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Probabilistic Prediction of the QoS of Service Orchestrations: A Truly Compositional Approach

机译:服务编排QoS的概率预测:一种真正的组合方法

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The ability to a priori predict the QoS of a service orchestration is of pivotal importance for both the design of service compositions and the definition of their SLAs. QoS prediction is challenging because the results of service invocations is not known a priori. In this paper we present an algorithm to probabilistically predict the QoS of a WS-BPEL service orchestration. Our algorithm employs Monte Carlo simulations and it improves previous approaches by coping with complex dependency structures, unbound loops, fault handling, and unresponded service invocations.
机译:先验地预测服务编排的QoS的能力对于服务组合的设计及其SLA的定义都至关重要。 QoS预测具有挑战性,因为服务调用的结果不是先验的。在本文中,我们提出了一种概率预测WS-BPEL服务流程的QoS的算法。我们的算法采用了蒙特卡洛(Monte Carlo)模拟,并且通过处理复杂的依赖关系结构,未绑定循环,故障处理和未响应的服务调用来改进了先前的方法。

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