxy server obtains Bob’s current IP address. From the preceding discussion we see that the proxy server simply needs to forward Alice’s INVITE message to Bob’s registrar/proxy. The registrar/proxy could then forward the message to Bob’s current SIP device. Finally,
Bob, having now received Alice’s INVITE message, could send an SIP response to Alice.
As an example, consider Figure 9.10, in which [email protected], currently working on 217.123.56.89,
wants to initiate a Voice-over-IP (VoIP) session with [email protected], currently working on 197.87.54.21. The following steps are taken:
Figure 9.10 Session initiation, involving SIP proxies and registrars
(1) Jim sends an INVITE message to the umass SIP proxy. (2) The proxy does a DNS lookup on the SIP registrar upenn.edu (not shown in diagram) and then forwards the message to the registrar server.
(3) Because [email protected] is no longer registered at the upenn registrar, the upenn registrar sends
a redirect response, indicating that it should try [email protected]. (4) The umass proxy sends an INVITE
message to the NYU SIP registrar. (5) The NYU registrar knows the IP address of [email protected] and forwards the INVITE message to the host 197.87.54.21, which is running Keith’s SIP client. (6–8)
An SIP response is sent back through registrars/proxies to the SIP client on 217.123.56.89. (9) Media is sent directly between the two clients. (There is also an SIP acknowledgment message, which is not shown.)
Our discussion of SIP has focused on call initiation for voice calls. SIP, being a signaling protocol for initiating and ending calls in general, can be used for video conference calls as well as for text-based
sessions. In fact, SIP has become a fundamental component in many instant messaging applications. Readers desiring to learn more about SIP are encouraged to visit Henning Schulzrinne’s SIP Web site
[Schulzrinne-SIP 2016]. In particular, on this site you will find open source software for SIP clients and servers [SIP Software 2016].
9.5 Network Support for Multimedia
In Sections 9.2 through 9.4, we learned how application-level mechanisms such as client buffering, prefetching, adapting media quality to available bandwidth, adaptive playout, and loss mitigation
techniques can be used by multimedia applications to improve a multimedia application’s performance. We also learned how content distribution networks and P2P overlay networks can be used to provide a
system-level approach for delivering multimedia content. These techniques and approaches are all designed to be used in today’s best-effort Internet. Indeed, they are in use today precisely because the
Internet provides only a single, best-effort class of service. But as designers of computer networks, we
can’t help but ask whether the network (rather than the applications or application-level infrastructure alone) might provide mechanisms to support multimedia content delivery. As we’ll see shortly, the
answer is, of course, “yes”! But we’ll also see that a number of these new network-level mechanisms have yet to be widely deployed. This may be due to their complexity and to the fact that application-level techniques together with best-effort service and properly dimensioned network resources (for example, bandwidth) can indeed provide a “good-enough” (even if not-always-perfect) end-to-end multimedia delivery service.
Table 9.4 summarizes three broad approaches towards providing network-level support for multimedia applications.
Making the best of best-effort service. The application-level mechanisms and infrastructure that we studied in Sections 9.2 through 9.4 can be successfully used in a well-dimensioned network
where packet loss and excessive end-to-end delay rarely occur. When demand increases are forecasted, the ISPs deploy additional bandwidth and switching capacity to continue to ensure
satisfactory delay and packet-loss performance [Huang 2005]. We’ll discuss such network dimensioning further in Section 9.5.1.
Differentiated service. Since the early days of the Internet, it’s been envisioned that different types of traffic (for example, as indicated in the Type-of-Service field in the IP4v packet header) could be
provided with different classes of service, rather than a single one-size-fits-all best-effort service. With differentiated service, one type of traffic might be given strict priority over another class of traffic when both types of traffic are queued at a router. For example, packets belonging to a real- time conversational application might be given priority over other packets due to their stringent delay constraints. Introducing differentiated service into the network will require new mechanisms for packet marking (indicating a packet’s class of service), packet scheduling, and more. We’ll cover
differentiated service, and new network mechanisms needed to implement this service, in Sections 9.5.2 and 9.5.3.
Table 9.4 Three network-level approaches to supporting multimedia applications
Approach
Granularity
Guarantee
Mechanisms
Complexity
Deployment to date
Making the best of best- effort service
all traffic treated equally
none, or soft
application-layer support, CDNs, overlays, network- level resource provisioning
minimal
everywhere
Differentiated service
different classes of traffic treated differently
none, or soft
packet marking, policing, scheduling
medium
some
Per- connection Quality-of- Service (QoS) Guarantees
each source- destination flows treated differently
soft or hard, once flow is admitted
packet marking, policing, scheduling; call admission and signaling
light
little
Per-connection Quality-of-Service (QoS) Guarantees. With per-connection QoS guarantees, each instance of an application explicitly reserves end-to-end bandwidth and thus has a guaranteed
end-to-end performance. A hard guarantee means the application will receive its requested quality of service (QoS) with certainty. A soft guarantee means the application will receive its requested quality of service with high probability. For example, if a user wants to make a VoIP call from Host A to Host B, the user’s VoIP application reserves bandwidth explicitly in each link along a route between the two hosts. But permitting applications to make reservations and requiring the network to honor the reservations requires some big changes. First, we need a protocol that, on behalf of the applications, reserves link bandwidth on the paths from the senders to their receivers. Second, we’ll need new scheduling policies in the router queues so that per-connection bandwidth reservations can be honored. Finally, in order to make a reservation, the applications must give the network a description of the traffic that they intend to send into the network and the network will need to police each application’s traffic to make sure that it abides by that description. These mechanisms, when combined, require new and complex software in hosts and routers. Because per-connection QoS guaranteed service has not seen significant deployment, we’ll cover these mechanisms only briefly
in Section 9.5.4.
9.5.1 Dimensioning Best-Effort Networks
Fundamentally, the difficulty in supporting multimedia applications arises from their stringent performance requirements—low end-to-end packet delay, delay jitter, and loss—and the fact that packet delay, delay jitter, and loss occur whenever the network becomes congested. A first approach to improving the quality of multimedia applications—an approach that can often be used to solve just about any problem where resources are constrained—is simply to “throw money at the problem” and thus simply avoid resource contention. In the case of networked multimedia, this means providing enough link capacity throughout the network so that network congestion, and its consequent packet delay and loss, never (or only very rarely) occurs. With enough link capacity, packets could zip through today’s Internet without queuing delay or loss. From many perspectives this is an ideal situation—multimedia applications would perform perfectly, users would be happy, and this could all be achieved with no changes to Internet’s best-effort architecture.
The question, of course, is how much capacity is “enough” to achieve this nirvana, and whether the costs of providing “enough” bandwidth are practical from a business standpoint to the ISPs. The question of how much capacity to provide at network links in a given topology to achieve a given level of performance is often known as bandwidth provisioning. The even more complicated problem of how to design a network topology (where to place routers, how to interconnect routers with links, and what capacity to assign to links) to achieve a given level of end-to-end performance is a network design problem often referred to as network dimensioning. Both bandwidth provisioning and network dimensioning are complex topics, well beyond the scope of this textbook. We note here, however, that the following issues must be addressed in order to predict application-level performance between two network end points, and thus provision enough capacity to meet an application’s performance requirements.
Models of traffic demand between network end points. Models may need to be specified at both the call level (for example, users “arriving” to the network and starting up end-to-end applications)
and at the packet level (for example, packets being generated by ongoing applications). Note that workload may change over time.
Well-defined performance requirements. For example, a performance requirement for supporting delay-sensitive traffic, such as a conversational multimedia application, might be that the probability
that the end-to-end delay of the packet is greater than a maximum tolerable delay be less than some
small value [Fraleigh 2003].
Models to predict end-to-end performance for a given workload model, and techniques to find
a minimal cost bandwidth allocation that will result in all user requirements being met. Here, researchers are busy developing performance models that can quantify performance for a given
workload, and optimization techniques to find minimal-cost bandwidth allocations meeting performance requirements.
Given that today’s best-effort Internet could (from a technology standpoint) support multimedia traffic at an appropriate performance level if it were dimensioned to do so, the natural question is why today’s Internet doesn’t do so. The answers are primarily economic and organizational. From an economic standpoint, would users be willing to pay their ISPs enough for the ISPs to install sufficient bandwidth to support multimedia applications over a best-effort Internet? The organizational issues are perhaps even more daunting. Note that an end-to-end path between two multimedia end points will pass through the networks of multiple ISPs. From an organizational standpoint, would these ISPs be willing to cooperate (perhaps with revenue sharing) to ensure that the end-to-end path is properly dimensioned to support
multimedia applications? For a perspective on these economic and organizational issues, see [Davies 2005]. For a perspective on provisioning tier-1 backbone networks to support delay-sensitive traffic, see [Fraleigh 2003].
9.5.2 Providing Multiple Classes of Service
Perhaps the simplest enhancement to the one-size-fits-all best-effort service in today’s Internet is to divide traffic into classes, and provide different levels of service to these different classes of traffic. For example, an ISP might well want to provide a higher class of service to delay-sensitive Voice-over-IP or teleconferencing traffic (and charge more for this service!) than to elastic traffic such as e-mail or HTTP. Alternatively, an ISP may simply want to provide a higher quality of service to customers willing to pay more for this improved service. A number of residential wired-access ISPs and cellular wireless-access ISPs have adopted such tiered levels of service—with platinum-service subscribers receiving better performance than gold- or silver-service subscribers.
We’re all familiar with different classes of service from our everyday lives—first-class airline passengers get better service than business-class passengers, who in turn get better service than those of us who fly economy class; VIPs are provided immediate entry to events while everyone else waits in line; elders are revered in some countries and provided seats of honor and the finest food at a table. It’s important to note that such differential service is provided among aggregates of traffic, that is, among classes of traffic, not among individual connections. For example, all first-class passengers are handled the same (with no first-class passenger receiving any better treatment than any other first-class passenger), just as all VoIP packets would receive the same treatment within the network, independent of the particular end-to-end connection to which they belong. As we will see, by dealing with a small number of traffic aggregates, rather than a large number of individual connections, the new network mechanisms required to provide better-than-best service can be kept relatively simple.
The early Internet designers clearly had this notion of multiple classes of service in mind. Recall the
type-of-service (ToS) field in the IPv4 header discussed in Chapter 4. IEN123 [ISI 1979] describes the ToS field also present in an ancestor of the IPv4 datagram as follows: “The Type of Service [field]
provides an indication of the abstract parameters of the quality of service desired. These parameters are to be used to guide the selection of the actual service parameters when transmitting a datagram through a particular network. Several networks offer service precedence, which somehow treats high precedence traffic as more important that other traffic.” More than four decades ago, the vision of providing different levels of service to different classes of traffic was clear! However, it’s taken us an equally long period of time to realize this vision.
Motivating Scenarios
Let’s begin our discussion of network mechanisms for providing multiple classes of service with a few motivating scenarios.
Figure 9.11 shows a simple network scenario in which two application packet flows originate on Hosts H1 and H2 on one LAN and are destined for Hosts H3 and H4 on another LAN. The routers on the two
LANs are connected by a 1.5 Mbps link. Let’s assume the LAN speeds are significantly higher than 1.5 Mbps, and focus on the output queue of router R1; it is here that packet delay and packet loss will occur if the aggregate sending rate of H1 and H2 exceeds 1.5 Mbps. Let’s further suppose that a 1 Mbps audio application (for example, a CD-quality audio call) shares the
Figure 9.11 Competing audio and HTTP applications
1.5 Mbps link between R1 and R2 with an HTTP Web-browsing application that is downloading a Web page from H2 to H4.
In the best-effort Internet, the audio and HTTP packets are mixed in the output queue at R1 and (typically) transmitted in a first-in-first-out (FIFO) order. In this scenario, a burst of packets from the Web
server could potentially fill up the queue, causing IP audio packets to be excessively delayed or lost due to buffer overflow at R1. How should we solve this potential problem? Given that the HTTP Web- browsing application does not have time constraints, our intuition might be to give strict priority to audio packets at R1. Under a strict priority scheduling discipline, an audio packet in the R1 output buffer would always be transmitted before any HTTP packet in the R1 output buffer. The link from R1 to R2 would look like a dedicated link of 1.5 Mbps to the audio traffic, with HTTP traffic using the R1-to-R2 link only when no audio traffic is queued. In order for R1 to distinguish between the audio and HTTP packets in its queue, each packet must be marked as belonging to one of these two classes of traffic. This was the original goal of the type-of-service (ToS) field in IPv4. As obvious as this might seem, this then is our first insight into mechanisms needed to provide multiple classes of traffic:
Insight 1: Packet marking allows a router to distinguish among packets belonging to different classes of traffic.
Note that although our example considers a competing multimedia and elastic flow, the same insight applies to the case that platinum, gold, and silver classes of service are implemented—a packet- marking mechanism is still needed to indicate that class of service to which a packet belongs.
Now suppose that the router is configured to give priority to packets marked as belonging to the 1 Mbps audio application. Since the outgoing link speed is 1.5 Mbps, even though the HTTP packets receive lower priority, they can still, on average, receive 0.5 Mbps of transmission service. But what happens if the audio application starts sending packets at a rate of 1.5 Mbps or higher (either maliciously or due to an error in the application)? In this case, the HTTP packets will starve, that is, they will not receive any service on the R1-to-R2 link. Similar problems would occur if multiple applications (for example, multiple audio calls), all with the same class of service as the audio application, were sharing the link’s bandwidth; they too could collectively starve the FTP session. Ideally, one wants a degree of isolation among classes of traffic so that one class of traffic can be protected from the other. This protection could be implemented at different places in the network—at each and every router, at first entry to the network, or at inter-domain network boundaries. This then is our second insight:
Insight 2: It is desirable to provide a degree of traffic isolation among classes so that one class is not adversely affected by another class of traffic that misbehaves.
We’ll examine several specific mechanisms for providing such isolation among traffic classes. We note here that two broad approaches can be taken. First, it is possible to perform traffic policing, as shown
in Figure 9.12. If a traffic class or flow must meet certain criteria (for example, that the audio flow not exceed a peak rate of 1 Mbps), then a policing mechanism can be put into place to ensure that these
criteria are indeed observed. If the policed application misbehaves, the policing mechanism will take some action (for example, drop or delay packets that are in violation of the criteria) so that the traffic actually entering the network conforms to the criteria. The leaky bucket mechanism that we’ll examine
shortly is perhaps the most widely used policing mechanism. In Figure 9.12, the packet classification and marking mechanism (Insight 1) and the policing mechanism (Insight 2) are both implemented
together at the network’s edge, either in the end system or at an edge router.
A complementary approach for providing isolation among traffic classes is for the link-level packet- scheduling mechanism to explicitly allocate a fixed amount of link bandwidth to each class. For example, the audio class could be allocated 1 Mbps at R1, and the HTTP class could be allocated 0.5 Mbps. In this case, the audio and
Figure 9.12 Policing (and marking) the audio and HTTP traffic classes
Figure 9.13 Logical isolation of audio and HTTP traffic classes
HTTP flows see a logical link with capacity 1.0 and 0.5 Mbps, respectively, as shown in Figure 9.13. With strict enforcement of the link-level allocation of bandwidth, a class can use only the amount of
bandwidth that has been allocated; in particular, it cannot utilize bandwidth that is not currently being used by others. For example, if the audio flow goes silent (for example, if the speaker pauses and generates no audio packets), the HTTP flow would still not be able to transmit more than 0.5 Mbps over the R1-to-R2 link, even though the audio flow’s 1 Mbps bandwidth allocation is not being used at that moment. Since bandwidth is a “use-it-or-lose-it” resource, there is no reason to prevent HTTP traffic from using bandwidth not used by the audio traffic. We’d like to use bandwidth as efficiently as possible, never wasting it when it could be otherwise used. This gives rise to our third insight:
Insight 3: While providing isolation among classes or flows, it is desirable to use resources (for example, link bandwidth and buffers) as efficiently as possible.
Recall from our discussion in Sections 1.3 and 4.2 that packets belonging to various network flows are multiplexed and queued for transmission at the output buffers associated with a link. The manner in
which queued packets are selected for transmission on the link is known as the link-scheduling discipline, and was discussed in detail in Section 4.2. Recall that in Section 4.2 three link-scheduling
disciplines were discussed, namely, FIFO, priority queuing, and Weighted Fair Queuing (WFQ). We’ll see soon see that WFQ will play a particularly important role for isolating the traffic classes.
The Leaky Bucket
One of our earlier insights was that policing, the regulation of the rate at which a class or flow (we will assume the unit of policing is a flow in our discussion below) is allowed to inject packets into the
network, is an important QoS mechanism. But what aspects of a flow’s packet rate should be policed? We can identify three important policing criteria, each differing from the other according to the time scale over which the packet flow is policed:
Average rate. The network may wish to limit the long-term average rate (packets per time interval) at which a flow’s packets can be sent into the network. A crucial issue here is the interval of time
over which the average rate will be policed. A flow whose average rate is limited to 100 packets per second is more constrained than a source that is limited to 6,000 packets per minute, even though both have the same average rate over a long enough interval of time. For example, the latter constraint would allow a flow to send 1,000 packets in a given second-long interval of time, while the former constraint would disallow this sending behavior.
Peak rate. While the average-rate constraint limits the amount of traffic that can be sent into the network over a relatively long period of time, a peak-rate constraint limits the maximum number of
packets that can be sent over a shorter period of time. Using our example above, the network may police a flow at an average rate of 6,000 packets per minute, while limiting the flow’s peak rate to 1,500 packets per second.
Burst size. The network may also wish to limit the maximum number of packets (the “burst” of packets) that can be sent into the network over an extremely short interval of time. In the limit, as the
interval length approaches zero, the burst size limits the number of packets that can be instantaneously sent into the network. Even though it is physically impossible to instantaneously send multiple packets into the network (after all, every link has a physical transmission rate that cannot be exceeded!), the abstraction of a maximum burst size is a useful one.
The leaky bucket mechanism is an abstraction that can be used to characterize these policing limits. As
shown in Figure 9.14, a leaky bucket consists of a bucket that can hold up to b tokens. Tokens are added to this bucket as follows. New tokens, which may potentially be added to the bucket, are always
being generated at a rate of r tokens per second. (We assume here for simplicity that the unit of time is a second.) If the bucket is filled with less than b tokens when a token is generated, the newly generated
token is added to the bucket; otherwise the newly generated token is ignored, and the token bucket remains full with b tokens.
Let us now consider how the leaky bucket can be used to police a packet flow. Suppose that before a packet is transmitted into the network, it must first remove a token from the token bucket. If the token bucket is empty, the packet must wait for
Figure 9.14 The leaky bucket policer
a token. (An alternative is for the packet to be dropped, although we will not consider that option here.)
Let us now consider how this behavior polices a traffic flow. Because there can be at most b tokens in
the bucket, the maximum burst size for a leaky-bucket-policed flow is b packets. Furthermore, because
the token generation rate is r, the maximum number of packets that can enter the network of any interval
of time of length t is rt+b. Thus, the token-generation rate, r, serves to limit the long-term average rate at which packets can enter the network. It is also possible to use leaky buckets (specifically, two leaky
buckets in series) to police a flow’s peak rate in addition to the long-term average rate; see the homework problems at the end of this chapter.
Leaky Bucket + Weighted Fair Queuing = Provable Maximum Delay in a Queue
Let’s close our discussion on policing by showing how the leaky bucket and WFQ can be combined to provide a bound on the delay through a router’s queue. (Readers who have forgotten about WFQ are
encouraged to review WFQ, which is covered in Section 4.2.) Let’s consider a router’s output link that multiplexes n flows, each policed by a leaky bucket with parameters bi and ri,i=1,…,n, using WFQ
scheduling. We use the term flow here loosely to refer to the set of packets that are not distinguished from each other by the scheduler. In practice, a flow might be comprised of traffic from a single end-to-
end connection or a collection of many such connections, see Figure 9.15.
Recall from our discussion of WFQ that each flow, i, is guaranteed to receive a share of the link bandwidth equal to at least R⋅wi/(∑ wj), where R is the transmission
Figure 9.15 n multiplexed leaky bucket flows with WFQ scheduling
rate of the link in packets/sec. What then is the maximum delay that a packet will experience while
waiting for service in the WFQ (that is, after passing through the leaky bucket)? Let us focus on flow 1.
Suppose that flow 1’s token bucket is initially full. A burst of b1 packets then arrives to the leaky bucket policer for flow 1. These packets remove all of the tokens (without wait) from the leaky bucket and then
join the WFQ waiting area for flow 1. Since these b1 packets are served at a rate of at least R⋅wi/(∑ wj) packet/sec, the last of these packets will then have a maximum delay, dmax, until its transmission is
completed, where dmax=b1R⋅w1/∑ wj
The rationale behind this formula is that if there are b1 packets in the queue and packets are being serviced (removed) from the queue at a rate of at least R⋅w1/(∑ wj) packets per second, then the amount of time until the last bit of the last packet is transmitted cannot be more than b1/(R⋅w1/(∑ wj)). A
homework problem asks you to prove that as long as r1
P3. Recall the simple model for HTTP streaming shown in Figure 9.3 . Suppose the buffer size is infinite but the server sends bits at variable rate x(t). Specifically, suppose x(t) has the
following saw-tooth shape. The rate is initially zero at time t=0 and linearly climbs to H at time t=T. It then repeats this pattern again and again, as shown in the figure below.
a. What is the server’s average send rate?
b. Suppose that Q=0, so that the client starts playback as soon as it receives a video frame. What will happen?
c. Now suppose Q>0 and HT/2≥Q. Determine as a function of Q, H, and T the time at which playback first begins.
d. Suppose H>2r and Q=HT/2. Prove there will be no freezing after the initial playout delay.
e. Suppose H>2r. Find the smallest value of Q such that there will be no freezing after the initial playback delay.
f. Now suppose that the buffer size B is finite. Suppose H>2r. As a function of Q, B, T, and H, determine the time t=tf when the client application buffer first becomes full.
P4. Recall the simple model for HTTP streaming shown in Figure 9.3 . Suppose the client
application buffer is infinite, the server sends at the constant rate x, and the video consumption r
P5. Consider a DASH system (as discussed in Section 2.6 ) for which there are N video versions (at N different rates and qualities) and N audio versions (at N different rates and qualities). Suppose we want to allow the player to choose at any time any of the N video versions and any of the N audio versions.
a. If we create files so that the audio is mixed in with the video, so server sends only one media stream at given time, how many files will the server need to store (each a different
URL)?
b. If the server instead sends the audio and video streams separately and has the client synchronize the streams, how many files will the server need to store?
P6. In the VoIP example in Section 9.3 , let h be the total number of header bytes added to each chunk, including UDP and IP header.
a. Assuming an IP datagram is emitted every 20 msecs, find the transmission rate in bits per second for the datagrams generated by one side of this application.
b. What is a typical value of h when RTP is used?
P7. Consider the procedure described in Section 9.3 for estimating average delay di. Suppose that u=0.1. Let r1−t1 be the most recent sample delay, let r2−t2 be the next most recent sample delay, and so on.
a. For a given audio application suppose four packets have arrived at the receiver with
sample delays r4−t4, r3−t3, r2−t2, and r1−t1. Express the estimate of delay d in terms of the four samples.
b. Generalize your formula for n sample delays.
c. For the formula in part (b), let n approach infinity and give the resulting formula.
Comment on why this averaging procedure is called an exponential moving average.
P8. Repeat parts (a) and (b) in Question P7 for the estimate of average delay deviation.
P9. For the VoIP example in Section 9.3 , we introduced an online procedure (exponential moving average) for estimating delay. In this problem we will examine an alternative procedure.
Let ti be the timestamp of the ith packet received; let ri be the time at which the ith packet is
received. Let dn be our estimate of average delay after receiving the nth packet. After the first packet is received, we set the delay estimate equal to d1=r1−t1.
a. Suppose that we would like dn=(r1−t1+r2−t2+⋯+rn−tn)/n for all n. Give a recursive formula for dn in terms of dn−1, rn, and tn.
b. Describe why for Internet telephony, the delay estimate described in Section 9.3 is more appropriate than the delay estimate outlined in part (a).
P10. Compare the procedure described in Section 9.3 for estimating average delay with the procedure in Section 3.5 for estimating round-trip time. What do the procedures have in
common? How are they different?
P11. Consider the figure below (which is similar to Figure 9.3 ). A sender begins sending packetized audio periodically at t=1. The first packet arrives at the receiver at t=8.
a. What are the delays (from sender to receiver, ignoring any playout delays) of packets 2 through 8? Note that each vertical and horizontal line segment in the figure has a length
of 1, 2, or 3 time units.
b. If audio playout begins as soon as the first packet arrives at the receiver at t=8, which of the first eight packets sent will not arrive in time for playout?
c. If audio playout begins at t=9, which of the first eight packets sent will not arrive in time for playout?
d. What is the minimum playout delay at the receiver that results in all of the first eight packets arriving in time for their playout?
P12. Consider again the figure in P11, showing packet audio transmission and reception times. a. Compute the estimated delay for packets 2 through 8, using the formula for di from
Section 9.3.2 . Use a value of u=0.1.
b. Compute the estimated deviation of the delay from the estimated average for packets 2 through 8, using the formula for vi from Section 9.3.2 . Use a value of u=0.1.
P13. Recall the two FEC schemes for VoIP described in Section 9.3 . Suppose the first scheme generates a redundant chunk for every four original chunks. Suppose the second scheme uses a
low-bit rate encoding whose transmission rate is 25 percent of the transmission rate of the nominal stream.
a. How much additional bandwidth does each scheme require? How much playback delay does each scheme add?
b. How do the two schemes perform if the first packet is lost in every group of five packets? Which scheme will have better audio quality?
c. How do the two schemes perform if the first packet is lost in every group of two packets? Which scheme will have better audio quality?
P14.
a. Consider an audio conference call in Skype with N>2 participants. Suppose each
participant generates a constant stream of rate r bps. How many bits per second will the call initiator need to send? How many bits per second will each of the other N−1
participants need to send? What is the total send rate, aggregated over all participants?
b. Repeat part (a) for a Skype video conference call using a central server.
c. Repeat part (b), but now for when each peer sends a copy of its video stream to each of the N−1 other peers.
P15.
a. Suppose we send into the Internet two IP datagrams, each carrying a different UDP segment. The first datagram has source IP address A1, destination IP address B, source
port P1, and destination port T. The second datagram has source IP address A2, destination IP address B, source port P2, and destination port T. Suppose that A1 is different from A2 and that P1 is different from P2. Assuming that both datagrams reach their final destination, will the two UDP datagrams be received by the same socket? Why or why not?
b. Suppose Alice, Bob, and Claire want to have an audio conference call using SIP and RTP. For Alice to send and receive RTP packets to and from Bob and Claire, is only one
UDP socket sufficient (in addition to the socket needed for the SIP messages)? If yes, then how does Alice’s SIP client distinguish between the RTP packets received from Bob and Claire?
P16. True or false:
a. If stored video is streamed directly from a Web server to a media player, then the application is using TCP as the underlying transport protocol.
b. When using RTP, it is possible for a sender to change encoding in the middle of a session.
c. All applications that use RTP must use port 87.
d. If an RTP session has a separate audio and video stream for each sender, then the audio and video streams use the same SSRC.
e. In differentiated services, while per-hop behavior defines differences in performance among classes, it does not mandate any particular mechanism for achieving these
performances.
f. Suppose Alice wants to establish an SIP session with Bob. In her INVITE message she includes the line: m=audio 48753 RTP/AVP 3 (AVP 3 denotes GSM audio). Alice has
therefore indicated in this message that she wishes to send GSM audio.
g. Referring to the preceding statement, Alice has indicated in her INVITE message that she will send audio to port 48753.
h. SIP messages are typically sent between SIP entities using a default SIP port number.
i. In order to maintain registration, SIP clients must periodically send REGISTER messages.
j. SIP mandates that all SIP clients support G.711 audio encoding.
P17. Consider the figure below, which shows a leaky bucket policer being fed by a stream of packets. The token buffer can hold at most two tokens, and is initially full at t=0. New tokens
arrive at a rate of one token per slot. The output link speed is such that if two packets obtain tokens at the beginning of a time slot, they can both go to the output link in the same slot. The timing details of the system are as follows:
A. Packets (if any) arrive at the beginning of the slot. Thus in the figure, packets 1, 2, and 3 arrive in slot 0. If there are already packets in the queue, then the arriving packets join
the end of the queue. Packets proceed towards the front of the queue in a FIFO manner.
B. After the arrivals have been added to the queue, if there are any queued packets, one or two of those packets (depending on the number of available tokens) will each remove a
token from the token buffer and go to the output link during that slot. Thus, packets 1 and
2 each remove a token from the buffer (since there are initially two tokens) and go to the output link during slot 0.
C. A new token is added to the token buffer if it is not full, since the token generation rate is r = 1 token/slot.
D. Time then advances to the next time slot, and these steps repeat.
Answer the following questions:
a. For each time slot, identify the packets that are in the queue and the number of tokens in the bucket, immediately after the arrivals have been processed (step 1 above) but before
any of the packets have passed through the queue and removed a token. Thus, for the t=0 time slot in the example above, packets 1, 2, and 3 are in the queue, and there are two tokens in the buffer.
b. For each time slot indicate which packets appear on the output after the token(s) have been removed from the queue. Thus, for the t=0 time slot in the example above, packets
1 and 2 appear on the output link from the leaky buffer during slot 0.
P18. Repeat P17 but assume that r=2. Assume again that the bucket is initially full.
P19. Consider P18 and suppose now that r=3 and that b=2 as before. Will your answer to the question above change?
P20. Consider the leaky bucket policer that polices the average rate and burst size of a packet
flow. We now want to police the peak rate, p, as well. Show how the output of this leaky bucket policer can be fed into a second leaky bucket policer so that the two leaky buckets in series
police the average rate, peak rate, and burst size. Be sure to give the bucket size and token generation rate for the second policer.
P21. A packet flow is said to conform to a leaky bucket specification (r, b) with burst size b and
average rate r if the number of packets that arrive to the leaky bucket is less than rt+b packets in
every interval of time of length t for all t. Will a packet flow that conforms to a leaky bucket
specification (r, b) ever have to wait at a leaky bucket policer with parameters r and b? Justify your answer.
P22. Show that as long as r1
Reviews
There are no reviews yet.