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

Sujeong Choi, Sang H. Kang, Bara Kim

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


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
Issue number5
StatePublished - May 2005


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


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