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

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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


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