Modeling Local Scheduler Operation Based on Solution of Nonlinear Boolean Programming Problems

Modeling Local Scheduler Operation Based on Solution of Nonlinear Boolean Programming Problems

A simulation model of grid system operation is considered, which allows comparing available job scheduling methods. The mathematical description of the characteristics analyzed in the model is given. An example of problem solution based on sample group method is presented. The experimental results a...

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Veröffentlicht in:Cybernetics and systems analysis 2017-09, Vol.53 (5), p.766-775
Hauptverfasser: Listrovaya, E. S., Bryksin, V. A., Kurtsev, M. S.
Format: Artikel
Sprache:eng
Schlagworte:
Artificial Intelligence
Control
Linear programming
Mathematics
Mathematics and Statistics
Processor Architectures
Scheduling
Simulation models
Software Engineering/Programming and Operating Systems
Systems Theory
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Zusammenfassung:A simulation model of grid system operation is considered, which allows comparing available job scheduling methods. The mathematical description of the characteristics analyzed in the model is given. An example of problem solution based on sample group method is presented. The experimental results are obtained, which demonstrate the advantages of scheduling method based on the solution of Boolean linear programming problems.
ISSN:1060-0396
1573-8337
DOI:10.1007/s10559-017-9979-6