Analytical Methods for Network Congestion Control (Synthesis Lectures on Communication Networks)

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The congestion control mechanism has been responsible for maintaining stability as the Internet scaled up by many orders of magnitude in size, speed, traffic volume, coverage, and complexity over the last three decades. In this book, we develop a coherent theory of congestion control from the ground up to help understand and design these algorithms. We model network traffic as fluids that flow from sources to destinations and model congestion control algorithms as feedback dynamical systems. We show that the model is well defined. We characterize its equilibrium points and prove their stability. We will use several real protocols for illustration but the emphasis will be on various mathematical techniques for algorithm analysis.

Specifically we are interested in four questions:

1. How are congestion control algorithms modelled?

2. Are the models well defined?

3. How are the equilibrium points of a congestion control model characterized?

4. How are the stability of these equilibrium points analyzed?

For each topic, we first present analytical tools, from convex optimization, to control and dynamical systems, Lyapunov and Nyquist stability theorems, and to projection and contraction theorems. We then apply these basic tools to congestion control algorithms and rigorously prove their equilibrium and stability properties. A notable feature of this book is the careful treatment of projected dynamics that introduces discontinuity in our differential equations.

Even though our development is carried out in the context of congestion control, the set of system theoretic tools employed and the process of understanding a physical system, building mathematical models, and analyzing these models for insights have a much wider applicability than to congestion control.

Steven H. Low has been a professor with the Department of Computing & Mathematical Sciences and the Department of Electrical Engineering at California Institute of Technology (Caltech) since 2000. Before that, he was with AT&T Bell Laboratories, Murray Hill, NJ from 1992-1996, and with the University of Melbourne, Australia from 1996-2000. He has been a co-recipient of IEEE best paper awards, on the editorial boards of major journals in networking and power systems, and Honorary/Chair professors in Australia, China, and Taiwan. He is an IEEE Fellow. His research on communication networks has been accelerating more than 1TB of Internet traffic every second since 2014. He was a member of the Networking and Information Technology Technical Advisory Group for the US President's Council of Advisors on Science and Technology (PCAST) in 2006. He received his B.S. from Cornell and a Ph.D. from UC Berkeley, both in Electrical Engineering.R. Srikant received his B.Tech. from the Indian Institute of Technology, Madras in 1985, his M.S. and Ph.D. from the University of Illinoisat Urbana-Champaign in 1988 and 1991, respectively, all in Electrical Engineering. He was a Member of Technical Staff at AT&T Bell Laboratoriesfrom 1991 to 1995. He is currently with the University of Illinois at Urbana-Champaign, where he is the Fredric G. and Elizabeth H. Nearing Endowed Professor of Electrical and Computer Engineering and a Professor in the Coordinated Science Lab.

keywords:networking courses,networking courses,cloud networking,networking science,science networking,

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eBook Details:
Category: Networking
Author: Steven H. Low
Language: English
ISBN10: 1627057331
ISBN13: 9781627057332
Pages: 214
PubDate: 2017-07-19 00:00:00
UploadDate: 8/13/2017 11:48:38 am

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