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Performance partitioning impact in distributed simulation of high-level algebraic Petri nets

机译:性能划分对高级代数Petri网分布仿真的影响

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摘要

A class of Petri nets called high-level algebraic nets is studied. Attention is focused on ECATNets (extended concurrent algebraic term nets), a kind of high-level algebraic Petri net with bounded capacity places. Three distributed simulators are presented that are able to simulate ECATNet models: asynchronous conservative, asynchronous optimistic and synchronous. The influence that factors such as the characteristics of the simulated models, their initial partitioning, the organisation of the simulators and the characteristics of the target multicomputer have in the performance of the simulations have been measured and characterised. Experiments are reported that have been executed with those simulators, with the aim of characterising how the partitioning of the ECATNet model, the synchronisation strategy and the ways of organising the simulator influence the achieved performance. It is concluded that distributed simulation of ECATNets on a multicomputer system can in fact gain speedup over the sequential simulation, and this can be achieved even for small scale simulation models. An analysis of the results allows the suggestion of suitable combinations of algorithms to efficiently carry out simulations of ECATNet models.
机译:研究了一类称为高级代数网的Petri网。注意力集中在ECATNets(扩展的并发代数术语网)上,ECATNets是一种具有有限容量位的高级代数Petri网。提出了三种能够仿真ECATNet模型的分布式仿真器:异步保守,异步乐观和同步。测量和表征了诸如仿真模型的特性,它们的初始划分,仿真器的组织以及目标多计算机的特性等因素对仿真性能的影响。据报道,已经用这些模拟器执行了实验,目的是表征ECATNet模型的划分,同步策略和组织模拟器的方式如何影响所实现的性能。结论是,在多计算机系统上的ECATNets分布式仿真实际上可以比顺序仿真提高速度,即使对于小型仿真模型也可以实现。对结果的分析允许建议适当的算法组合,以有效地进行ECATNet模型的仿真。

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