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A doubly stochastic Poisson model for self-similar traffic
Concordia University.ORCID iD: 0000-0001-9697-9978
Concordia University.
1995 (English)In: IEEE International Conference on Communications, 1995, 456-460 p.Conference paper (Refereed)
Abstract [en]

This paper presents a data traffic model capable of describing the long-range dependence and self-similar burstiness structure found in measurement studies of packet data traffic. The model introduced is based on doubly stochastic Poisson processes. The intensity of arrivals is modeled as a continuous stochastic process. This process satisfies most of the properties found in the measurement studies, namely long-range dependence and self-similarity. The generality and simplicity of this model makes it attractive in data traffic modeling

Place, publisher, year, edition, pages
1995. 456-460 p.
National Category
Communication Systems
Research subject
URN: urn:nbn:se:kth:diva-49744DOI: 10.1109/ICC.1995.525211OAI: diva2:460212
Proceedings of the 1995 IEEE International Conference on Communications. Part 1 (of 3); Seattle, WA, USA; 18 June 1995 through 22 June 1995
QC 20111130Available from: 2011-11-29 Created: 2011-11-29 Last updated: 2011-11-30Bibliographically approved

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Ben Slimane, Slimane
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ReferencesLink to record
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