Statistic-Based Dynamic Complexity Measurement for Web Service System

Abstract

The existing research mainly concerns on the static complexity measurement for service-based system, but the dynamic features like execution behavior have been ignored. In this paper, we proposed a hierarchical measurement framework for evaluating the complexity of Web services from the dynamic aspect. At the level of single service, fluctuation rate is used to represent the QoS (Quality of Service) change during service invocation. Then, a cumulative distribution function is used to measure the dynamic complexity of service performance. At the system level, execution vectors and the corresponding probabilities can be counted according to the trace set of system dynamic executions. Subsequently, the complexity of dynamic execution behaviors can be calculated by the usage of entropy value. In addition, the rationality of above metrics has been validated by the studies on two real applications.

Author Biography

Chengying Mao, Jiangxi University of Finance and Economics, China

Chengying Mao received the B.E. degree in Computer Science and Technology from Central South University, Changsha, China, in 2001, and the Ph.D. degree in Computer Software and Theory from Huazhong University of Science and Technology, Wuhan, China, in 2006. He worked as a Post-doc in the College of Management of Huazhong University of Science and Technology from July 2006 to September 2008. He is now a Professor of the School of Software and Communication Engineering in Jiangxi University of Finance and Economics, Nanchang, China. His current research interests include service computing and software engineering. He is a member of the ACM, IEEE and IEEE Computer Society.

Authors

  • Chengying Mao Jiangxi University of Finance and Economics, China

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Published

09/26/2016

How to Cite

Mao, C. (2016). Statistic-Based Dynamic Complexity Measurement for Web Service System. Informatica, 40(3). Retrieved from https://www.informatica.si/index.php/informatica/article/view/1129

Issue

Vol. 40 No. 3 (2016)

Section

Regular papers

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