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

Wai Chung Poon, Kwok Tung Lo

Research output: Journal article publicationJournal articleAcademic researchpeer-review

17 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)1105-1114
Number of pages10
JournalComputer Communications
Volume24
Issue number11
DOIs
Publication statusPublished - 15 Jun 2001

Keywords

  • EM algorithm
  • Normal mixture distribution
  • Traffic model
  • VBR video
  • Video model

ASJC Scopus subject areas

  • Computer Networks and Communications

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