A unified analysis of hot video schedulers

  • Authors:
  • Wun-Tat Chan;Tak-Wah Lam;Hing-Fung Ting;Wai-Ha Wong

  • Affiliations:
  • Hong Kong Polytechnic University, Hong Kong;University of Hong Kong, Hong Kong;Hong Kong RGC;Hong Kong RGC

  • Venue:
  • STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
  • Year:
  • 2002

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Abstract

In this paper we consider the notion of relative competitive analysis, which is a simple generalization of the conventional competitive analysis and extra-resource analysis for on-line algorithms. We apply this analysis to study on-line schedulers for stream merging in two different video-on-demand (VOD) systems, which are based on two common approaches, namely, piggybacking and skimming. Our new analysis, in its simplest form, reveals a 3-competitive algorithm for stream merging based on skimming as well as piggybacking. This improves all previous results [4, 8]. We also show how to obtain guarantee on the performance improvement based on adding extra resources, and more interestingly, we provide a unified methodology to compare piggybacking and skimming. We believe that our result gives a clue to system designers for choosing desirable configurations.