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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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 |
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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 |
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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. |
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text |
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SHUM, Kam Hong LI, Robert Shuo-Yen |
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SHUM, Kam Hong LI, Robert Shuo-Yen |
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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 |
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Institutional Knowledge at Singapore Management University |
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1996 |
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https://ink.library.smu.edu.sg/sis_research/1055 http://dx.doi.org/10.1007/3-540-61626-8_107 |
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1770570840676499456 |