Application of generalized stochastic Petri nets to task allocation in distributed systems

A generalized stochastic Petri net (GSPN) model for task allocation in distributed computer systems is presented. A Markov chain (MC) reduction technique is discussed. This MC reduction method is applied to the GSPN task allocation model to give the mean completion time of the system, for a given allocation of modules to processors.<
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