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Self-Adaptive Web Service Composition Based on Stochastic Context-Free Grammar

机译:基于随机上下文无关文法的自适应Web服务组合

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We propose to model the adaptation of the service composition using the Stochastic Context-free Grammar (SCFG) in the loosely coupled and interoperable Service-Oriented Architecture. According to our approach, every concrete composition is regarded as an instantiation of the corresponding Stochastic Finite Automaton, which is regarded as the abstract composition. Analyzing the historical compositions in the users' logs, we acquire the probabilities of productions in the SCFG. And probabilistic functions are defined based on the structures of service composition. By means of incorporating the correlation degree among the services, the proper fault-handling strategy is determined using the adaptive decision algorithms. Furthermore, we demonstrate one self-adaptive framework monitoring the service composition execution. At last, the result of a case study shows our approach effectiveness.
机译:我们建议在松散耦合且可互操作的面向服务的体系结构中使用随机上下文无关语法(SCFG)对服务组合的适应性进行建模。根据我们的方法,每个具体的构图都被视为对应的随机有限自动机的实例化,被视为抽象构图。通过分析用户日志中的历史组成,我们可以获取SCFG中产品的概率。根据服务组合的结构定义概率函数。通过合并服务之间的相关程度,使用自适应决策算法确定适当的故障处理策略。此外,我们演示了一种监视服务组合执行的自适应框架。最后,案例研究的结果表明了我们方法的有效性。

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