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Data network models of burstiness
Published online by Cambridge University Press: 01 July 2016
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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- General Applied Probability
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- Copyright © Applied Probability Trust 2006
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