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Business relationships in grid workflows

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dc.contributor.author Papagiannis, I en
dc.contributor.author Kyriazis, D en
dc.contributor.author Kardara, M en
dc.contributor.author Andronikou, V en
dc.contributor.author Varvarigou, T en
dc.date.accessioned 2014-03-01T02:45:10Z
dc.date.available 2014-03-01T02:45:10Z
dc.date.issued 2008 en
dc.identifier.issn 03029743 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32178
dc.subject Business relationships en
dc.subject Grid computing en
dc.subject Quality of service en
dc.subject Workflows en
dc.subject.other Work simplification en
dc.subject.other Business domains en
dc.subject.other Business modeling en
dc.subject.other Business relationships en
dc.subject.other Grid computing en
dc.subject.other Grid technologies en
dc.subject.other Grid workflow en
dc.subject.other Grid workflows en
dc.subject.other Negative influence en
dc.subject.other Selection processes en
dc.subject.other Service providers en
dc.subject.other Strategic relationships en
dc.subject.other Workflows en
dc.subject.other Quality of service en
dc.title Business relationships in grid workflows en
heal.type conferenceItem en
heal.identifier.primary 10.1007/978-3-540-85485-2_3 en
heal.identifier.secondary http://dx.doi.org/10.1007/978-3-540-85485-2_3 en
heal.publicationDate 2008 en
heal.abstract Although initially designed to cover the needs of computationally-intensive applications, Grid technology of nowadays aims at providing an infrastructure that can also serve the needs of the business domain. Taking into consideration that the available service providers may have business / strategic relationships, this paper focuses on describing an approach for modeling these relationships. Furthermore and since these relationships may affect the parameters regarding the offered Quality of Service (QoS) level, we present a metric for characterizing a service providers ""friendliness"". The latter can be used to promote the most positively influential providers and put aside those with a negative influence during a QoS-based selection process in Grid workflow management systems. © 2008 Springer-Verlag Berlin Heidelberg. en
heal.journalName Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) en
dc.identifier.doi 10.1007/978-3-540-85485-2_3 en
dc.identifier.volume 5206 LNCS en
dc.identifier.spage 28 en
dc.identifier.epage 40 en


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