Streaming video packet scheduling by geoY/G/∞ input process modeling

Sujeong Choi, Sang H. Kang, Bara Kim

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

We introduce GeoY/G/∞ input process with beta-distributed batch size and Weibull-like autocorrelation function in order to model video traffic. Investigating the overflow probability of queueing system by large deviation theory, we develop a streaming scheduling algorithm by applying the overflow analysis result to estimating the packet deadline-missing probability. Through experiments with 30-second long movie traces, we show that our proposed scheduling scheme outperforms existing schemes based on fractional Brownian motion and Markovian models.

Original languageEnglish
Pages (from-to)474-476
Number of pages3
JournalIEEE Communications Letters
Volume9
Issue number5
DOIs
Publication statusPublished - 2005 May

Keywords

  • Geo/G/∞ input process
  • Packet scheduling
  • Streaming media

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Streaming video packet scheduling by geo<sup>Y</sup>/G/∞ input process modeling'. Together they form a unique fingerprint.

  • Cite this