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dc.contributor.authorParizas, C.
dc.contributor.authorde Mel, G.
dc.contributor.authorPreece, A. D.
dc.contributor.authorŞensoy, Murat
dc.contributor.authorCalo, S. B.
dc.contributor.authorPham, T.
dc.date.accessioned2016-09-18T13:10:07Z
dc.date.available2016-09-18T13:10:07Z
dc.date.issued2016
dc.identifier.isbn978-3-319-42691-4
dc.identifier.urihttp://hdl.handle.net/10679/4480
dc.identifier.urihttp://link.springer.com/chapter/10.1007/978-3-319-42691-4_17
dc.description.abstractResources sharing is an important but complex problem to be solved. The problem is exacerbated in a coalition context due to policy constraints, that reflect concerns regarding security, privacy and performance to name a few, placed on the resources. Thus, to effectively share resources, members of a coalition need to negotiate on policies and at times refine them to meet the needs of the operating environment. Towards achieving this goal, in this work we propose and evaluate a novel policy negotiation mechanism based on the interest-based negotiation paradigm. Interest-based negotiation, promotes collaboration when compared with the traditional, position-based negotiation approaches.
dc.language.isoengen_US
dc.publisherSpringer Nature
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rightsrestrictedAccess
dc.titleInterest-based negotiation for policy-regulated asset sharingen_US
dc.typeArticleen_US
dc.peerreviewedyes
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0001-8806-4508 & YÖK ID 41438) Şensoy, Murat
dc.contributor.ozuauthorŞensoy, Murat
dc.identifier.startpage300
dc.identifier.endpage319
dc.identifier.doi10.1007/978-3-319-42691-4_17
dc.subject.keywordsArtificial intelligence
dc.subject.keywordsComputer science
dc.identifier.scopusSCOPUS:2-s2.0-84978906167
dc.contributor.authorMale1


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