Title | ||
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Challenges for mesoscale climatology execution on experimental grid computing systems. |
Abstract | ||
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This paper discusses the challenges of executing a long-term application on a computational grid, which generates the climatology of the atmospheric numerical model BRAMS (Brazilian development on Regional Atmospheric Modeling System) using ensemble members. We have developed a workflow that submits climatology to the computational grid composed by three different grid middlewares (OurGrid, OAR/CiGri and Globus) and three clusters (situated in Porto Alegre, São José dos Campos and Cachoeira Paulista—Brazil). The application characteristics demand a processing grid, rather than a data grid, due to intensive computation and data transfer between the geographically distributed grid nodes. We achieved the goal of generating the climatology using a computational grid. However, we observed problems on application performance due data transfer and non-availability of the computational grid. Questions related to data storage/transfer and grid failures must be better treated to ensure application performance. |
Year | DOI | Venue |
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2013 | 10.1007/s13173-013-0099-5 | J. Braz. Comp. Soc. |
Keywords | Field | DocType |
Grid computing, Climatology, Mesoscale numerical atmospheric model, BRAMS, Globus, OurGrid, OAR/CiGri | Data structure,Grid computing,Computer science,Computer data storage,Data grid,Regional Atmospheric Modeling System,Computational science,Climatology,Workflow,Grid,OurGrid | Journal |
Volume | Issue | ISSN |
19 | 3 | 1678-4804 |
Citations | PageRank | References |
0 | 0.34 | 17 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Eugenio Sper de Almeida | 1 | 0 | 0.68 |
Haroldo Fraga de Campos Velho | 2 | 2 | 1.76 |
Airam Jonatas Preto | 3 | 5 | 1.88 |