Survey of closed queueing networks with blocking
ACM Computing Surveys (CSUR)
Queueing networks with blocking
Queueing networks with blocking
GreatSPN 1.7: graphical editor and analyzer for timed and stochastic Petri nets
Performance Evaluation - Special issue: performance modeling tools
Approximate Mean Value Analysis for Stochastic Marked Graphs
IEEE Transactions on Software Engineering - Special issue: best papers of the sixth international workshop on Petri nets and performance models (PNPM'95)
Alternative Methods for Incorporating Non-exponential Distributions into Stochastic Timed Petri Nets
PNPM '89 The Proceedings of the Third International Workshop on Petri Nets and Performance Models
Performance Bounds for Stochastic Timed Petri Nets
Proceedings of the 16th International Conference on Application and Theory of Petri Nets
Improving the linearly based characterization of P/T nets
Proceedings of the 10th International Conference on Applications and Theory of Petri Nets: Advances in Petri Nets 1990
ICATPN '98 Proceedings of the 19th International Conference on Application and Theory of Petri Nets
Defining Formalisms for Performance Evaluation With SIMTHESys
Electronic Notes in Theoretical Computer Science (ENTCS)
Exploiting multiformalism models for testing and performance evaluation in SIMTHESys
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
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Queueing network models with finite capacity queues and blocking are used to represent systems with finite capacity resource constraints, such as production, communication and computer systems. Various blocking mechanisms have been defined in the literature to represent the different behaviours of real systems with limited resources. In this paper we propose a technique that allows to represent this type of queueing networks by means of generalized stochastic Petri nets. The method allows to obtain several benefits both for the qualitative and the quantitative analysis of these queueing networks. In particular it offers the possibility of using results and tools developed within the framework of the Petri nets. In the paper some of these potentialities are presented.