In: IEEE Computer Soc. Press, Proc. of 6th International Workshop on Petri Nets and Performance Models - PNPM'95, Durham, N. Carolina, USA, pages 11-20. 1995.
Abstract: We introduce a new method combining the powerful Stochastic Well Formed Petri Net (SWN) model with the decomposition approach initiated by B. Plateau. We derive necessary conditions on the modeled systems that allow for the two methods to be combined. For parallel systems satisfying these necessary conditions we develop two models with corresponding algorithms. The first model, which forbids color synchronization between components of the system yields to a strict generalization of each of the two methods. The second model which covers a large range of real life systems needs theoretical study that we undertake here. An example shows the intuitiv ideals behind these developments.
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