Data network models of burstiness

Bernardo D' Auria; S.I. Resnick

doi:10.1239/aap/1151337076

Data network models of burstiness

Bernardo D' Auria, S.I. Resnick

Eurandom

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Abstract

We review characteristics of data traffic which we term stylized facts: burstiness, long-range dependence, heavy tails, bursty behavior determined by high-bandwidth users, and dependence determined by users without high transmission rates. We propose an infinite-source Poisson input model which supplies traffic in adjacent time slots. We study properties of the model as slot width decreases and traffic intensity increases. This model has the ability to account for many of the stylized facts.

Original language	English
Pages (from-to)	373-404
Journal	Advances in Applied Probability
Volume	38
Issue number	2
DOIs	https://doi.org/10.1239/aap/1151337076
Publication status	Published - 2006

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title = "Data network models of burstiness",

abstract = "We review characteristics of data traffic which we term stylized facts: burstiness, long-range dependence, heavy tails, bursty behavior determined by high-bandwidth users, and dependence determined by users without high transmission rates. We propose an infinite-source Poisson input model which supplies traffic in adjacent time slots. We study properties of the model as slot width decreases and traffic intensity increases. This model has the ability to account for many of the stylized facts.",

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JO - Advances in Applied Probability

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Data network models of burstiness

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