Abstract
The DAML-based Web Service ontology is one of the major standards for modeling and description of distributed service composition. To analyze the performance of composite service processes specified in DAML-S gives the way to tell whether the process meet the performance requirements, and to choose the process with higher efficiency from those with similar function. In this paper, we propose a stochastic-Petri-net-based approach for performance analysis of DAML-S processes, which employs non-markovian-stochastic-petri-nets (SPN) as the intermediate representation. The main innovation of this research includes a translation from DAML-S to non-markovian-stochastic-petri-nets and a performance (using expected-process-normal-completion-time as the metric) analysis method . We also validate the correctness of the approach in the case study by showing 90% confidence intervals obtained from experimental results cover corresponding theoretical prediction values.
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