Video traffic modeling by truncated GeoY/G/∞ input process with gamma-distributed batches Y*

Sang Hyuk Kang, Min Young Chung, Bara Kim

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this letter, we propose a video traffic model based on a class of stochastic processes, which we call truncated GeoY/G/∞ input processes. Group of picture (GOP) size traces are modeled by truncated Geo Y/G/∞ input process with gamma-distributed batch sizes Y and Weibull-like autocorrelation function. With full-length MPEG-4 video traces in QCIF, we run simulations to show that our proposed model estimates packet loss ratios at various traffic loads more accurately than existing modeling methods.

Original languageEnglish
Pages (from-to)2980-2982
Number of pages3
JournalIEICE Transactions on Communications
VolumeE91-B
Issue number9
DOIs
Publication statusPublished - 2008 Dec 1

Keywords

  • Geo/g/∞ input process
  • Multimedia transmission
  • Scheduling
  • Video traffic modeling

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Software

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