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An analytically tractable model for video conference traffic

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3 Author(s)
Shugong Xu ; Dept. of Electron. & Inf. Eng., Huzhong Univ. of Sci. & Technol., Wuhan, China ; Zailu Huang ; Yan Yao

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

Published in:

IEEE Transactions on Circuits and Systems for Video Technology  (Volume:10 ,  Issue: 1 )