Modeling one- and two-layer variable bit rate video

This paper presents a source model for VBR video traffic. A finite-state Markov chain is shown to accurately model one- and two-layer video of all activity levels on a per source basis. Our model captures the source dynamics, including the short-term correlations essential for studying network perfo...

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Bibliographic Details
Published inIEEE/ACM transactions on networking Vol. 7; no. 3; pp. 398 - 413
Main Authors Chandra, K., Reibman, A.R.
Format Journal Article
LanguageEnglish
Published IEEE 01.06.1999
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Summary:This paper presents a source model for VBR video traffic. A finite-state Markov chain is shown to accurately model one- and two-layer video of all activity levels on a per source basis. Our model captures the source dynamics, including the short-term correlations essential for studying network performance. The modeling technique is shown to be applicable for both H.261 and MPEG2 encoded video of a variety of activity levels. The traffic model is shown in a simulation study to be able to accurately characterize both the single-source buffer occupancy over a wide range of buffer sizes and the multiplexing behavior. The VBR video model is also used to model the enhancement layer of two-layer SNR scalable video. We show that two-layer encoding has significantly better statistical multiplexing gains than one-layer video, particularly when the network admits calls based on a leaky-bucket characterization.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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content type line 23
ISSN:1063-6692
1558-2566
DOI:10.1109/90.779209