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On the self-similar nature of Ethernet traffic (extended version)

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4 Author(s)
Leland, W.E. ; Bellcore, Morristown, NJ, USA ; Taqqu, M.S. ; Willinger, W. ; Wilson, D.V.

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

Published in:

Networking, IEEE/ACM Transactions on  (Volume:2 ,  Issue: 1 )