A Grid-Inspired Mechanism for Coarse-Grained Experiment Execution

Stochastic simulations may require many replications until their results are statistically significant. Each replication corresponds to a standalone simulation job, so that these can be computed in parallel. This paper presents a grid-inspired approach to distribute such independent jobs over a set...

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Bibliographic Details
Published in2008 12th IEEE/ACM International Symposium on Distributed Simulation and Real-Time Applications pp. 7 - 16
Main Authors Leye, S., Himmelspach, J., Jeschke, M., Ewald, R., Uhrmacher, A.M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2008
Subjects
Analytical models
Application software
Computational modeling
Computer science
Computer simulation
Concurrent computing
discrete event simulation
Distributed computing
grid
Grid computing
parallel and distributed simulation
Partitioning algorithms
Resource management
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ISBN0769534252
9780769534251
ISSN1550-6525
DOI10.1109/DS-RT.2008.33

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Summary:Stochastic simulations may require many replications until their results are statistically significant. Each replication corresponds to a standalone simulation job, so that these can be computed in parallel. This paper presents a grid-inspired approach to distribute such independent jobs over a set of computing resources that host simulation services, all of which are managed by a central master service. Our method is fully integrated with alternative ways of distributed simulation in JAMES II, hides all execution details from the user, and supports the coarse-grained parallel execution of any sequential simulator available in JAMES II. A thorough performance analysis of the new execution mode illustrates its efficiency.
ISBN:0769534252
9780769534251
ISSN:1550-6525
DOI:10.1109/DS-RT.2008.33