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

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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Bibliographic Details
Published in:IEEE Journal on selected areas in communications 16, 5 (1998).
Main Author: Andersen, A.T
Format: Article
Language:English
Subjects:
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.