1986
DOI: 10.1109/tse.1986.6312904
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Combining queueing network and Generalized Stochastic Petri Net models for the analysis of some software blocking phenomena

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Cited by 38 publications
(7 citation statements)
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“…Finally, some researchers are studying the possibility of combining SPN with queues in order to obtain an integrated performance evaluation methodology that enjoys the nice properties of both approaches [48,49].…”
Section: 6mentioning
confidence: 85%
“…Finally, some researchers are studying the possibility of combining SPN with queues in order to obtain an integrated performance evaluation methodology that enjoys the nice properties of both approaches [48,49].…”
Section: 6mentioning
confidence: 85%
“…Since the SPNs presented in this paper possess a closed norm solution it should be possible to extend Balbo et al's [1] work to cover a wider class of SPNs.…”
Section: Introductionmentioning
confidence: 95%
“…Balbo, Bruell and Chanta [1] have applied the knowledge of product form solutions to the analysis of SPNs, by replacing subnets which possess a product form solution with a single "equivalent server" transition, thereby reducing computational complexity. Since the SPNs presented in this paper possess a closed norm solution it should be possible to extend Balbo et al's [1] work to cover a wider class of SPNs.…”
Section: Introductionmentioning
confidence: 99%
“…They have presented approximate models for priority queueing schemes, software blocking phenomena, and other complex system behavior [2], [3], [4]. We follow a similar idea, but restrict ourselves to single-class queueing networks which do not possess a product-fonn solution.…”
Section: Descripfion Of the Hierarchical Decomposition Methodsmentioning
confidence: 99%
“…This decomposition method introduces some error into the solution, only if there exists an interaction between a flow-equivalent transition and the complementary subnet of the compact GSPN. Such a case is given for instance when the firing rate of a flowequivalent transition is defined using the number of tokens in two or more places [2], [3]. If it is assumed that all tasks belong to a single class, the firing rate of the flowequivalent transition can be defined by using only the number of tokens of its single input place.…”
Section: Descripfion Of the Hierarchical Decomposition Methodsmentioning
confidence: 99%