A refined version of M/G/∞ processes for modelling VBR video traffic

被引:17
作者
Poon, WC [1 ]
Lo, KT [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Elect & Informat Engn, Hong Kong, Hong Kong, Peoples R China
关键词
video model; traffic model; VBR video; normal mixture distribution; EM algorithm;
D O I
10.1016/S0140-3664(00)00325-X
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 [计算机科学与技术];
摘要
This paper presents a refined version of the M/G/infinity 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 unidistribution models like Gamma and lognormal, when fitting a wide variety of video sequences. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:1105 / 1114
页数:10
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