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STOCHASTICALLY SCALABLE FLOW CONTROL

Published online by Cambridge University Press:  14 July 2009

Thomas Voice
Thomas Voice
Affiliation:
Cambridge University Statistical Laboratory, Cambridge, UK E-mail: [email protected]
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Abstract

Recent advances in the mathematical analysis of flow control have prompted the creation of the Scalable TCP (STCP) and Exponential RED (E-RED) algorithms. These are designed to be scalable under the popular deterministic delay stability modeling framework. In this article, we analyze stochastic models of STCP and STCP combined with E-RED link behavior. We find that under certain plausible network conditions, these probabilistic models also exhibit scalable behavior. In particular, we derive parameter choice schemes for which the equilibrium coefficients of variation of flow rates are bounded, however large, fast, or complex the network. Our model is shown to exhibit behavior similar to the mean field convergence that has recently been observed in TCP.

Type
Research Article
Information
Probability in the Engineering and Informational Sciences , Volume 23 , Issue 4 , October 2009 , pp. 675 - 698
Copyright
Copyright © Cambridge University Press 2009

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