Second-Order HMM-based Diagnosis Method for Web Service Fault
Web service application is becoming a popular and important software application on the web. With the advent of more and more service application using on the web, it is a crucial challenge to use an effective diagnostic technology to localize the service faults. To improve the diagnosis capability for service application software, we build a second-order hidden Markov diagnosis model by considering the dependency relationship of three ordered behaviors in the service process. Furthermore, we extend the Viterbi algorithm to find the most likelihood correct behavior sequence with the exception trace using the second-order HMM we propose. Finally, we compare the correct sequence with the exception one to localize the service faults. Experimental results show that our method is effective to the web service application in the fault diagnosis.
fault diagnosis web service application secondorder HMM Viterbi algorithm
Zhichun Jia Xing Xing
College of Information Science and Technology Bohai University Jinzhou, Liaoning 121013, China College of Information Science and Technology Bohai University Jinzhou, Liaoning 121013, China;Depar
国际会议
秦皇岛
英文
1775-1778
2015-09-18（万方平台首次上网日期，不代表论文的发表时间）