Replicating Parallel Simulation on Heterogeneous Clusters

An effective approach of replicating parallel discrete-event simulation on heterogeneous workstation clusters is presented. In this approach, each replication of parallel simulation known as replicated parallel simulator (RPS) can reconfigure adaptively according to runtime resource availability. RP...

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Main Author: SHUM, Kam Hong
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Language:English
Published: Institutional Knowledge at Singapore Management University 1998
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Online Access:https://ink.library.smu.edu.sg/sis_research/1068
http://dx.doi.org/10.1016/S1383-7621(97)00041-6
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spelling sg-smu-ink.sis_research-20672010-12-22T08:24:06Z Replicating Parallel Simulation on Heterogeneous Clusters SHUM, Kam Hong An effective approach of replicating parallel discrete-event simulation on heterogeneous workstation clusters is presented. In this approach, each replication of parallel simulation known as replicated parallel simulator (RPS) can reconfigure adaptively according to runtime resource availability. RPSs compete with other applications for computing resources in a shared-network environment of workstation clusters through a runtime system called Comedians. This approach aims to combine the benefits of parallelism and replication so that overall simulation performance can be enhanced. Experimental studies presented in this paper exhibit the effectiveness and the adaptability of the approach with different scheduling policies. The studies also show that coalition formation among the RPSs can further improve simulation performance and avoid counter-productive competition. 1998-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/1068 info:doi/10.1016/S1383-7621(97)00041-6 http://dx.doi.org/10.1016/S1383-7621(97)00041-6 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Parallel simulation Workstation cluster Replication Parallel workload scheduling Auction Databases and Information Systems Numerical Analysis and Scientific Computing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Parallel simulation
Workstation cluster
Replication
Parallel workload scheduling
Auction
Databases and Information Systems
Numerical Analysis and Scientific Computing
spellingShingle Parallel simulation
Workstation cluster
Replication
Parallel workload scheduling
Auction
Databases and Information Systems
Numerical Analysis and Scientific Computing
SHUM, Kam Hong
Replicating Parallel Simulation on Heterogeneous Clusters
description An effective approach of replicating parallel discrete-event simulation on heterogeneous workstation clusters is presented. In this approach, each replication of parallel simulation known as replicated parallel simulator (RPS) can reconfigure adaptively according to runtime resource availability. RPSs compete with other applications for computing resources in a shared-network environment of workstation clusters through a runtime system called Comedians. This approach aims to combine the benefits of parallelism and replication so that overall simulation performance can be enhanced. Experimental studies presented in this paper exhibit the effectiveness and the adaptability of the approach with different scheduling policies. The studies also show that coalition formation among the RPSs can further improve simulation performance and avoid counter-productive competition.
format text
author SHUM, Kam Hong
author_facet SHUM, Kam Hong
author_sort SHUM, Kam Hong
title Replicating Parallel Simulation on Heterogeneous Clusters
title_short Replicating Parallel Simulation on Heterogeneous Clusters
title_full Replicating Parallel Simulation on Heterogeneous Clusters
title_fullStr Replicating Parallel Simulation on Heterogeneous Clusters
title_full_unstemmed Replicating Parallel Simulation on Heterogeneous Clusters
title_sort replicating parallel simulation on heterogeneous clusters
publisher Institutional Knowledge at Singapore Management University
publishDate 1998
url https://ink.library.smu.edu.sg/sis_research/1068
http://dx.doi.org/10.1016/S1383-7621(97)00041-6
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