Heuristic Algorithms for Scheduling Independent Tasks on Nonidentical Processors

Authors:
Oscar H. Ibarra;Chul E. Kim
Affiliations:
Department of Computer Science, University of Minnesota, Minneapolis, MN;Department of Computer Science, University of Maryland, College Park, MD
Venue:
Journal of the ACM (JACM)
Year:
1977

Citing 3
Cited 137

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Abstract

The finishing time properties of several heuristic algorithms for scheduling n independent tasks on m nonidentical processors are studied. In particular, for m = 2 an n log n time-bounded algorithm is given which generates a schedule having a finishing time of at most (√5 + 1)/2 of the optimal finishing time. A simplified scheduling problem involving identical processors and restricted task sets is shown to be P-complete. However, the LPT algorithm applied to this problem yields schedules which are near optimal for large n.