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Markov-modulated self-similar processes: MPEG coded video traffic modeler and synthesizer

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3 Author(s)
Hai Liu ; Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA ; Ansari, N. ; Shi, Y.Q.

Markov modulated self-similar processes are proposed to model MPEG video sequences that can capture the LRD (long range dependency) characteristics of video ACF (auto-correlation function). An MPEG compressed video sequence is decomposed into three parts according to different motion/change complexity such that each part can individually be described by a self-similar process. Beta distribution is used to characterize the marginal cumulative distribution function (CDF) of each self-similar processes, and Markov chain is used to govern the transition among these three self-similar processes. Network cell loss rate using our proposed synthesized traffic is found to be comparable with that using empirical data as the source traffic

Published in:

Global Telecommunications Conference, 1999. GLOBECOM '99  (Volume:2 )

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