Tradeoff between Performance and Computation for Prediction of Real-Time MPEG Video Traffic

Yu Shuang Yang*, Bore Kuen Lee, Bor Sen Chen, Tsern-Huei Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The performance issues and computation power consumptions of several prediction algorithms far real-time MPEG video are discussed on the paper. The real time MPEG traffic is most important application on broadband video application both on ATM or IP network. The characteristics of MPEG video traffic is burst, long-range dependent, and non-stationary with trend and periodicity. As the statistics of the underlying processes are either unavailable or uncertain in real-time applications, an effective prediction algorithm is helpful for user equipment to capture the real-time variant traffic. The time-invariant H2/H filtering algorithm is suggested to estimate traffic parameters for long-range prediction of the MPEG traffic. Simulation results based on real MPEG traffic data show that the time-varying trend, the periodic components, and the long-range dependence property can be splendidly predicted and captured by the proposed method. Compared with the time-varying H, filter and the time delay neural network (TDNN), the proposed scheme has the best compromise between prediction performance and computation cost for long-range prediction of the MPEG video traffic.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Communications in Computing, CIC 03
EditorsB.J. d' Auriol
Pages242-248
Number of pages7
StatePublished - 1 Dec 2003
EventProceedings of the International Conference on Communications in Computing, CIC'03 - Las Vegas, NV, United States
Duration: 23 Jun 200326 Jun 2003

Publication series

NameProceedings of the International Conference on Communications in Computing

Conference

ConferenceProceedings of the International Conference on Communications in Computing, CIC'03
CountryUnited States
CityLas Vegas, NV
Period23/06/0326/06/03

Keywords

  • ATM network
  • H/H filter
  • MPEG video
  • Performance issue
  • Traffic prediction

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