Embedded processes in Generalized Stochastic Petri Nets

Embedded processes in Generalized Stochastic Petri Nets
复制标题

广义随机 Petri 网中的嵌入过程

DOI:
--
复制
发表时间:
2001
期刊:
Proceedings 9th International Workshop on Petri Nets and Performance Models
影响因子:
--
通讯作者:
M. Sereno
M. Sereno
中科院分区:
--
文献类型:
--
作者:
G. Balbo;S. C. Bruell;M. Sereno

文献摘要

被引文献

相似文献

我们表明,一类特殊的广义随机Petri网具有平稳的概率,表现出产品的形式。有效的解决方案的算法可以开发这样的产品形式GSPN的性能指标的计算。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。
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.