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hal.structure.identifierLaboratoire d'Informatique de Paris 6 [LIP6]
dc.contributor.authorFossati, Francesca
HAL ID: 182098
ORCID: 0000-0003-3598-9472
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorMoretti, Stefano
HAL ID: 739814
ORCID: 0000-0003-3627-3257
hal.structure.identifierLaboratoire d'Informatique de Paris 6 [LIP6]
dc.contributor.authorSecci, Stefano
HAL ID: 5055
ORCID: 0000-0002-6129-0676
dc.date.accessioned2017-11-08T13:20:37Z
dc.date.available2017-11-08T13:20:37Z
dc.date.issued2017
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/16932
dc.language.isoenen
dc.subjectResource Allocationen
dc.subjectcooperative game theoryen
dc.subject.ddc519en
dc.subject.classificationjelC.C7.C71en
dc.titleA Mood Value for Fair Resource Allocationsen
dc.typeCommunication / Conférence
dc.description.abstractenIn networking and computing, resource allocation is typically addressed using classical sharing protocols as, for instance, the proportional division rule, the max-min fair allocation , or other solutions inspired by cooperative game theory. In this paper, we argue that, describing the resource allocation problem as a cooperative game, such classical resource allocation approaches, as well as associated notions of fairness, show important limitations. We identify in the individual satisfaction rate the key aspect of the challenge of defining a new notion of fairness and, consequently, a resource allocation algorithm more appropriate for the cooperative context. We generalize the concept of user satisfaction considering the set of admissible solutions for bankruptcy games. We adapt the Jain's fairness index to include the new user satisfaction rate. Accordingly, we propose a new allocation rule we call 'Mood Value'. For each user it equalizes our novel game-theoretic definition of user satisfaction with respect to a distribution of the resource. We test the mood value and the new fairness index through extensive simulations showing how they better support the fairness analysis.en
dc.relation.ispartoftitle16th International IFIP TC6 Networking Conference, Networking 2017en
dc.relation.ispartofeditorKarlsson, Gunnar
dc.relation.ispartofeditorBrunstrom, Anna
dc.relation.ispartofeditorJiang, Hongbo
dc.relation.ispartofeditorWolf, Tilman
dc.relation.ispartofeditorFodor, Viktoria
dc.relation.ispartofpublnameIFIP Open Digital Libraryen
dc.relation.ispartofdate2017-06
dc.identifier.urlsitehttps://hal.archives-ouvertes.fr/hal-01445492en
dc.subject.ddclabelProbabilités et mathématiques appliquéesen
dc.relation.ispartofisbn978-3-901882-94-4en
dc.relation.conftitle6th International IFIP TC6 Networking Conference, Networking 2017en
dc.relation.confdate2017-06
dc.relation.confcityStockholmen
dc.relation.confcountrySwedenen
dc.relation.forthcomingnonen
dc.description.ssrncandidatenonen
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2017-11-08T13:10:45Z
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