@Article{AlmeidaCampPret:2013:ChMeCl,
               author = "Almeida, Eugenio Sper de and Campos Velho, Haroldo Fraga de and 
                         Preto, Airam Jonatas",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Challenges for mesoscale climatology execution on experimental 
                         grid computing systems",
              journal = "Journal of the Brazilian Chemical Society",
                 year = "2013",
               volume = "19",
               number = "3",
                pages = "279--290",
                month = "Sept.",
                 note = "{Setores de Atividade: Pesquisa e desenvolvimento 
                         cient{\'{\i}}fico.}",
             keywords = "grid computing, climatology, BRAMS: mesoscale numerical 
                         atmospheric model, Globus, OurGrid, OAR/CiGri.",
             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, S{\~a}o Jos{\'e} 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.",
                  doi = "10.1007/s13173-013-0099-5",
                  url = "http://dx.doi.org/10.1007/s13173-013-0099-5",
                 issn = "0104-6500",
                label = "lattes: 5142426481528206 2 AlmeidaCampPret:2013:ChMeCl",
             language = "en",
           targetfile = "Almeida_Challenges.PDF",
                  url = "http://link.springer.com/article/10.1007/s13173-013-0099-5",
        urlaccessdate = "27 abr. 2024"
}