Embedded Processes in Stochastic Petri Nets
IEEE Transactions on Software Engineering
Ergodicity and Throughput Bounds of Petri Nets with Unique Consistent Firing Count Vector
IEEE Transactions on Software Engineering
Arrival theorems for product-form stochastic Petri nets
SIGMETRICS '94 Proceedings of the 1994 ACM SIGMETRICS conference on Measurement and modeling of computer systems
GreatSPN 1.7: graphical editor and analyzer for timed and stochastic Petri nets
Performance Evaluation - Special issue: performance modeling tools
Open, Closed, and Mixed Networks of Queues with Different Classes of Customers
Journal of the ACM (JACM)
Mean-Value Analysis of Closed Multichain Queuing Networks
Journal of the ACM (JACM)
Approximate Methods for Analyzing Queueing Network Models of Computing Systems
ACM Computing Surveys (CSUR)
Linearizer: a heuristic algorithm for queueing network models of computing systems
Communications of the ACM
Computational algorithms for closed queueing networks with exponential servers
Communications of the ACM
Some Extensions to Multiclass Queueing Network Analysis
Proceedings of the Third International Symposium on Modelling and Performance Evaluation of Computer Systems: Performance of Computer Systems
Iterative Decomposition and Aggregation of Stochastic Marked Graph Petri Nets
Papers from the 12th International Conference on Applications and Theory of Petri Nets: Advances in Petri Nets 1993
Proceedings of the 13th International Conference on Application and Theory of Petri Nets
Performance Analysis Using Stochastic Petri Nets
IEEE Transactions on Computers
Approximate analysis of general queuing networks
IBM Journal of Research and Development
Approximate closed-form aggregation of a fork-join structure in generalised stochastic petri nets
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
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An iterative technique for the computation of approximate performance indices of a class of stochastic Petri nets models is presented. The proposed technique is derived from the Mean Value Analysis algorithm for product form solution stochastic Petri nets. We apply the approximation technique to stochastic marked graphs. Several examples are presented in order to validate the approximate results.