Runtime support for replicated parallel simulators of an ATM network on workstation clusters

Abstract

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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