Competitive distributed job scheduling (extended abstract)

  • Authors:
  • Baruch Awerbuch;Shay Kutten;David Peleg

  • Affiliations:
  • Dept. of Mathematics and Lab. for Computer Science, M.I.T., Cambridge, MA;IBM T.J. Watson Research Center, Yorktown Heights, NY;Department of Applied Mathematics and Computer Science, The Weizmann Institute, Rehovot 76100, Israel

  • Venue:
  • STOC '92 Proceedings of the twenty-fourth annual ACM symposium on Theory of computing
  • Year:
  • 1992

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Abstract

This paper examines the problem of balancing the job load in a network of processors, and introduces an online algorithm for scheduling a sequence of jobs in a competitive manner. The algorithm is shown to be polylog (n)-competitive according to a strict definition that forces the online algorithm to be competitive even when considering any bounded area of the network and bounded period of time.We also analyze the common greedy feedback-based approach, and provide matching lower and upper bounds (up to a polylogarithmic factor) for the tradeoff between the costs of searches and updates under this approach.