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		<doi>10.1007/s13173-013-0099-5</doi>
		<issn>0104-6500</issn>
		<label>lattes: 5142426481528206 2 AlmeidaCampPret:2013:ChMeCl</label>
		<citationkey>AlmeidaCampPret:2013:ChMeCl</citationkey>
		<title>Challenges for mesoscale climatology execution on experimental grid computing systems</title>
		<year>2013</year>
		<month>Sept.</month>
		<secondarytype>PRE PN</secondarytype>
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		<size>1016 KiB</size>
		<author>Almeida, Eugenio Sper de,</author>
		<author>Campos Velho, Haroldo Fraga de,</author>
		<author>Preto, Airam Jonatas,</author>
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		<group>LAC-CTE-INPE-MCTI-GOV-BR</group>
		<group>STI-CTO-INPE-MCTI-GOV-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>eugenio.almeida@cptec.inpe.br</electronicmailaddress>
		<electronicmailaddress>haroldo@lac.inpe.br</electronicmailaddress>
		<e-mailaddress>haroldo@lac.inpe.br</e-mailaddress>
		<journal>Journal of the Brazilian Chemical Society</journal>
		<volume>19</volume>
		<number>3</number>
		<pages>279-290</pages>
		<secondarymark>B1 B1 B2 B2 B2 B2 B2 B3 B4 B5 C C C</secondarymark>
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		<keywords>grid computing, climatology, BRAMS: mesoscale numerical atmospheric model, Globus, OurGrid, OAR/CiGri.</keywords>
		<abstract>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.</abstract>
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		<language>en</language>
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		<copyright>urlib.net/www/2012/11.12.14.05</copyright>
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		<url>http://link.springer.com/article/10.1007/s13173-013-0099-5</url>
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		<notes>Setores de Atividade: Pesquisa e desenvolvimento científico.</notes>
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