@InProceedings{AlmeidaKoga:2017:FrAnMa,
               author = "Almeida, Eugenio Sper de and Koga, Ivo Kenji",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "A framework to analyze massive data from applications and services 
                         of a meteorological data center",
                 year = "2017",
         organization = "World Congress on Systems Engineering and Information Technology",
             abstract = "The Center for Weather Forecasting and Climate Studies (CPTEC) 
                         produces and disseminates results from Numerical Weather 
                         Prediction (NWP) models simulations to Brazil and South America. 
                         In order to accomplish this task, its data center hosts a 
                         supercomputer and many other computational resources that receives 
                         data from many heterogeneous sources. To find and solve problems, 
                         it is important to monitor several computational resources of the 
                         data center twenty-four hours a day, seven days a week. This paper 
                         presents a framework to collect and analyze massive data from a 
                         meteorological data center. The results show the analysis of 
                         NetFlow and File Transfer Protocol (FTP) server log data, which 
                         helped the CPTEC monitoring team advance their knowledge of 
                         infrastructure usage and problems solution.",
  conference-location = "Guimar{\~a}es, Portugal",
      conference-year = "26-29 nov.",
             language = "en",
           targetfile = "almeida_framework.pdf",
        urlaccessdate = "27 abr. 2024"
}