Development and Experimentation of PDES-based Analytic Simulation

Yiping Yao, Dong Meng, Qingjun Qu, Jin Li, Zhiwen Jiang
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引用次数: 3

Abstract

Parallel-discrete-event-simulation-based analytic simulation (PAS) is an effective approach to studycomplex issues and analyze complex systems.But the complexity and high demand for credibility of PAS make its development and experimentation quite different from traditional information systems. Firstly, this article briefly introduces analytic simulation concept and the difference with training simulation. And then five computational characteristics which cause the huge computation demand are summarized: multi-sample, multi-entity, as fast as possible, synchronization for constraint of causality and complex model calculation. According to these characteristics, a "Sample, Entity, Model" three-level-Parallelization solution(SEMP) is introduced for PAS.The solution can be used to fully exploit the parallelization of PAS and utilize the computing resources in different levels, which is able to meet the growing computation demand of PAS. Finally, in order to improve the development efficiency and credibility of PAS application, based on the accumulation of several years' R&D, we conclude a summary of development and experimentation flow of PAS, and propose four additional VV&A principles to improve credibility, which can be used to guide the development and experimentation of PDES-based analytic simulation.
基于pdes的分析仿真的开发与实验
基于并行离散事件模拟的分析仿真(PAS)是研究复杂问题和分析复杂系统的有效方法。但PAS系统的复杂性和对可信度的高要求使其开发和试验与传统的信息系统有很大的不同。本文首先简要介绍了分析仿真的概念及其与训练仿真的区别。然后总结了导致计算量巨大的五个计算特点:多样本、多实体、尽可能快、因果约束的同步性和模型计算的复杂性。根据这些特点,提出了一种“样本、实体、模型”三级并行化方案(SEMP)。该方案可以充分发挥PAS的并行性,利用不同层次的计算资源,满足PAS日益增长的计算需求。最后,为了提高PAS应用的开发效率和可信度,在多年研发积累的基础上,总结了PAS的开发和实验流程,并提出了提高可靠性的4个附加VV&A原则,可用于指导基于pdes的分析仿真的开发和实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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