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

Huang, F; Zhang, S; Yuan, C; Zhong, Z

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

Huang, F Zhang, S Yuan, C Zhong, Z

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Publisher:: Springer
Publication Type:: Journal Article
Citation:: Lecture Notes in Computer Science, 2012, 7235 pp. 660 - 668
Issue Date:: 2012-01

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Field	Value	Language
dc.contributor.author	Huang, F	en_US
dc.contributor.author	Zhang, S	en_US
dc.contributor.author	Yuan, C	en_US
dc.contributor.author	Zhong, Z	en_US
dc.date.issued	2012-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science, 2012, 7235 pp. 660 - 668	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/22902
dc.description.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 MPMs in predicting web server memory performances.	en_US
dc.publisher	Springer	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0985456
dc.relation.ispartof	Lecture Notes in Computer Science	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Memory performance prediction of web server applications based on grey system theory	en_US
dc.type	Journal Article
utslib.citation.volume	7235	en_US
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.volume	7235	en_US

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 MPMs in predicting web server memory performances.

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http://hdl.handle.net/10453/22902