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 Jg. 53; H. 5; S. 766 - 775
Hauptverfasser: Listrovaya, E. S., Bryksin, V. A., Kurtsev, M. S.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.09.2017
Springer
Springer Nature B.V
Schlagworte:
Algorithms
Artificial Intelligence
Batch processing
Boolean
Control
Linear programming
Mathematics
Mathematics and Statistics
Processor Architectures
Scheduling
Simulation models
Software
Software Engineering/Programming and Operating Systems
Systems Theory
scheduling
cluster
grid systems
batch processing
sample group
resource
ISSN:1060-0396, 1573-8337
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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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1060-0396
1573-8337
DOI:10.1007/s10559-017-9979-6