Memory performance prediction of web server applications based on grey system theory

Authors:
Faliang Huang;Shichao Zhang;Changan Yuan;Zhi Zhong
Affiliations:
Faculty of Software, Fujian Normal University, Fuzhou, P.R. China;Faculty of Engineering and Information Technology, University of Technology, Sydney, NSW, Australia;Science Computing and Intelligent Information Processing of GuangXi Higher Education Key Laboratory, Nanning, China;Science Computing and Intelligent Information Processing of GuangXi Higher Education Key Laboratory, Nanning, China
Venue:
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Year:
2012

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Abstract

With the success of internet, recently more and more companies start to run web-based business. While running e-business sites, many companies have encountered unexpected degeneration of their web server applications performance, which may lead to loss of customers. Many managers wish to have a decision-support tool that cancan answer such questions, such as "will my web server applications performance degenerate?", and "what are the main reasons of the degenerations?". In this paper we first propose a new memory performance prediction model of web server applications based on grey system theory. And then, a software system "Memory Performance Manager" (MPM) is developed for predicting memory performance of the web server applications. Massive experiments demonstrate that the effectiveness of MPM's in predicting web server memory performances.