摘要
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.
出处
《计算机应用》
CSCD
北大核心
2008年第5期1095-1097,1100,共4页
journal of Computer Applications
基金
国家自然科学基金资助项目(60703116)
云南省应用基础研究计划项目(2005F0016Q
2006F0024Q)
云南省教育厅科学研究基金项目(6Y0080D)
昆明理工大学科学研究启动基金项目(校青2006-50)