Protocols for Bio-Inspired Resource Discovery and Erasure Coded Replication in P2P Networks

Detalhes bibliográficos
Autor(a) principal: Thampi, Sabu M.
Data de Publicação: 2010
Outros Autores: SekaranK, Chandra
Tipo de documento: Artigo
Idioma: eng
Título da fonte: INFOCOMP: Jornal de Ciência da Computação
Texto Completo: https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/298
Resumo: Efficient resource discovery and availability improvement are very important issues in unstructured P2P networks. In this paper, a bio-inspired resource discovery scheme inspired by the principle of elephants migration is proposed. A replication scheme based on Q-learning and erasure codes is also introduced. Simulation results show that the proposed schemes significantly increases query success rate and availability, and reduces the network traffic as the resources are effectively distributed to well-performing nodes
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spelling Protocols for Bio-Inspired Resource Discovery and Erasure Coded Replication in P2P NetworksUnstructured P2P netwo rkSearchingReplicationQ-learningBio-inspiredErasure CodingElephants migration.Efficient resource discovery and availability improvement are very important issues in unstructured P2P networks. In this paper, a bio-inspired resource discovery scheme inspired by the principle of elephants migration is proposed. A replication scheme based on Q-learning and erasure codes is also introduced. Simulation results show that the proposed schemes significantly increases query success rate and availability, and reduces the network traffic as the resources are effectively distributed to well-performing nodesEditora da UFLA2010-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/298INFOCOMP Journal of Computer Science; Vol. 9 No. 2 (2010): June, 2010; 8-201982-33631807-4545reponame:INFOCOMP: Jornal de Ciência da Computaçãoinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/298/283Copyright (c) 2016 INFOCOMP Journal of Computer Scienceinfo:eu-repo/semantics/openAccessThampi, Sabu M.SekaranK, Chandra2015-07-29T11:42:18Zoai:infocomp.dcc.ufla.br:article/298Revistahttps://infocomp.dcc.ufla.br/index.php/infocompPUBhttps://infocomp.dcc.ufla.br/index.php/infocomp/oaiinfocomp@dcc.ufla.br||apfreire@dcc.ufla.br1982-33631807-4545opendoar:2024-05-21T19:54:30.449224INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Protocols for Bio-Inspired Resource Discovery and Erasure Coded Replication in P2P Networks
title Protocols for Bio-Inspired Resource Discovery and Erasure Coded Replication in P2P Networks
spellingShingle Protocols for Bio-Inspired Resource Discovery and Erasure Coded Replication in P2P Networks
Thampi, Sabu M.
Unstructured P2P netwo rk
Searching
Replication
Q-learning
Bio-inspired
Erasure Coding
Elephants migration.
title_short Protocols for Bio-Inspired Resource Discovery and Erasure Coded Replication in P2P Networks
title_full Protocols for Bio-Inspired Resource Discovery and Erasure Coded Replication in P2P Networks
title_fullStr Protocols for Bio-Inspired Resource Discovery and Erasure Coded Replication in P2P Networks
title_full_unstemmed Protocols for Bio-Inspired Resource Discovery and Erasure Coded Replication in P2P Networks
title_sort Protocols for Bio-Inspired Resource Discovery and Erasure Coded Replication in P2P Networks
author Thampi, Sabu M.
author_facet Thampi, Sabu M.
SekaranK, Chandra
author_role author
author2 SekaranK, Chandra
author2_role author
dc.contributor.author.fl_str_mv Thampi, Sabu M.
SekaranK, Chandra
dc.subject.por.fl_str_mv Unstructured P2P netwo rk
Searching
Replication
Q-learning
Bio-inspired
Erasure Coding
Elephants migration.
topic Unstructured P2P netwo rk
Searching
Replication
Q-learning
Bio-inspired
Erasure Coding
Elephants migration.
description Efficient resource discovery and availability improvement are very important issues in unstructured P2P networks. In this paper, a bio-inspired resource discovery scheme inspired by the principle of elephants migration is proposed. A replication scheme based on Q-learning and erasure codes is also introduced. Simulation results show that the proposed schemes significantly increases query success rate and availability, and reduces the network traffic as the resources are effectively distributed to well-performing nodes
publishDate 2010
dc.date.none.fl_str_mv 2010-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/298
url https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/298
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/298/283
dc.rights.driver.fl_str_mv Copyright (c) 2016 INFOCOMP Journal of Computer Science
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 INFOCOMP Journal of Computer Science
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv INFOCOMP Journal of Computer Science; Vol. 9 No. 2 (2010): June, 2010; 8-20
1982-3363
1807-4545
reponame:INFOCOMP: Jornal de Ciência da Computação
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str INFOCOMP: Jornal de Ciência da Computação
collection INFOCOMP: Jornal de Ciência da Computação
repository.name.fl_str_mv INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv infocomp@dcc.ufla.br||apfreire@dcc.ufla.br
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