利用时间Petri网分布式仿真中的时间不确定性

F. Cicirelli, A. Furfaro, L. Nigro
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引用次数: 4

摘要

本文提出了一种基于Merlin和Farber时间Petri网(TPN)的实时系统分布式仿真内核。时间不确定性时间扭曲(TUTW)是一种新的时间扭曲算法,能够利用一般乐观模拟中的时间不确定性。该应用程序的一个关键特征在于,TPN模型自然表现出一定程度的时间不确定性,TUTW控制引擎可以利用这种不确定性来实现良好的加速,而不会损害仿真输出的准确性。通过一个实时系统实例的仿真实验,验证了所实现的TUTW/TPN内核的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploiting temporal uncertainty in the distributed simulation of time Petri nets
This paper proposes a kernel for the distributed simulation of real-time systems modelled by Merlin and Farber's time Petri nets (TPN). The realization depends on temporal uncertainty time warp (TUTW), a novel time warp algorithm capable of exploiting temporal uncertainty in general optimistic simulations. A key feature of the application rests on the fact that TPN models naturally exhibit a certain degree of temporal uncertainty which the TUTW control engine can exploit to achieve good speedup without impairing accuracy of the simulation output. Usefulness of the achieved TUTW/TPN kernel is demonstrated by simulation experiments on a real-time system example.
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