%0 Journal Article
%4 dpi.inpe.br/plutao/2013/05.31.17.42
%2 dpi.inpe.br/plutao/2013/05.31.17.42.22
%@doi 10.1007/s13173-013-0099-5
%@issn 0104-6500
%F lattes: 5142426481528206 2 AlmeidaCampPret:2013:ChMeCl
%T Challenges for mesoscale climatology execution on experimental grid computing systems
%D 2013
%8 Sept.
%A Almeida, Eugenio Sper de,
%A Campos Velho, Haroldo Fraga de,
%A Preto, Airam Jonatas,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress eugenio.almeida@cptec.inpe.br
%@electronicmailaddress haroldo@lac.inpe.br
%B Journal of the Brazilian Chemical Society
%V 19
%N 3
%P 279-290
%K grid computing, climatology, BRAMS: mesoscale numerical atmospheric model, Globus, OurGrid, OAR/CiGri.
%X 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 ensemblemembers.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 PaulistaBrazil). 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.
%@language en
%3 Almeida_Challenges.PDF
%U http://link.springer.com/article/10.1007/s13173-013-0099-5
%O Setores de Atividade: Pesquisa e desenvolvimento científico.