Multi-dimensional fairness for auction-based resource allocation
dc.contributor.author
dc.date.accessioned
2014-10-27T10:16:35Z
dc.date.available
2014-10-27T10:16:35Z
dc.date.issued
2015-01
dc.identifier.issn
0950-7051
dc.identifier.uri
dc.description.abstract
Multi-attribute resource allocation problems involve the allocation of resources on the basis of several attributes, therefore, the definition of a fairness method for this kind of auctions should be formulated from a multi-dimensional perspective. Under such point of view, fairness should take into account all the attributes involved in the allocation problem, since focusing on just a single attribute may compromise the allocations regarding the remainder attributes (e.g. incurring in delayed or bad quality tasks). In this paper, we present a multi-dimensional fairness approach based on priorities. For that purpose, a recurrent auction scenario is assumed, in which the auctioneer keeps track of winner and losers. From that information, the priority methods are defined based on the lost auctions number, the number of consecutive loses, and the fitness of their loser bids. Moreover, some methods contain a probabilistic parameter that enables handling wealth ranking disorders due to fairness. We test our approach in real-data based simulator which emulates an industrial production environment where several resource providers compete to perform different tasks. The results pointed that multi-dimensional fairness incentives agents to remain in the market whilst it improves the equity of the wealth distribution without compromising the quality of the allocation attributes
dc.description.sponsorship
This research project has been partially funded through the BR10/18 Scholarship granted to the first author of the paper. Work developed with the support of the research group SITES awarded with distinction by the Generalitat de Catalunya (SGR 2014-2016) and the MESC project funded by the Spanish MINECO (Ref. DPI2013-47450-C2-1-R)
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.relation
info:eu-repo/grantAgreement/MINECO//DPI2013-47450-C2-1-R/ES/PLATAFORMA PARA LA MONITORIZACION Y EVALUACION DE LA EFICIENCIA DE LOS SISTEMAS DE DISTRIBUCION EN SMART CITIES/
AGAUR/2014-2016/2014 SGR-1052
dc.relation.isformatof
Versió preprint del document publicat a: http://dx.doi.org/10.1016/j.knosys.2014.09.009
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© Knowledge-Based Systems, 2015, vol. 73, p. 134-148
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Articles publicats (ICRA)
dc.rights
Tots els drets reservats
dc.subject
dc.title
Multi-dimensional fairness for auction-based resource allocation
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.embargo.terms
Cap
dc.type.version
info:eu-repo/semantics/submittedVersion
dc.identifier.doi
dc.identifier.idgrec
022526
dc.contributor.funder
dc.relation.ProjectAcronym