Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10498
Title: A refined version of M/G/∞ processes for modelling VBR video traffic
Authors: Poon, WC
Lo, KT 
Keywords: EM algorithm
Normal mixture distribution
Traffic model
VBR video
Video model
Issue Date: 2001
Publisher: Elsevier
Source: Computer communications, 2001, v. 24, no. 11, p. 1105-1114 How to cite?
Journal: Computer communications 
Abstract: This paper presents a refined version of the M/G/∞ busy-server process described in IEEE J. Select. Areas Commun., 16(5) (1998) 733-748 for VBR video modelling, with emphasis on a refined fitting approach of marginal distribution. First we suggest using normal mixture distribution instead of Gamma-Pareto distribution to model the marginal distribution for greater flexibility and accuracy. Second, we retune the parameter value of the Poisson input process to ensure smooth distribution transformation. Experimental results indicate that our model gives closer estimate to the empirical cell loss behaviour than the original model. Also, its performance is more consistent than other uni-distribution models like Gamma and lognormal, when fitting a wide variety of video sequences.
URI: http://hdl.handle.net/10397/10498
ISSN: 0140-3664
EISSN: 1873-703X
DOI: 10.1016/S0140-3664(00)00325-X
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