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...

Descrizione completa

Dettagli Bibliografici

Pubblicato in:	IEEE Journal on selected areas in communications 16, 5 (1998).
Autore principale:	Andersen, A.T
Natura:	Articolo
Lingua:	English
Soggetti:	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.