Service Composition Performance Predication
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    Abstract:

    One benefit of SOA is from service composition which combines existing services to form a new valued-added service in the form of business process. This also creates the need to ensure that the performance of those composite services meets the business requirements. This paper proposes a method for evaluating the performance of composite services. We automatically transform a composite service modeled by BPEL, into a performance model based on Layered Queuing Networks (LQN) and then leverage existing LQN solvers to predict their performance. The inputs to our transformation algorithm are an XML file which contains a service composition model complying with the BPEL4WS specification, a related performance profile and a service topology. The output of the model is the corresponding LQN model which can be directly analyzed using existing LQN solvers.

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谈华芳,Ratakonda Krishna C.,朱俊,苏辉.服务合成的性能预测.计算机系统应用,2009,18(6):57-63

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