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, ORLANDO, FL, JUL 27-30, 2003. Published in: 7TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL I, PROCEEDINGS pp. 390-395.

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.

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