On-demand bounded broadcast scheduling with tight deadlines

  • Authors:
  • Chung Keung Poon;Feifeng Zheng;Yinfeng Xu

  • Affiliations:
  • Department of Computer Science, City University of Hong Kong, Hong Kong;School of Management, Xi'an Jiaotong University, Xi'an, Shaanxi, China;School of Management, Xi'an Jiaotong University, Xi'an, Shaanxi, China

  • Venue:
  • CATS '06 Proceedings of the 12th Computing: The Australasian Theroy Symposium - Volume 51
  • Year:
  • 2006

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Abstract

We investigate a scheduling problem motivated by pull-based data delivering systems where there is a server keeping a number of pages; and clients requesting the same page can be satisfied simultaneously by one broadcast.The HEU algorithm of Woeginger (1994) is proven to be optimal in maximizing the number of satisfied requests when the pages have equal length and the requests have tight deadlines. However, we show that when there are maximum bounds on the number and weight of requests at any time in the system, the HEU algorithm is not optimal. We then propose a modified algorithm, VAR, which is optimal for this case.