A Web Service Reliability Prediction Using HMM and Fuzzy Logic Models

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Abstract

With the increasing popularity of using Service-Oriented Systems (SOS), the reliability is becoming a significant concern for SOS. SOS are mainly built by Web services, hence prediction of reliability of Web service(s) leads to major concern in SOS. In this paper, Hidden Markov Model (HMM) and Fuzzy logic prediction model are used to predict reliability of Web service(s). The experiments are often conducted on real time Web services. The maximum likelihood value in HMM are calculated by Estimation-Maximization algorithm. Viterbi algorithm is used to restore the hidden states in HMM. The throughput, response time, and successful invocation of Web service are used to form rules in Fuzzy logic model. This helps to model highly complex problems that have multi-dimensional data. These experimental results prove better prediction method as compared to other conventional methods.

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Honamore, S., & Rath, S. K. (2016). A Web Service Reliability Prediction Using HMM and Fuzzy Logic Models. In Procedia Computer Science (Vol. 93, pp. 886–892). Elsevier B.V. https://doi.org/10.1016/j.procs.2016.07.273

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