Source model for VBR video traffic based on M/G/∞ input processes

Marwan M Krunz, Armand Makowski

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

22 Scopus citations

Abstract

Statistical evidence suggests that the autocorrelation function of a compressed-video sequence is better captured by ρ(k) = e-β√k than by ρ(k) = k = e-βlog k (long-range dependence) or ρ(k) = e-βk (Markovian). A video model with such a correlation structure is introduced based on the so-called M/G/∞ input processes. Though not Markovian, the model exhibits short-range dependence. Using the queueing performance under 'real' video traffic as a reference, we study via simulations the queueing performance under two video models: the M/G/∞ model and the fractional ARIMA (F-ARIMA) model (which exhibits LRD). Our results indicate that the M/G/∞ model is much more accurate in predicting the actual queueing performance than the F-ARIMA model. Furthermore, only O(n) computations are required to generate an M/G/∞ trace of length n, compared to O(n2) for a F-ARIMA trace.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE INFOCOM
Pages1441-1448
Number of pages8
Volume3
DOIs
Publication statusPublished - 1998
EventProceedings of the 1998 17th Annual IEEE Conference on Computer Communications, INFOCOM. Part 1 (of 3) - San Francisco, CA, USA
Duration: Mar 29 1998Apr 2 1998

Other

OtherProceedings of the 1998 17th Annual IEEE Conference on Computer Communications, INFOCOM. Part 1 (of 3)
CitySan Francisco, CA, USA
Period3/29/984/2/98

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Hardware and Architecture

Cite this

Krunz, M. M., & Makowski, A. (1998). Source model for VBR video traffic based on M/G/∞ input processes. In Proceedings - IEEE INFOCOM (Vol. 3, pp. 1441-1448) https://doi.org/10.1109/INFCOM.1998.662962