Using distributed local information to improve global performance in Grids

Autores
Verghelet, Paula; Fernadez Slezak, Diego; Turjanski, Pablo Guillermo; Mocskos, Esteban Eduardo
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Grid computing refers to the federation of geographically distributed and heterogeneous computer resources. These resources may belong to diferent administrative domains, but are shared among users. Every grid presents a key component responsible for obtaining,distributing, indexing and archiving information about the conguration and state of services and resources. Optimizing tasks assignations and user requests to resources require the maintenance of up-to-date information about the grid. In large scale Grids, the dynamics of the resource information cannot be captured using a static hierarchy and relying in manual configuration and administration. It is necessary to design new policies for discovery and propagation of resource information. There is a growing interest in the interaction of Grid Computing and the Peer to Peer (P2P) paradigm, pushing towards scalable solutions. In this work, starting from the Best-Neighbor policy based on previously published ideas, the reasons behind its lack of performance are explored. A new improved Best-Neighbor policy are proposed and analyzed, comparing it with Random, Hierarchical and SuperPeer policies.
Fil: Verghelet, Paula. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina
Fil: Fernadez Slezak, Diego. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina
Fil: Turjanski, Pablo Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina
Fil: Mocskos, Esteban Eduardo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
RESOURCE INFORMATION
INFORMATION POLICIES
GRID COMPUTING
BEST NEIGHBOR
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/217439
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Using distributed local information to improve global performance in GridsVerghelet, PaulaFernadez Slezak, DiegoTurjanski, Pablo GuillermoMocskos, Esteban EduardoRESOURCE INFORMATIONINFORMATION POLICIESGRID COMPUTINGBEST NEIGHBORhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Grid computing refers to the federation of geographically distributed and heterogeneous computer resources. These resources may belong to diferent administrative domains, but are shared among users. Every grid presents a key component responsible for obtaining,distributing, indexing and archiving information about the conguration and state of services and resources. Optimizing tasks assignations and user requests to resources require the maintenance of up-to-date information about the grid. In large scale Grids, the dynamics of the resource information cannot be captured using a static hierarchy and relying in manual configuration and administration. It is necessary to design new policies for discovery and propagation of resource information. There is a growing interest in the interaction of Grid Computing and the Peer to Peer (P2P) paradigm, pushing towards scalable solutions. In this work, starting from the Best-Neighbor policy based on previously published ideas, the reasons behind its lack of performance are explored. A new improved Best-Neighbor policy are proposed and analyzed, comparing it with Random, Hierarchical and SuperPeer policies.Fil: Verghelet, Paula. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; ArgentinaFil: Fernadez Slezak, Diego. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; ArgentinaFil: Turjanski, Pablo Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; ArgentinaFil: Mocskos, Esteban Eduardo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaCentro Latinoamericano de Estudios en Informática2012-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/217439Verghelet, Paula; Fernadez Slezak, Diego; Turjanski, Pablo Guillermo; Mocskos, Esteban Eduardo; Using distributed local information to improve global performance in Grids; Centro Latinoamericano de Estudios en Informática; CLEI Electronic Journal; 15; 3; 12-2012; 1-80717-5000CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.scielo.edu.uy/scielo.php?script=sci_arttext&pid=S0717-50002012000300008info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:14:47Zoai:ri.conicet.gov.ar:11336/217439instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:14:48.129CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Using distributed local information to improve global performance in Grids
title Using distributed local information to improve global performance in Grids
spellingShingle Using distributed local information to improve global performance in Grids
Verghelet, Paula
RESOURCE INFORMATION
INFORMATION POLICIES
GRID COMPUTING
BEST NEIGHBOR
title_short Using distributed local information to improve global performance in Grids
title_full Using distributed local information to improve global performance in Grids
title_fullStr Using distributed local information to improve global performance in Grids
title_full_unstemmed Using distributed local information to improve global performance in Grids
title_sort Using distributed local information to improve global performance in Grids
dc.creator.none.fl_str_mv Verghelet, Paula
Fernadez Slezak, Diego
Turjanski, Pablo Guillermo
Mocskos, Esteban Eduardo
author Verghelet, Paula
author_facet Verghelet, Paula
Fernadez Slezak, Diego
Turjanski, Pablo Guillermo
Mocskos, Esteban Eduardo
author_role author
author2 Fernadez Slezak, Diego
Turjanski, Pablo Guillermo
Mocskos, Esteban Eduardo
author2_role author
author
author
dc.subject.none.fl_str_mv RESOURCE INFORMATION
INFORMATION POLICIES
GRID COMPUTING
BEST NEIGHBOR
topic RESOURCE INFORMATION
INFORMATION POLICIES
GRID COMPUTING
BEST NEIGHBOR
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Grid computing refers to the federation of geographically distributed and heterogeneous computer resources. These resources may belong to diferent administrative domains, but are shared among users. Every grid presents a key component responsible for obtaining,distributing, indexing and archiving information about the conguration and state of services and resources. Optimizing tasks assignations and user requests to resources require the maintenance of up-to-date information about the grid. In large scale Grids, the dynamics of the resource information cannot be captured using a static hierarchy and relying in manual configuration and administration. It is necessary to design new policies for discovery and propagation of resource information. There is a growing interest in the interaction of Grid Computing and the Peer to Peer (P2P) paradigm, pushing towards scalable solutions. In this work, starting from the Best-Neighbor policy based on previously published ideas, the reasons behind its lack of performance are explored. A new improved Best-Neighbor policy are proposed and analyzed, comparing it with Random, Hierarchical and SuperPeer policies.
Fil: Verghelet, Paula. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina
Fil: Fernadez Slezak, Diego. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina
Fil: Turjanski, Pablo Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina
Fil: Mocskos, Esteban Eduardo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Grid computing refers to the federation of geographically distributed and heterogeneous computer resources. These resources may belong to diferent administrative domains, but are shared among users. Every grid presents a key component responsible for obtaining,distributing, indexing and archiving information about the conguration and state of services and resources. Optimizing tasks assignations and user requests to resources require the maintenance of up-to-date information about the grid. In large scale Grids, the dynamics of the resource information cannot be captured using a static hierarchy and relying in manual configuration and administration. It is necessary to design new policies for discovery and propagation of resource information. There is a growing interest in the interaction of Grid Computing and the Peer to Peer (P2P) paradigm, pushing towards scalable solutions. In this work, starting from the Best-Neighbor policy based on previously published ideas, the reasons behind its lack of performance are explored. A new improved Best-Neighbor policy are proposed and analyzed, comparing it with Random, Hierarchical and SuperPeer policies.
publishDate 2012
dc.date.none.fl_str_mv 2012-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/217439
Verghelet, Paula; Fernadez Slezak, Diego; Turjanski, Pablo Guillermo; Mocskos, Esteban Eduardo; Using distributed local information to improve global performance in Grids; Centro Latinoamericano de Estudios en Informática; CLEI Electronic Journal; 15; 3; 12-2012; 1-8
0717-5000
CONICET Digital
CONICET
url http://hdl.handle.net/11336/217439
identifier_str_mv Verghelet, Paula; Fernadez Slezak, Diego; Turjanski, Pablo Guillermo; Mocskos, Esteban Eduardo; Using distributed local information to improve global performance in Grids; Centro Latinoamericano de Estudios en Informática; CLEI Electronic Journal; 15; 3; 12-2012; 1-8
0717-5000
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.scielo.edu.uy/scielo.php?script=sci_arttext&pid=S0717-50002012000300008
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Centro Latinoamericano de Estudios en Informática
publisher.none.fl_str_mv Centro Latinoamericano de Estudios en Informática
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.22299

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