A near optimal scheduler for on-demand data broadcasts

  • Authors:
  • Hing-Fung Ting

  • Affiliations:
  • Department of Computer Science, The University of Hong Kong, Pokfulam Road, Hong Kong

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2008

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Abstract

On-demand data broadcasting is a new and important technique for information dissemination. In this paper, we design and analyse a novel online scheduler Balance for scheduling on-demand data broadcasts. Balance has competitive ratio 6@Dlog@D+O(@D^5^/^6), which improves significantly the previous best upper bound of @D+@D+2. We also prove that any online scheduler for the problem cannot have competitive ratio smaller than @D2ln@D-1. It follows that Balance is optimal within a constant factor.