并行多个复制的仿真环境中批处理方法的视角

Edjair Mota, A. Wolisz, K. Pawlikowski
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引用次数: 12

摘要

离散事件模拟通常是耗时的,因为现代动态系统,如电信网络,正变得越来越复杂和/或需要大量的观测来产生合理准确的结果。减少模拟持续时间的一个有趣方法是,在通过网络连接的多个处理器上并发运行多个并行复制(MRIP),并充分平均结果。我们提出了在这种分布式随机模拟中基于批均值的程序的适用性的研究结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A perspective of batching methods in a simulation environment of multiple replications in parallel
Discrete event simulation is frequently time-consuming either because modern dynamic systems, such as telecommunication networks, are becoming increasingly complex and/or a great number of observations is required to yield reasonably accurate results. An interesting approach to reduce the time duration of simulation is that of concurrently running multiple replications in parallel (MRIP) on a number of processors connected via networking and averaging the results adequately. We present the results of our research on the suitability of batch-means-based procedures in such distributed stochastic simulation.
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