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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doaj-e92a6072d4e540af986f63effaa81b2d2021-05-05T13:43:26ZengPostgraduate Office, School of Computer Science, Universidad Nacional de La PlataJournal of Computer Science and Technology1666-60461666-60382015-04-0115012329257Hopes and facts in evaluating the performance of HPC-I/O on a cloud environmentPilar Gómez Sánchez0Sandra Méndez1Dolores Rexachs del RosarioEmilio Luque2Computer Architecture and Operating Systems Department (CAOS), Universität Autónoma de Barcelona, Bellaterra (Barcelona), SpainHigh Performance Systems Division Leibniz Supercomputing Centre (LRZ), Garching (Munich), Germany.Computer Architecture and Operating Systems Department (CAOS), Universität Autónoma de Barcelona, Bellaterra (Barcelona), SpainCurrently, 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.https://journal.info.unlp.edu.ar/JCST/article/view/528application i/o modeli/o systemcloud clusteri/o phasesi/o access patterni/o configuration |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pilar Gómez Sánchez Sandra Méndez Dolores Rexachs del Rosario Emilio Luque |
spellingShingle |
Pilar Gómez Sánchez Sandra Méndez Dolores Rexachs del Rosario Emilio Luque Hopes and facts in evaluating the performance of HPC-I/O on a cloud environment Journal of Computer Science and Technology application i/o model i/o system cloud cluster i/o phases i/o access pattern i/o configuration |
author_facet |
Pilar Gómez Sánchez Sandra Méndez Dolores Rexachs del Rosario Emilio Luque |
author_sort |
Pilar Gómez Sánchez |
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 |
publisher |
Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata |
series |
Journal of Computer Science and Technology |
issn |
1666-6046 1666-6038 |
publishDate |
2015-04-01 |
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. |
topic |
application i/o model i/o system cloud cluster i/o phases i/o access pattern i/o configuration |
url |
https://journal.info.unlp.edu.ar/JCST/article/view/528 |
work_keys_str_mv |
AT pilargomezsanchez hopesandfactsinevaluatingtheperformanceofhpcioonacloudenvironment AT sandramendez hopesandfactsinevaluatingtheperformanceofhpcioonacloudenvironment AT doloresrexachsdelrosario hopesandfactsinevaluatingtheperformanceofhpcioonacloudenvironment AT emilioluque hopesandfactsinevaluatingtheperformanceofhpcioonacloudenvironment |
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1721461480073723904 |