In: IEEE Transactions on Reliability, Vol. 38, No. 5, pages 518-526. December 1989.
Abstract: The authors address the problem of modeling and evaluating the composite performance and reliability measures (performability) of a hypercube architecture running a specific application. A generalized stochastic Petri net (GSPN) is used to model the component failures and repairs in the hypercube. The GSPN model defines the dimension and number of subcubes available for the application. This model generalizes previously proposed models for hypercube reliability and automatically generates the underlying Markov chain needed for performability analysis. A novel performability analysis algorithm is presented; it is conceptually simpler than those previously reported.
Keywords: performability (of the) hypercube; generalized stochastic net; reliability; Markov chain; performability analysis algorithm.
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