Supporting stored video: Reducing rate variability and end-to-end resource requirements through optimal smoothing

James D. Salehi, Zhi Li Zhang, Jim Kurose, Don Towsley

Research output: Contribution to journalArticlepeer-review

229 Scopus citations

Abstract

Variable-bit-rate (VBR) compressed video can exhibit significant multiple-time-scale bit-rate variability. In this paper we consider the transmission of stored video from a server to a client across a network, and explore how the client buffer space can be used most effectively toward reducing the variability of the transmitted bit rate. Two basic results are presented. First, we show how to achieve the greatest possible reduction in rate variability when sending stored video to a client with given buffer size. We formally establish the optimality of our approach and illustrate its performance over a set of long MPEG-1 encoded video traces. Second, we evaluate the impact of optimal smoothing on the network resources needed for video transport, under two network service models: deterministic guaranteed service [1], [31] and renegotiated constant-bit-rate (RCBR) service [9]. Under both models, the impact of optimal smoothing is dramatic.

Original languageEnglish (US)
Pages (from-to)397-410
Number of pages14
JournalIEEE/ACM Transactions on Networking
Volume6
Issue number4
DOIs
StatePublished - 1998

Bibliographical note

Funding Information:
Manuscript received July 22, 1996; revised February 19, 1998; approved by IEEE/ACM TRANSACTIONS ON NETWORKING Editor J. Bolot. This work was supported by the National Science Foundation under Grant NCR-9206908, Grant CDA-9502639, and Grant CCR-9119922, and by the Advanced Research Projects Agency under ESD/AVS Contract F-19628-92-C-0089. J. D. Salehi is at 2025 W. Middlefield Rd., Mountain View, CA 94040 USA (e-mail: jim_salehi@yahoo.com). Z.-L. Zhang is with the Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455 USA. J. Kurose and D. Towsley are with the Department of Computer Science, University of Massachusetts, Amherst, MA 01003-4610 USA. Publisher Item Identifier S 1063-6692(98)06689-8.

Keywords

  • Computer network performance
  • Computer networks
  • Interactive TV
  • Multimedia communication
  • Multimedia systems
  • Network operating systems
  • Network servers

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