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...

詳細記述

書誌詳細

出版年:	IEEE Journal on selected areas in communications 16, 5 (1998).
第一著者:	Andersen, A.T
フォーマット:	論文
言語:	English
主題:	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.