Statistical admission control for soft real-time VOD servers

Sooyong Kang, Heon Y. Yeom

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

7 Citations (Scopus)


To fully utilize the resources with soft real-time video-on-demand servers, statistical admission control is widely used. There have been several models to capture the nature of bit rate variability of the video data. However, when the video server employs caching, the resulting workload exhibits different characteristics. In this paper, we present a probabilistic model to analyze the video server workload. Our model enables the quantitative analysis of the disk load reduction induced by caching so that the caching effect can be reflected in the admission control. Using this model, it is possible to design a statistical admission control which provides a probabilistic guarantee for the jitter free playback.

Original languageEnglish
Title of host publicationProceedings of the 2000 ACM Symposium on Applied Computing, SAC 2000
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Number of pages6
ISBN (Print)1581132409, 9781581132403
Publication statusPublished - 2000
Externally publishedYes
Event2000 ACM Symposium on Applied Computing, SAC 2000 - Como, Italy
Duration: 19 Mar 200021 Mar 2000


Other2000 ACM Symposium on Applied Computing, SAC 2000


  • Admission control
  • Caching
  • Video-on-Demand


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