基于贝叶斯网络的Web服务组合故障诊断

Fault diagnosis for Web service composition based on Bayesian network

提出一种利用贝叶斯网络对Web服务组合故障原因进行诊断的模型,对该模型中贝叶斯网络拓扑结构的构造以及网络参数的赋值方法进行了详细说明。然后,基于构造的贝叶斯网络,提出Web服务组合的故障检测算法并对其进行了分析。实验模拟表明,提出的模型能有效地识别Web服务组合流程错误的根本原因。

A fault diagnosis model based on Bayesian network to identify the most likely problematic services in a Web service composition process was proposed. The Bayesian network topology construction method and the parameters configuration method were specified respectively in detail. A fault diagnosis algorithm based on the Bayesian network was proposed and the algorithm was analyzed. The experimental simulation show that the model can rule out the root cause of the problems in the Web service composition process effectively and efficiently.