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Analytical Methods for Network Congestion Control

Low, Steven H. (2017) Analytical Methods for Network Congestion Control. Synthesis lectures on communication networks. No.18. Morgan & Claypool , San Rafael, CA, pp. 1-213. ISBN 9781627055994. https://resolver.caltech.edu/CaltechAUTHORS:20170816-110227980

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Abstract

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.


Item Type:Book
Related URLs:
URLURL TypeDescription
https://doi.org/10.2200/S00778ED1V01Y201705CNT018DOIBook
http://www.morganclaypool.com/doi/10.2200/S00778ED1V01Y201705CNT018PublisherBook
ORCID:
AuthorORCID
Low, Steven H.0000-0001-6476-3048
Additional Information:© 2017 Morgan & Claypool Publishers.
Series Name:Synthesis lectures on communication networks
Issue or Number:18
DOI:10.2200/S00778ED1V01Y201705CNT018
Record Number:CaltechAUTHORS:20170816-110227980
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170816-110227980
Official Citation:Analytical Methods for Network Congestion Control Steven H. Low Synthesis Lectures on Communication Networks, July 2017, Vol. 10, No. 1 , Pages 1-213 (https://doi.org/10.2200/S00778ED1V01Y201705CNT018)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:80483
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:16 Aug 2017 18:20
Last Modified:15 Nov 2021 19:36

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