An analytically tractable model for video conference traffic

We propose an analytically tractable approach to model compressed video traffic called C-DAR(1). The C-DAR(1) model combines an approach utilizing a discrete-time Markov chain with a continuous-time Markov chain. We show that this approach accurately models the distribution and exponential autocorre...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems for video technology 2000-02, Vol.10 (1), p.63-67
Main Authors: Xu, Shugong, Huang, Zailu, Yao, Yan
Format: Article
Language:English
Subjects:
Analytical models
Applied sciences
Asynchronous transfer mode
Autocorrelation
Cities and towns
Coding, codes
Exact sciences and technology
Fluctuations
Information, signal and communications theory
Queueing analysis
Signal and communications theory
Systems, networks and services of telecommunications
Telecommunication traffic
Telecommunications
Telecommunications and information theory
Teletraffic
Traffic control
Video compression
Videoconference
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Summary:We propose an analytically tractable approach to model compressed video traffic called C-DAR(1). The C-DAR(1) model combines an approach utilizing a discrete-time Markov chain with a continuous-time Markov chain. We show that this approach accurately models the distribution and exponential autocorrelation characteristics of video conferencing traffic. Also, we show that by comparing our analytical results against a simulation using actual video conferencing data, our model provides realistic results. In addition to presenting this new approach, we address the effects of long-range dependencies (LRD) in the video traffic. Based on our analytical and simulation results, we are able to conclude that the LRD have minimal impact on videoconference traffic modeling.
ISSN:1051-8215
1558-2205
DOI:10.1109/76.825860