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Cluster Computing and the Grid, IEEE International Symposium on (2008)
May 19, 2008 to May 22, 2008
ISBN: 978-0-7695-3156-4
pp: 560-565
ABSTRACT
Multi-agent based simulation (MABS) is a discrete event simulation technique used to study complex systems with entities having social and autonomous behavior. MABS applications are characterized by unpredictable execution behavior and high communication-to-computation ratio. In this paper, we propose an adaptation strategy to support efficient execution of large-scale MABS applications on typical Grid infrastructures. To achieve this objective, the behavior of MABS applications and the execution environment is investigated, in order to constantly obtain performance prediction models. These models will then be used to realize dynamic load balancing and resource allocation schemes. We discuss our basic approach, initial experimental results, the planned future research and an application of our research in the transportation and logistics simulation domain.
INDEX TERMS
Grid computing, Multi-agent based simulation, Performance optimization, Performance prediction
CITATION

D. Mengistu and P. Tr?ger, "Performance Optimization for Multi-agent Based Simulation in Grid Environments," 2008 8th International Symposium on Cluster Computing and the Grid (CCGRID '08)(CCGRID), Lyon, 2008, pp. 560-565.
doi:10.1109/CCGRID.2008.114
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