Smoothing, statistical multiplexing, and call admission control for stored video

Zhi Li Zhang, J. Kurose, J. D. Salehi, D. Towsley

Research output: Contribution to journalArticlepeer-review

102 Scopus citations


Variable bit-rate (VBR) compressed video is known to exhibit significant, multiple-time-scale rate variability. A number of researchers have considered transmitting stored video from a server to a client using smoothing algorithms to reduce this rate variability. These algorithms exploit client buffering capabilities and determine a "smooth" rate transmission schedule, while ensuring that a client buffer neither overflows nor underflows. In this paper, we investigate how video smoothing impacts the statistical multiplexing gains available with such traffic, and we show that a significant amount of statistical multiplexing gains can still be achieved. We then examine the implication of these results on network resource management and call admission control when transmitting smoothed stored video using VBR service with statistical quality-of-service (QoS) guarantees. Specifically, we present a uniform call admission control scheme based on a Chernoff bound method that uses a simple, novel traffic model requiring only a few parameters. This scheme provides an easy and flexible mechanism for supporting multiple VBR service classes with different QoS requirements. We evaluate the efficacy of the call admission control scheme over a set of MPEG-1 coded video traces.

Original languageEnglish (US)
Pages (from-to)1148-1166
Number of pages19
JournalIEEE Journal on Selected Areas in Communications
Issue number6
StatePublished - Aug 1997
Externally publishedYes

Bibliographical note

Funding Information:
Manuscript received April 30, 1996, revised December 27, 1996. The work of Z.-L. Zhang was supported in part by the National Science Foundation under Grant NSF-CCR-9119922. Z.-L. Zhang was with the University of Massachusetts, Amherst, MA. He is now with the Department of Computer Science, University of Minnesota at Twin Cities, Minneapolis, MN 55455-0159 USA. J. Kurose, J. D. Salehi, and D. Towsley are with the Department of Computer Science, University of Massachusetts, Amherst, MA 01003 USA. Publisher Item Identifier S 0733-8716(97)04188-7.


  • Call admission control
  • MPEG compression
  • Multiple time scales
  • Parsimonious models
  • Statistical multiplexing gains
  • Stochastic ordering
  • Stored video
  • Traffic specification
  • Video smoothing

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