Challenges for mesoscale climatology execution on experimental grid computing systems

被引：0

作者：

Almeida, Eugenio Sper de ^{[1
]}

Campos Velho, Haroldo Fraga de ^{[2
]}

Preto, Airam Jonatas ^{[3
]}

机构：

[1] Centro de Previsão de Tempo e Estudos Climáticos (CPTEC), Instituto Nacional de Pesquisas Espaciais (INPE), Rod. Pres. Dutra, Km 39, Cachoeira Paulista, SP, Brazil

[2] Laboratório Associado de Computação e Matemática Aplicada (LAC), Instituto Nacional de Pesquisas Espaciais (INPE), Av. dos Astronautas, 1758 São José dos Campos, SP, Brazil

[3] Serviço Corporativo de Tecnologia da Informação (STI), Instituto Nacional de Pesquisas Espaciais (INPE), Av. dos Astronautas, 1758 São José dos Campos, SP, Brazil

来源：

Journal of the Brazilian Computer Society | 2013年 / 19卷 / 03期

关键词：

Data transfer - Digital storage - Climatology;

D O I：

10.1007/s13173-013-0099-5

中图分类号：

学科分类号：

摘要：

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. © 2013 The Brazilian Computer Society.

引用

页码：279 / 290

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