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Performance evaluation of multiple time scale TCP under self-similar traffic conditions by Kihong Park; Tsunyi Tuan is a Computer Science article available to read on EtoBox.

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Measurements of network traffic have shown that self-similarity is a ubiquitous phenomenon spanning across diverse network environments. In previous work, we have explored the feasibility of exploiting long-range correlation structure in self-similar traffic for congestion control. We have advanced the framework of multiple time scale congestion control and shown its effectiveness at enhancing performance for rate-based feedback control. In this article, we extend the multiple time scale control framework to window-based congestion control, in particular, TCP. This is performed by interfacing TCP with a large time scale module that adjusts the aggressiveness of bandwidth consumpton behavior exhibited by TCP as a function of large time scale network state, that is, information that exceeds the time horizon of the feedback loop as determined by RTT. How to effectively utilize such information—due to its probabilistic nature, dispersion over multiple time scales, and realization on top of existing window-based congestion controls—is a nontrivial problem. First, we define a modular extension of TCP (a function call with a simple interface that applies to various flavors of TCP, e.g., T

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Author

Kihong Park; Tsunyi Tuan

Publisher

Association for Computing Machinery; Association for Computing Machinery (ACM) (ISSN 1049-3301)

Published

2000

Language

EN

Field

Computer Science (Physical Sciences)