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		<doi>10.5890/DNC.2018.06.002</doi>
		<issn>2164-6376</issn>
		<citationkey>LeonorDosSBomfRosa:2018:NoTiSe</citationkey>
		<title>Nonlinear time series analysis of complex systems using an e-science web framework</title>
		<year>2018</year>
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		<author>Leonor, Bruno Bustamente Ferreira,</author>
		<author>Dos Santos, Walter Abrahão,</author>
		<author>Bomfin Júnior, Asiel,</author>
		<author>Rosa, Reinaldo Roberto,</author>
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		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
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		<electronicmailaddress>walter.abrahao@inpe.br</electronicmailaddress>
		<electronicmailaddress>asiel.bomfin@inpe.br</electronicmailaddress>
		<electronicmailaddress>reinaldo.rosa@inpe.br</electronicmailaddress>
		<journal>Discontinuity, Nonlinearity, and Complexity</journal>
		<volume>7</volume>
		<number>2</number>
		<pages>129-141</pages>
		<secondarymark>B5_ENGENHARIAS_III B5_CIÊNCIA_DA_COMPUTAÇÃO</secondarymark>
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		<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.</abstract>
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		<language>en</language>
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