Runtime Support for Replicated Parallel Simulators of an ATM Network on Workstation Clusters

An effective approach of speeding up the simulation of an ATM network on workstation clusters is presented. In this approach, multiple simulation runs are performed by replicated parallel simulators (RPSs) concurrently. Since the execution platform of the simulation is in a shared-network environmen...

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Main Authors: SHUM, Kam Hong, LI, Robert Shuo-Yen
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Language:English
Published: Institutional Knowledge at Singapore Management University 1996
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Online Access:https://ink.library.smu.edu.sg/sis_research/1055
http://dx.doi.org/10.1007/3-540-61626-8_107
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spelling sg-smu-ink.sis_research-20542010-12-22T08:24:06Z Runtime Support for Replicated Parallel Simulators of an ATM Network on Workstation Clusters SHUM, Kam Hong LI, Robert Shuo-Yen An effective approach of speeding up the simulation of an ATM network on workstation clusters is presented. In this approach, multiple simulation runs are performed by replicated parallel simulators (RPSs) concurrently. Since the execution platform of the simulation is in a shared-network environment, the RPSs must compete with other applications for resources. The RPSs support adaptive execution by reconfiguring the grain-size of their logical processes dynamically. In addition, scheduling policies are proposed to facilitate efficient allocation of workstations to the RPSs. Experiments are conducted to evaluate the performance of three proposed scheduling policies in the scenarios of homogeneous and heterogeneous workstation clusters. 1996-08-01T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/1055 info:doi/10.1007/3-540-61626-8_107 http://dx.doi.org/10.1007/3-540-61626-8_107 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Finance and Financial Management 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 Databases and Information Systems
Finance and Financial Management
Numerical Analysis and Scientific Computing
spellingShingle Databases and Information Systems
Finance and Financial Management
Numerical Analysis and Scientific Computing
SHUM, Kam Hong
LI, Robert Shuo-Yen
Runtime Support for Replicated Parallel Simulators of an ATM Network on Workstation Clusters
description An effective approach of speeding up the simulation of an ATM network on workstation clusters is presented. In this approach, multiple simulation runs are performed by replicated parallel simulators (RPSs) concurrently. Since the execution platform of the simulation is in a shared-network environment, the RPSs must compete with other applications for resources. The RPSs support adaptive execution by reconfiguring the grain-size of their logical processes dynamically. In addition, scheduling policies are proposed to facilitate efficient allocation of workstations to the RPSs. Experiments are conducted to evaluate the performance of three proposed scheduling policies in the scenarios of homogeneous and heterogeneous workstation clusters.
format text
author SHUM, Kam Hong
LI, Robert Shuo-Yen
author_facet SHUM, Kam Hong
LI, Robert Shuo-Yen
author_sort SHUM, Kam Hong
title Runtime Support for Replicated Parallel Simulators of an ATM Network on Workstation Clusters
title_short Runtime Support for Replicated Parallel Simulators of an ATM Network on Workstation Clusters
title_full Runtime Support for Replicated Parallel Simulators of an ATM Network on Workstation Clusters
title_fullStr Runtime Support for Replicated Parallel Simulators of an ATM Network on Workstation Clusters
title_full_unstemmed Runtime Support for Replicated Parallel Simulators of an ATM Network on Workstation Clusters
title_sort runtime support for replicated parallel simulators of an atm network on workstation clusters
publisher Institutional Knowledge at Singapore Management University
publishDate 1996
url https://ink.library.smu.edu.sg/sis_research/1055
http://dx.doi.org/10.1007/3-540-61626-8_107
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