Parallelising the Mean Value Analysis algorithm
Gennaro C., King P. J. B.
Mean value analysis
The Mean Value Analysis (MVA) algorithm is one of the most popular for evaluating the performance of separable (or product form) queueing networks. Although its complexity is modest when jobs are indistinguishable, the introduction of different customer classes rapidly increases its computational cost. The problems of parallelising the algorithm while retaining its conceptual simplicity are examined. In particular, a parallel implementation of MVA on a distributed memory machine is developed using the MPI library for communication.
Source: Transactions of the Society for Computer Simulation 16 (1999): 16–22. doi:10.1177/003754979907200304
Publisher: The Society,, [La Jolla, CA] , Stati Uniti d'AmericaBack to previous page