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On the minimum number of processors for scheduling problems with communicationdelays

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  • A. Moukrim

Abstract

Scheduling problems with interprocessor communication delays are recent problemsarising with the development of new message‐passing architectures whose number of processorsis increasing more and more. The scheduling problem with communication delays isNP‐complete even on an unlimited number of processors, and most of the restrictions whichare known to make the problem easy suppose that the number of processors is unlimited.The aim of this paper is to estimate the minimum number of processors required to realizea schedule that minimizes the makespan for problems with communication delays. Contraryto problems without communication costs, we show that the minimum number of partitioningpaths of tasks is not an upper bound. Then we propose two upper bounds b and b whichare valid independent of task processing times and communication costs. We show thatb can be calculated in O(n 2 ) if n designates the number of tasks. Then we give an algorithmfor determining b in the special case when the precedence graph is an in‐tree or anout-tree. A specific study of SCT task systems (Small Communication Time) shows that theachromatic number of the cocomparability graph is an upper bound on the minimum numberof processors. Copyright Kluwer Academic Publishers 1999

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  • A. Moukrim, 1999. "On the minimum number of processors for scheduling problems with communicationdelays," Annals of Operations Research, Springer, vol. 86(0), pages 455-472, January.
    • Handle: RePEc:spr:annopr:v:86:y:1999:i:0:p:455-472:10.1023/a:1018931508072
    DOI: 10.1023/A:1018931508072
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    Cited by:

    1. Kravchenko, Svetlana A. & Werner, Frank, 2009. "Minimizing the number of machines for scheduling jobs with equal processing times," European Journal of Operational Research, Elsevier, vol. 199(2), pages 595-600, December.
    2. Finke, Gerd & Lemaire, Pierre & Proth, Jean-Marie & Queyranne, Maurice, 2009. "Minimizing the number of machines for minimum length schedules," European Journal of Operational Research, Elsevier, vol. 199(3), pages 702-705, December.

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