A Markovian approach for modeling packet traffic with long-range dependence.

We present a simple Markovian framework for modeling packet traffic with variability over several time scales. We present a fitting procedure for matching second-order properties of counts to that of a second-order self-similar process. Our models essentially consist of superpositions of two-state M...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE Journal on selected areas in communications 16, 5 (1998).
1. Verfasser:	Andersen, A.T
Format:	Artikel
Sprache:	English
Schlagworte:	Markov modulated Poisson processes. Counting process. Fitting procedure. Four two-state MMPP. Interarrival time correlations. Long-range dependence. Packet traffic modelling. Second-order properties. Second-order self-similar process. Superpositions. Time scales. Two-state MMPP.