On the self-similar nature of Ethernet traffic (extended version)
Leland, W.E.
Taqqu, M.S.
Willinger, W.
Wilson, D.V.
Bellcore, Morristown, NJ;
This paper appears in: Networking, IEEE/ACM Transactions on
Publication Date: Feb 1994
Volume: 2,
Issue: 1
On page(s): 1-15
ISSN: 1063-6692
References Cited: 29
CODEN: IEANEP
INSPEC Accession Number: 4699937
Digital Object Identifier: 10.1109/90.282603
Current Version Published: 2002-08-06
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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