Internet traffic modeling and future technology implications
Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 587-596 |
Journal / Publication | Proceedings - IEEE INFOCOM |
Volume | 1 |
Publication status | Published - 2003 |
Conference
Title | 22nd Annual Joint Conference on the IEEE Computer and Communications Societies |
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Place | United States |
City | San Francisco, CA |
Period | 30 March - 3 April 2003 |
Link(s)
Abstract
This paper presents the Poisson Pareto burst process (PPBP) as a simple but accurate model for Internet traffic. It presents formulae relating the parameters of the PPBP to measurable traffic statistics, and describes a technique for fitting the PPBP to a given traffic stream. The PPBP is shown to accurately predict the queueing performance of a sample trace of aggregated Internet traffic. We predict that in few years, natural growth and statistical multiplexing will lead to an efficient optical Internet.
Citation Format(s)
Internet traffic modeling and future technology implications. / Zukerman, Moshe; Neame, Timothy D.; Addie, Ronald G.
In: Proceedings - IEEE INFOCOM, Vol. 1, 2003, p. 587-596.
In: Proceedings - IEEE INFOCOM, Vol. 1, 2003, p. 587-596.
Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal