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Data network models of burstiness

  • Bernardo D' Auria
  • , S.I. Resnick

Research output: Contribution to journal › Article › Academic › peer-review

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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 languageEnglish
Pages (from-to)373-404
JournalAdvances in Applied Probability
Volume38
Issue number2
DOIs
Publication statusPublished - 2006

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