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

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 cos...

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Autores principales: Gómez Sánchez, Pilar, Méndez, Sandra, Rexachs del Rosario, Dolores, Luque, Emilio
Formato: Articulo
Lenguaje:Inglés
Publicado: 2015
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/44773
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr15-4.pdf
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id I19-R120-10915-44773
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
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
spellingShingle Ciencias Informáticas
Parallel I/O
application I/O model
I/O system
Cloud Cluster
I/O phases
I/O access pattern
I/O configuration
Gómez Sánchez, Pilar
Méndez, Sandra
Rexachs del Rosario, Dolores
Luque, Emilio
Hopes and facts in evaluating the performance of HPC-I/O on a cloud environment
topic_facet Ciencias Informáticas
Parallel I/O
application I/O model
I/O system
Cloud Cluster
I/O phases
I/O access pattern
I/O configuration
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.
format Articulo
Articulo
author Gómez Sánchez, Pilar
Méndez, Sandra
Rexachs del Rosario, Dolores
Luque, Emilio
author_facet Gómez Sánchez, Pilar
Méndez, Sandra
Rexachs del Rosario, Dolores
Luque, Emilio
author_sort Gómez Sánchez, Pilar
title Hopes and facts in evaluating the performance of HPC-I/O on a cloud environment
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
publishDate 2015
url http://sedici.unlp.edu.ar/handle/10915/44773
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr15-4.pdf
work_keys_str_mv AT gomezsanchezpilar hopesandfactsinevaluatingtheperformanceofhpcioonacloudenvironment
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AT rexachsdelrosariodolores hopesandfactsinevaluatingtheperformanceofhpcioonacloudenvironment
AT luqueemilio hopesandfactsinevaluatingtheperformanceofhpcioonacloudenvironment
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