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@Article{LeonorDosSBomfRosa:2018:NoTiSe,
               author = "Leonor, Bruno Bustamente Ferreira and Dos Santos, Walter 
                         Abrah{\~a}o and Bomfin J{\'u}nior, Asiel and Rosa, Reinaldo 
                         Roberto",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Nonlinear time series analysis of complex systems using an 
                         e-science web framework",
              journal = "Discontinuity, Nonlinearity, and Complexity",
                 year = "2018",
               volume = "7",
               number = "2",
                pages = "129--141",
             abstract = "The analysis of time series in the era of Big Data has become a 
                         major challenge for computational framework research. Furthemore, 
                         in the areas of space science which deals with a large variety of 
                         data, the practical consistence between workload, workflow and 
                         cloud computing is crucial. Here, such consistence is provided by 
                         an innovative e-Science framework project named Sentinel which is 
                         based on a NoSQL data base (MongoDB) and a containerization 
                         platform (Docker). This web framework supports researchers for 
                         time series analysis in a cloud environment where they can easily 
                         access, parameterize, initialize and monitor their applications. 
                         As a case study in the Brazilian Space Weather Program, we 
                         consider the intensive analysis of time series from a complex 
                         information system for solar activity monitoring and forecasting. 
                         As a prototype for implementing the framework, the DFA (detrended 
                         fluctuation analysis) technique was used as a nonlinear spectrum 
                         analyzer applied to the solar irradiance measurements from 1978 to 
                         2012. Moreover, new applications can be added and managed by 
                         researchers on the portal easily to complement their data analysis 
                         purposes.",
                  doi = "10.5890/DNC.2018.06.002",
                  url = "http://dx.doi.org/10.5890/DNC.2018.06.002",
                 issn = "2164-6376",
             language = "en",
        urlaccessdate = "28 nov. 2020"
}


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