Accurate analytical model for MPEG coded video traffic

H. Liu, N. Ansari, Y. Q. Shi

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Traffic generated by video applications is increasingly cramming existing networks, and it is thus essential to accurately characterize video traffic for efficient network management. Traditional models, however, fall short in describing video traffic which is strongly autocorrelated and bursty. hence, autocorrelations among data should be taken into consideration. Self-similar processes, modulated according to the Motion Picture Experts Group group of pictures (MPEG GOP) structure, are proposed to accurately capture the short range dependency (SRD) and long range dependency (LRD) of MPEG video traffic.

Original languageEnglish (US)
Pages (from-to)1449-1450
Number of pages2
JournalElectronics Letters
Volume35
Issue number17
DOIs
StatePublished - Aug 19 1999

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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