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Stability of end-to-end algorithms for joint routing and rate control

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Thomas VoiceAuthors Info & Claims

ACM SIGCOMM Computer Communication Review, Volume 35, Issue 2

Pages 5 - 12

https://doi.org/10.1145/1064413.1064415

Published: 01 April 2005 Publication History

Abstract

Dynamic multi-path routing has the potential to improve the reliability and performance of a communication network, but carries a risk. Routing needs to respond quickly to achieve the potential benefits, but not so quickly that the network is destabilized. This paper studies how rapidly routing can respond, without compromising stability.We present a sufficient condition for the local stability of end-to-end algorithms for joint routing and rate control. The network model considered allows an arbitrary interconnection of sources and resources, and heterogeneous propagation delays. The sufficient condition we present is decentralized: the responsiveness of each route is restricted by the round-trip time of that route alone, and not by the round-trip times of other routes. Our results suggest that stable, scalable load-sharing across paths, based on end-to-end measurements, can be achieved on the same rapid time-scale as rate control, namely the time-scale of round-trip times.

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Index Terms

Stability of end-to-end algorithms for joint routing and rate control
1. Networks
  1. Network protocols
    1. Network layer protocols
      1. Routing protocols

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Published In

cover image ACM SIGCOMM Computer Communication Review

ACM SIGCOMM Computer Communication Review Volume 35, Issue 2

April 2005

86 pages

ISSN:0146-4833

DOI:10.1145/1064413

Issue’s Table of Contents

Copyright © 2005 Authors.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 April 2005

Published in SIGCOMM-CCR Volume 35, Issue 2

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https://dl.acm.org/doi/10.1145/3587819.3597030
Zhao JLiu JWang HXu CZhang H(2023)Multipath Congestion Control: Measurement, Analysis, and Optimization From the Energy PerspectiveIEEE Transactions on Network Science and Engineering10.1109/TNSE.2023.3257034(1-12)Online publication date: 2023
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