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On the self-similar nature of Ethernet traffic (extended version)
Leland, W.E.; Taqqu, M.S.; Willinger, W.; Wilson, D.V.;
Networking, IEEE/ACM Transactions on
Volume 2,
Issue 1,
Feb. 1994
Page(s):1
-
15
Abstract:
Demonstrates 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. These 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. The authors 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
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