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

Sujeong Choi, Sang H. Kang, Bara Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We introduce a new stochastic process called 'Geo Y /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
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
Pages3259-3262
Number of pages4
DOIs
Publication statusPublished - 2005
EventIEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan
Duration: 2005 May 232005 May 26

Other

OtherIEEE International Symposium on Circuits and Systems 2005, ISCAS 2005
CountryJapan
CityKobe
Period05/5/2305/5/26

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Choi, S., Kang, S. H., & Kim, B. (2005). Packet scheduling based on Geoy Y /g/∞ input process modeling for streaming video In Proceedings - IEEE International Symposium on Circuits and Systems (pp. 3259-3262). [1465323] https://doi.org/10.1109/ISCAS.2005.1465323