The chaotic nature of TCP congestion control (2000)
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@INPROCEEDINGS{Veres00thechaotic,
author = {Veres},
title = {The chaotic nature of TCP congestion control},
booktitle = {},
year = {2000},
pages = {1715--1723}
}
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Abstract
Abstract- In this paper we demonstrate how TCP congestion control can show chaotic behavior. We demonstrate the major features of chaotic systems in TCPlIP networks with examples. These features include un-predictability, extreme sensitivity to initial conditions and odd periodicity. Previous work has shown the fractal nature of aggregate TCPAP traffic and one explanation to this phenomenon was that traffic can be approxi-mated by a large number of ON/OFF sources where the random ON and/or OFF periods are of length described by a heavy tailed distribution. In this paper we show that this argument is not necessary to explain self-similarity, neither randomness is required. Rather, TCP itself as a deter-ministic process creates chaos, which generates self-similarity. This prop-erty is inherent in todays TCPlIP networks and it is independent of higher layer applications or protocols. The two causes: heavy tailed ONlOFF and chaotic TCP together contribute to the phenomena, called fractal nature of Internet traffic. Keywords-TCP congestion control, fractal traffic, chaotic models. I.
