Gaining insight in the analysis of performance for Resource Monitoring and Discovery in Grids

Autores
González Márquez, D.; Fernández Slezak, Diego; Turjanski, P.; Mocskos, E.
Año de publicación
2011
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Nowadays, many High Performance Computing (HPC) centers with thousands of cores are available. The interconnection and synchronization between them is one of objectives of Grid Computing, as all these centers tend to form a global shared computing facility. In such scenario, dynamics of resource information is increasingly complex, and may become almost impossible to be captured using a static hierarchy. One of the key features needed in Grid Computing is to maintain up-to-date information about resources and services. Two important parameters that must be selected are the information refresh and expiration times. In this work, R is presented for studying the relation between these important parameters in three policies: Hierarchical, Super-peer and Random. The results reveal an interesting relation between expiration and refresh times in all studied policies. The study of this new parameter is essential to provide a deeper knowledge in new information distribution policies and in the configuration or deployment of existing ones.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Analysis of performance
Resource Monitoring
Grids
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/126144

id SEDICI_5c46705e3d05782e07b236af960271fc
oai_identifier_str oai:sedici.unlp.edu.ar:10915/126144
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Gaining insight in the analysis of performance for Resource Monitoring and Discovery in GridsGonzález Márquez, D.Fernández Slezak, DiegoTurjanski, P.Mocskos, E.Ciencias InformáticasAnalysis of performanceResource MonitoringGridsNowadays, many High Performance Computing (HPC) centers with thousands of cores are available. The interconnection and synchronization between them is one of objectives of Grid Computing, as all these centers tend to form a global shared computing facility. In such scenario, dynamics of resource information is increasingly complex, and may become almost impossible to be captured using a static hierarchy. One of the key features needed in Grid Computing is to maintain up-to-date information about resources and services. Two important parameters that must be selected are the information refresh and expiration times. In this work, R is presented for studying the relation between these important parameters in three policies: Hierarchical, Super-peer and Random. The results reveal an interesting relation between expiration and refresh times in all studied policies. The study of this new parameter is essential to provide a deeper knowledge in new information distribution policies and in the configuration or deployment of existing ones.Sociedad Argentina de Informática e Investigación Operativa2011-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf145-156http://sedici.unlp.edu.ar/handle/10915/126144enginfo:eu-repo/semantics/altIdentifier/url/https://40jaiio.sadio.org.ar/sites/default/files/T2011/HPC/1227.pdfinfo:eu-repo/semantics/altIdentifier/issn/1851-9326info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:22:16Zoai:sedici.unlp.edu.ar:10915/126144Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:22:17.072SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Gaining insight in the analysis of performance for Resource Monitoring and Discovery in Grids
title Gaining insight in the analysis of performance for Resource Monitoring and Discovery in Grids
spellingShingle Gaining insight in the analysis of performance for Resource Monitoring and Discovery in Grids
González Márquez, D.
Ciencias Informáticas
Analysis of performance
Resource Monitoring
Grids
title_short Gaining insight in the analysis of performance for Resource Monitoring and Discovery in Grids
title_full Gaining insight in the analysis of performance for Resource Monitoring and Discovery in Grids
title_fullStr Gaining insight in the analysis of performance for Resource Monitoring and Discovery in Grids
title_full_unstemmed Gaining insight in the analysis of performance for Resource Monitoring and Discovery in Grids
title_sort Gaining insight in the analysis of performance for Resource Monitoring and Discovery in Grids
dc.creator.none.fl_str_mv González Márquez, D.
Fernández Slezak, Diego
Turjanski, P.
Mocskos, E.
author González Márquez, D.
author_facet González Márquez, D.
Fernández Slezak, Diego
Turjanski, P.
Mocskos, E.
author_role author
author2 Fernández Slezak, Diego
Turjanski, P.
Mocskos, E.
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Analysis of performance
Resource Monitoring
Grids
topic Ciencias Informáticas
Analysis of performance
Resource Monitoring
Grids
dc.description.none.fl_txt_mv Nowadays, many High Performance Computing (HPC) centers with thousands of cores are available. The interconnection and synchronization between them is one of objectives of Grid Computing, as all these centers tend to form a global shared computing facility. In such scenario, dynamics of resource information is increasingly complex, and may become almost impossible to be captured using a static hierarchy. One of the key features needed in Grid Computing is to maintain up-to-date information about resources and services. Two important parameters that must be selected are the information refresh and expiration times. In this work, R is presented for studying the relation between these important parameters in three policies: Hierarchical, Super-peer and Random. The results reveal an interesting relation between expiration and refresh times in all studied policies. The study of this new parameter is essential to provide a deeper knowledge in new information distribution policies and in the configuration or deployment of existing ones.
Sociedad Argentina de Informática e Investigación Operativa
description Nowadays, many High Performance Computing (HPC) centers with thousands of cores are available. The interconnection and synchronization between them is one of objectives of Grid Computing, as all these centers tend to form a global shared computing facility. In such scenario, dynamics of resource information is increasingly complex, and may become almost impossible to be captured using a static hierarchy. One of the key features needed in Grid Computing is to maintain up-to-date information about resources and services. Two important parameters that must be selected are the information refresh and expiration times. In this work, R is presented for studying the relation between these important parameters in three policies: Hierarchical, Super-peer and Random. The results reveal an interesting relation between expiration and refresh times in all studied policies. The study of this new parameter is essential to provide a deeper knowledge in new information distribution policies and in the configuration or deployment of existing ones.
publishDate 2011
dc.date.none.fl_str_mv 2011-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/126144
url http://sedici.unlp.edu.ar/handle/10915/126144
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://40jaiio.sadio.org.ar/sites/default/files/T2011/HPC/1227.pdf
info:eu-repo/semantics/altIdentifier/issn/1851-9326
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
145-156
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1846064279261806592
score 13.22299