E-Business applications on the Grid: A toolkit for centralized workload prediction and access

Dolkas, K; Kyriazis, D; Menychtas, A; Varvarigou, T

dc.contributor.author	Dolkas, K	en
dc.contributor.author	Kyriazis, D	en
dc.contributor.author	Menychtas, A	en
dc.contributor.author	Varvarigou, T	en
dc.date.accessioned	2014-03-01T01:26:11Z
dc.date.available	2014-03-01T01:26:11Z
dc.date.issued	2007	en
dc.identifier.issn	1532-0626	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17957
dc.subject	Centralized access	en
dc.subject	Grid computing	en
dc.subject	Grid toolkit	en
dc.subject	Workload prediction	en
dc.subject.classification	Computer Science, Software Engineering	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Cost effectiveness	en
dc.subject.other	Grid computing	en
dc.subject.other	Image processing	en
dc.subject.other	Problem solving	en
dc.subject.other	User interfaces	en
dc.subject.other	Centralized access	en
dc.subject.other	Grid toolkit	en
dc.subject.other	Workload prediction	en
dc.subject.other	Electronic commerce	en
dc.title	E-Business applications on the Grid: A toolkit for centralized workload prediction and access	en
heal.type	journalArticle	en
heal.identifier.primary	10.1002/cpe.1093	en
heal.identifier.secondary	http://dx.doi.org/10.1002/cpe.1093	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	Enabling e-Business applications on Grid computing has been an important topic of research as the beneficial perspective of Grids lies on solving computational intensive problems by large-scale distributed resources. In this paper we present a toolkit for centralized workload prediction and access, in order to meet the requirements of execution of commercial business processes on Grid infrastructures as well as to take advantage of their cost-effective capability for industrial users. The implementation of centralized workload prediction is achieved with an artificial neural network - available in the toolkit - each time a user completes a job execution. This approach has been adopted and validated within the framework of a GRIA IST project for a specific industrial application, namely 3D image rendering, which meets the e-Business application's standards. The accuracy of the prediction showed promising results and in combination with the centralized access capability makes e-Business applications feasible on Grids. Copyright © 2006 John Wiley & Sons, Ltd.	en
heal.publisher	JOHN WILEY & SONS LTD	en
heal.journalName	Concurrency Computation Practice and Experience	en
dc.identifier.doi	10.1002/cpe.1093	en
dc.identifier.isi	ISI:000245834500010	en
dc.identifier.volume	19	en
dc.identifier.issue	6	en
dc.identifier.spage	867	en
dc.identifier.epage	883	en