Embedded processes in Generalized Stochastic Petri Nets

G. Balbo, S. C. Bruell, M. Sereno
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引用次数: 5

Abstract

We show that a particular class of Generalized Stochastic Petri Nets have stationary probabilities that exhibit a product form. Efficient solution algorithms can be developed for the computation of the performance indices of such Product-Form GSPNs. These algorithms avoid the generation of the underlying state space. Hence, large PF-GSPN models can now be effectively studied.
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广义随机Petri网的嵌入过程
我们证明了一类特殊的广义随机Petri网具有表现为乘积形式的平稳概率。对于这类乘积型gspn的性能指标的计算,可以开发出高效的求解算法。这些算法避免了底层状态空间的生成。因此,现在可以有效地研究大型PF-GSPN模型。
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