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Conference Papers Year : 2012

Minimizing Weighted Mean Completion Time for Malleable Tasks Scheduling

Abstract

Malleable tasks are jobs that can be scheduled with preemptions on a varying number of resources. We focus on the special case of work-preserving malleable tasks, for which the area of the allocated resources does not depend on the allocation and is equal to the sequential processing time. Moreover, we assume that the number of resources allocated to each task at each time instant is bounded. We consider both the clairvoyant and non-clairvoyant cases, and we focus on minimizing the weighted sum of completion times. In the weighted non-clairvoyant case, we propose an approximation algorithm whose ratio (2) is the same as in the unweighted non-clairvoyant case. In the clairvoyant case, we provide a normal form for the schedule of such malleable tasks, and prove that any valid schedule can be turned into this normal form, based only on the completion times of the tasks. We show that in these normal form schedules, the number of preemptions per task is bounded by 3 on average. At last, we analyze the performance of greedy schedules, and prove that optimal schedules are greedy for a special case of homogeneous instances. We conjecture that there exists an optimal greedy schedule for all instances, which would greatly simplify the study of this problem. Finally, we explore the complexity of the problem restricted to homogeneous instances, which is still open despite its simplicity.
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Dates and versions

inria-00564056 , version 1 (07-02-2011)
inria-00564056 , version 2 (30-09-2011)

Identifiers

  • HAL Id : inria-00564056 , version 2

Cite

Olivier Beaumont, Nicolas Bonichon, Lionel Eyraud-Dubois, Loris Marchal. Minimizing Weighted Mean Completion Time for Malleable Tasks Scheduling. IPDPS 2012, 26th IEEE International Parallel & Distributed Processing Symposium, May 2012, Shangai, China. ⟨inria-00564056v2⟩
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