Packet scheduling based on GeoyY /g/∞ input process modeling for streaming video

Sujeong Choi, Sang H. Kang, Bara Kim

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

We introduce a new stochastic process called '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-minute long movie traces, we show that our proposed scheduling scheme outperforms existing schemes based on fractional Brownian motion and Markovian models.

Original languageEnglish
Article number1465323
Pages (from-to)3259-3262
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
DOIs
Publication statusPublished - 2005
EventIEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan
Duration: 2005 May 232005 May 26

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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