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Ant colony optimisation for resource searching in dynamic peer-to-peer grids

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Ant colony optimisation for resource searching in dynamic peer-to-peer grids

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dc.contributor.author Krynicki, Kamil es_ES
dc.contributor.author Jaén Martínez, Francisco Javier es_ES
dc.contributor.author Mocholí Agües, Jose Antonio es_ES
dc.date.accessioned 2016-03-01T12:26:20Z
dc.date.available 2016-03-01T12:26:20Z
dc.date.issued 2014
dc.identifier.issn 1758-0366
dc.identifier.uri http://hdl.handle.net/10251/61320
dc.description.abstract The applicability of peer-to-peer (p2p) in the domain of grid computing has been an important subject over the past years. Nevertheless, the sole merger between p2p and the concept of grid is not sufficient to guarantee non-trivial efficiency. Some claim that ant colony optimisation (ACO) algorithms might provide a definite answer to this question. However, the use of ACO in grid networks causes several problems. The first and foremost stems out of the fact that ACO algorithms usually perform well under the conditions of static networks, solving predetermined problems in a known and bound space. The question that remains to be answered is whether the evolutive component of these algorithms is able to cope with changing conditions; and by those we mean changes both in the positive sense, such as the appearance of new resources, but also in the negative sense, such as the disappearance or failure of fragments of the network. In this paper we study these considerations in depth, bearing in mind the specificity of the peer-to-peer nature. es_ES
dc.description.sponsorship This work was funded by the Spanish Ministry of Education and Science and Innovation under the National Strategic Programme of Scientific Research, Development and Technological Innovation (I+D+i) and project TIN 2010-20488. Kamil Krynicki is supported by the FPI Fellowship from Universitat Politecnica de Valencia. en_EN
dc.language Inglés es_ES
dc.publisher Inderscience es_ES
dc.relation info:eu-repo/grantAgreement/MICINN//TIN2010-20488/ES/CREATEWORLDS: UNA PLATAFORMA PARA EL APRENDIZAJE CREATIVO SOBRE MESAS INTERACTIVAS/ es_ES
dc.relation Universitat Politècnica de València [FPI fellowship] es_ES
dc.relation.ispartof International Journal of Bio-Inspired Computation es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Semantic search es_ES
dc.subject Ant Colony Optimization es_ES
dc.subject Peer-to-peer es_ES
dc.subject Grid computing es_ES
dc.subject P2P Grid es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Ant colony optimisation for resource searching in dynamic peer-to-peer grids es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1504/IJBIC.2014.062634
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, K.; Jaén Martínez, FJ.; Mocholí Agües, JA. (2014). Ant colony optimisation for resource searching in dynamic peer-to-peer grids. International Journal of Bio-Inspired Computation. 6(3):153-165. https://doi.org/10.1504/IJBIC.2014.062634 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1504/IJBIC.2014.062634 es_ES
dc.description.upvformatpinicio 153 es_ES
dc.description.upvformatpfin 165 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 6 es_ES
dc.description.issue 3 es_ES
dc.relation.senia 285012 es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES


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