Performance Evaluation of Resource-Aware Business Processes Using Stochastic Automata Networks

Abstract : In this work, we study the performance evaluation of resource-aware business process models. We define a new framework that allows the generation of analytical models for performance evaluation from business process models annotated with resource management information. This framework is composed of a new notation that allows the specification of resource management constraints and a method to convert a business process specification and its resource constraints into Stochastic Automata Networks (SAN). We show that the analysis of the generated SAN model provides several performance indices, such as average throughput of the system, average waiting time, average queues size, and utilization rate of resources. Using the BP2SAN tool our implementation of the proposed framework and a SAN solver (such as the PEPS tool) we show through a simple use-case how a business specialist with no skills in stochastic modeling can easily obtain performance indices that, in turn, can help to identify bottlenecks on the model, to perform workload characterization, to define the provisioning of resources, and to study other performance related aspects of the business process.
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Article dans une revue
IJICIC, Kumamoto ICIC International, 2012, 8, pp.5295-5380
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https://hal.inria.fr/hal-00787994
Contributeur : Arnaud Legrand <>
Soumis le : mercredi 13 février 2013 - 14:56:59
Dernière modification le : mercredi 29 novembre 2017 - 15:27:21

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  • HAL Id : hal-00787994, version 1

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Kelly Rosa Braghetto, João Eduardo Ferreira, Jean-Marc Vincent. Performance Evaluation of Resource-Aware Business Processes Using Stochastic Automata Networks. IJICIC, Kumamoto ICIC International, 2012, 8, pp.5295-5380. 〈hal-00787994〉

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