A dynamic predictive framework for e-business workload management INFORMATION SYSTEMS, TECHNOLOGIES AND APPLICATIONS
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.Full text not available from this repository.
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|
|Editor:||Callaos, N and DiSciullo, AM and Ohta, T and Liu, TK|
|Number of Pages:||6|
|Page Range:||pp. 390-395|
|Title of Event:||7th World Multiconference on Systemics, Cybernetics and Informatics|
|Location of Event:||ORLANDO, FL|
|Date(s) of Event:||JUL 27-30, 2003|
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