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A diffusion-based ACO resource discovery framework for dynamic p2p networks

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A diffusion-based ACO resource discovery framework for dynamic p2p networks

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dc.contributor.author Krynicki, Kamil Krzysztof es_ES
dc.contributor.author Jaén Martínez, Francisco Javier es_ES
dc.contributor.author Catalá Bolós, Alejandro es_ES
dc.date.accessioned 2016-07-07T13:24:01Z
dc.date.available 2016-07-07T13:24:01Z
dc.date.issued 2013-06-20
dc.identifier.isbn 978-1-4799-0452-5
dc.identifier.issn 1089-778X
dc.identifier.uri http://hdl.handle.net/10251/67330
dc.description © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works es_ES
dc.description.abstract The Ant Colony Optimization (ACO) has been a very resourceful metaheuristic over the past decade and it has been successfully used to approximately solve many static NP-Hard problems. There is a limit, however, of its applicability in the field of p2p networks; derived from the fact that such networks have the potential to evolve constantly and at a high pace, rendering the already-established results useless. In this paper we approach the problem by proposing a generic knowledge diffusion mechanism that extends the classical ACO paradigm to better deal with the p2p's dynamic nature. Focusing initially on the appearance of new resources in the network we have shown that it is possible to increase the efficiency of ant routing by a significant margin. es_ES
dc.description.sponsorship Kamil Krynicki is supported by a FPI fellowship from the Universitat Politècnica de València with reference number 3117. This work received financial support from the Spanish Ministry of Education under the National Strategic Program of Research and Project TSI2010-20488. es_ES
dc.format.extent 8 es_ES
dc.language Inglés es_ES
dc.publisher IEEE es_ES
dc.relation.ispartof 2013 IEEE Congress on Evolutionary Computation es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject ACO es_ES
dc.subject Ant Colony Optimization es_ES
dc.subject Overlay networks es_ES
dc.subject Semantic search es_ES
dc.subject Semantic networks es_ES
dc.subject P2P es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title A diffusion-based ACO resource discovery framework for dynamic p2p networks es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.1109/CEC.2013.6557658
dc.relation.projectID info:eu-repo/grantAgreement/UPV//FPI%2F3117/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ME//TSI2010-20488/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Krynicki, KK.; Jaén Martínez, FJ.; Catalá Bolós, A. (2013). A diffusion-based ACO resource discovery framework for dynamic p2p networks. En 2013 IEEE Congress on Evolutionary Computation. IEEE. 860-867. https://doi.org/10.1109/CEC.2013.6557658 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename IEEE Congress on Evolutionary Computation (CEC 2013) es_ES
dc.relation.conferencedate June, 20-23, 2013 es_ES
dc.relation.conferenceplace Cancún, México es_ES
dc.relation.publisherversion http://dx.doi.org/10.1109/CEC.2013.6557658 es_ES
dc.description.upvformatpinicio 860 es_ES
dc.description.upvformatpfin 867 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 256007 es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.contributor.funder Ministerio de Educación es_ES


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