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Symmetric stochastic Petri nets

机译:对称随机Petri网

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The stochastic Petri net (SPN) model is well suited to formal representation of concurrency, synchronization, and communication. In this paper we focus on discrete event simulation methods for SPN models with special structure and define a symmetric SPN. Exploiting properties of a symmetric SPN and underlying regenerative process structure, we establish steady state estimation procedures based on independent, nonidentically distributed blocks of the marking process. We also establish estimation procedures for passage times in the symmetric SPN setting. These results lead to efficient estimation procedures for delay/throughput characteristics of ring networks with identical ports.
机译:随机Petri网(SPN)模型非常适合于并发,同步和通信的形式表示。在本文中,我们重点研究具有特殊结构的SPN模型的离散事件模拟方法,并定义对称的SPN。利用对称SPN的特性和基础的再生过程结构,我们基于标记过程的独立,不相同分布的块建立稳态估计程序。我们还建立了对称SPN设置中通过时间的估算程序。这些结果导致对具有相同端口的环形网络的延迟/吞吐量特性进行有效的估计程序。

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