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Article
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INFORMS Journal on Computing
Article . 1996 . Peer-reviewed
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Article . 2020
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Scheduling Periodic Tasks

Scheduling periodic tasks
Authors: Korst, J.H.M.; Aarts, E.H.L.; Lenstra, J.K.;

Scheduling Periodic Tasks

Abstract

We consider the problem of nonpreemptively scheduling periodic tasks on a minimum number of processors, assuming that the tasks have to be executed strictly periodically. We show that the problem is NP-complete in the strong sense, even in the case of a single processor, but that it is solvable in polynomial time if the periods and execution times are divisible. The latter condition generalizes the situation in which all periods and execution times are powers of 2. We also propose an approximation algorithm, which is based on successively assigning tasks to processors according to some priority rule.

Country
Netherlands
Keywords

Deterministic scheduling theory in operations research, nonpreemptively scheduling periodic tasks, minimum number of processors, approximation algorithm, NP-complete

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Average
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