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A doubly stochastic Poisson model for self-similar traffic

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2 Author(s)
Slimane, S.B. ; Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada ; Le-Ngoc, T.

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

Published in:

Communications, 1995. ICC '95 Seattle, 'Gateway to Globalization', 1995 IEEE International Conference on  (Volume:1 )

Date of Conference:

18-22 Jun 1995