Abstract
Parallel independent replicated simulation (PIRS) is an effective approach to speed up the simulation processes. In a PIRS, amultiple simulation runs are executed independently computers in parallel. The statistical properties for a PIRS may be affected by the scheduling policies. For an unbiased PIRS scheduling policy, a reliable distributed computing environment is required. We consider an unbiased PIRS scheduling policy on a distributed platform such as a network of workstations. We observe that including more computing resources may degrade the performance of PIRS. Simple rules are proposed to select processors for PIRS.
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