Hopes and facts in evaluating the performance of HPC-I/O on a cloud environment

Autores
Gómez Sánchez, Pilar; Méndez, Sandra; Rexachs del Rosario, Dolores; Luque, Emilio
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Currently, there is an increasing interest about the cloud platform by the High Performance Computing (HPC) community, and the Parallel I/O for High Performance Systems is not an exception. In cloud platforms, the user takes into account not only the execution time but also the cost, because the cost can be one of the most important issue. In this paper, we propose a methodology to quickly evaluate the performance and cost of Virtual Clusters for parallel scientific application that uses parallel I/O. From the parallel application I/O model automatically extracted with our tool PAS2P-IO, we obtain the I/O requirements and then the user can select the Virtual Cluster that meets the application requirements. The application I/O model does not depend on the underlying I/O system. One of the main benefits of applying our methodology is that it is not necessary to execute the application to select the Virtual Cluster on cloud. Finally, costs and performance-cost ratio for the Virtual Clusters are provided to facilitate the decision making on the selection of resources on a cloud platform.
Facultad de Informática
Materia
Ciencias Informáticas
Parallel I/O
application I/O model
I/O system
Cloud Cluster
I/O phases
I/O access pattern
I/O configuration
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/44773
Acceder
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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Hopes and facts in evaluating the performance of HPC-I/O on a cloud environmentGómez Sánchez, PilarMéndez, SandraRexachs del Rosario, DoloresLuque, EmilioCiencias InformáticasParallel I/Oapplication I/O modelI/O systemCloud ClusterI/O phasesI/O access patternI/O configurationCurrently, there is an increasing interest about the cloud platform by the High Performance Computing (HPC) community, and the Parallel I/O for High Performance Systems is not an exception. In cloud platforms, the user takes into account not only the execution time but also the cost, because the cost can be one of the most important issue. In this paper, we propose a methodology to quickly evaluate the performance and cost of Virtual Clusters for parallel scientific application that uses parallel I/O. From the parallel application I/O model automatically extracted with our tool PAS2P-IO, we obtain the I/O requirements and then the user can select the Virtual Cluster that meets the application requirements. The application I/O model does not depend on the underlying I/O system. One of the main benefits of applying our methodology is that it is not necessary to execute the application to select the Virtual Cluster on cloud. Finally, costs and performance-cost ratio for the Virtual Clusters are provided to facilitate the decision making on the selection of resources on a cloud platform.Facultad de Informática2015-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf23-29http://sedici.unlp.edu.ar/handle/10915/44773enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr15-4.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/3.0/Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T10:54:37Zoai:sedici.unlp.edu.ar:10915/44773Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:54:38.044SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Hopes and facts in evaluating the performance of HPC-I/O on a cloud environment
title Hopes and facts in evaluating the performance of HPC-I/O on a cloud environment
spellingShingle Hopes and facts in evaluating the performance of HPC-I/O on a cloud environment
Gómez Sánchez, Pilar
Ciencias Informáticas
Parallel I/O
application I/O model
I/O system
Cloud Cluster
I/O phases
I/O access pattern
I/O configuration
title_short Hopes and facts in evaluating the performance of HPC-I/O on a cloud environment
title_full Hopes and facts in evaluating the performance of HPC-I/O on a cloud environment
title_fullStr Hopes and facts in evaluating the performance of HPC-I/O on a cloud environment
title_full_unstemmed Hopes and facts in evaluating the performance of HPC-I/O on a cloud environment
title_sort Hopes and facts in evaluating the performance of HPC-I/O on a cloud environment
dc.creator.none.fl_str_mv Gómez Sánchez, Pilar
Méndez, Sandra
Rexachs del Rosario, Dolores
Luque, Emilio
author Gómez Sánchez, Pilar
author_facet Gómez Sánchez, Pilar
Méndez, Sandra
Rexachs del Rosario, Dolores
Luque, Emilio
author_role author
author2 Méndez, Sandra
Rexachs del Rosario, Dolores
Luque, Emilio
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Parallel I/O
application I/O model
I/O system
Cloud Cluster
I/O phases
I/O access pattern
I/O configuration
topic Ciencias Informáticas
Parallel I/O
application I/O model
I/O system
Cloud Cluster
I/O phases
I/O access pattern
I/O configuration
dc.description.none.fl_txt_mv Currently, there is an increasing interest about the cloud platform by the High Performance Computing (HPC) community, and the Parallel I/O for High Performance Systems is not an exception. In cloud platforms, the user takes into account not only the execution time but also the cost, because the cost can be one of the most important issue. In this paper, we propose a methodology to quickly evaluate the performance and cost of Virtual Clusters for parallel scientific application that uses parallel I/O. From the parallel application I/O model automatically extracted with our tool PAS2P-IO, we obtain the I/O requirements and then the user can select the Virtual Cluster that meets the application requirements. The application I/O model does not depend on the underlying I/O system. One of the main benefits of applying our methodology is that it is not necessary to execute the application to select the Virtual Cluster on cloud. Finally, costs and performance-cost ratio for the Virtual Clusters are provided to facilitate the decision making on the selection of resources on a cloud platform.
Facultad de Informática
description Currently, there is an increasing interest about the cloud platform by the High Performance Computing (HPC) community, and the Parallel I/O for High Performance Systems is not an exception. In cloud platforms, the user takes into account not only the execution time but also the cost, because the cost can be one of the most important issue. In this paper, we propose a methodology to quickly evaluate the performance and cost of Virtual Clusters for parallel scientific application that uses parallel I/O. From the parallel application I/O model automatically extracted with our tool PAS2P-IO, we obtain the I/O requirements and then the user can select the Virtual Cluster that meets the application requirements. The application I/O model does not depend on the underlying I/O system. One of the main benefits of applying our methodology is that it is not necessary to execute the application to select the Virtual Cluster on cloud. Finally, costs and performance-cost ratio for the Virtual Clusters are provided to facilitate the decision making on the selection of resources on a cloud platform.
publishDate 2015
dc.date.none.fl_str_mv 2015-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/44773
url http://sedici.unlp.edu.ar/handle/10915/44773
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr15-4.pdf
info:eu-repo/semantics/altIdentifier/issn/1666-6038
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
dc.format.none.fl_str_mv application/pdf
23-29
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
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score 13.22299

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