广义随机Petri网的嵌入过程

Proceedings 9th International Workshop on Petri Nets and Performance Models Pub Date : 2001-09-11 DOI:10.1109/PNPM.2001.953357

G. Balbo, S. C. Bruell, M. Sereno

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引用次数: 5

摘要

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。

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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Embedded processes in Generalized Stochastic Petri Nets

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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Proceedings 9th International Workshop on Petri Nets and Performance Models

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