On the Self-similar Nature of Ethernet Traffic (Extended Version)

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On the Self-similar Nature of Ethernet Traffic (Extended Version) (1994)

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by Will E. Leland , Murad S. Taqqu , Walter Willinger , Daniel V. Wilson

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2211 - 46 self

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@MISC{Leland94onthe,
    author = {Will E. Leland and Murad S. Taqqu and Walter Willinger and Daniel V. Wilson},
    title = {On the Self-similar Nature of Ethernet Traffic (Extended Version)},
    year = {1994}
}

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Abstract

We demonstrate that Ethernet LAN traffic is statistically self-similar, that none of the commonly used traffic models is able to capture this fractal-like behavior, that such behavior has serious implications for the design, control, and analysis of high-speed, cell-based networks, and that aggregating streams of such traffic typically intensifies the self-similarity (“burstiness”) instead of smoothing it. Our conclusions are supported by a rigorous statistical analysis of hundreds of millions of high quality Ethernet traffic measurements collected between 1989 and 1992, coupled with a discussion of the underlying mathematical and statistical properties of self-similarity and their relationship with actual network behavior. We also present traffic models based on self-similar stochastic processes that provide simple, accurate, and realistic descriptions of traffic scenarios expected during B-ISDN deployment.

Keyphrases

ethernet traffic extended version self-similar nature traffic model self-similar stochastic process b-isdn deployment serious implication statistical property cell-based network traffic scenario rigorous statistical analysis fractal-like behavior high quality ethernet traffic measurement realistic description actual network behavior ethernet lan traffic

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