Analysis of computer job control under uncertainty
Various policies for controlling jobs in a problem-oriented computer system are considered. The proposed algorithms belong to the class of search algorithms; they require a large (and, typically, unknown) amount of computations. The problem is to select a dynamic policy for redistributing resources...
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Veröffentlicht in: | Journal of computer & systems sciences international 2012-02, Vol.51 (1), p.49-64 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Various policies for controlling jobs in a problem-oriented computer system are considered. The proposed algorithms belong to the class of search algorithms; they require a large (and, typically, unknown) amount of computations. The problem is to select a dynamic policy for redistributing resources between jobs under uncertainty. The analysis of resource reallocation rules uses probability theory and computer simulation. |
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ISSN: | 1064-2307 1555-6530 |
DOI: | 10.1134/S1064230711060062 |