UNSPECIFIED (2003) A dynamic predictive framework for e-business workload management INFORMATION SYSTEMS, TECHNOLOGIES AND APPLICATIONS. In: 7th World Multiconference on Systemics, Cybernetics and Informatics, JUL 27-30, 2003, ORLANDO, FL.

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Abstract

Distributed e-business application platforms such as the web services framework will require sophisticated workload management infrastructures for the routing of client requests to the most appropriate services. This paper introduces a novel and dynamic predictive framework that uses both analytical performance modelling and historical data to extrapolate a request's predicted performance under varying workloads and conditions on different systems. Such a framework can facilitate a routing algorithm in meeting quality of service-based metric requirements. An e-business benchmark is used as a demonstrator to provide an insight into the techniques used in predicting request response times.

Item Type:	Conference Item (UNSPECIFIED)
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Journal or Publication Title:	7TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL I, PROCEEDINGS
Publisher:	INT INST INFORMATICS & SYSTEMICS
ISBN:	980-6560-01-9
Editor:	Callaos, N and DiSciullo, AM and Ohta, T and Liu, TK
Date:	2003
Number of Pages:	6
Page Range:	pp. 390-395
Publication Status:	Published
Title of Event:	7th World Multiconference on Systemics, Cybernetics and Informatics
Location of Event:	ORLANDO, FL
Date(s) of Event:	JUL 27-30, 2003
URI:	http://wrap.warwick.ac.uk/id/eprint/7656

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