A WEB FRAMEWORK FOR ADVANCED AND INTENSIVE NONLINEAR TIME SERIES ANALYSIS
Bruno B. F. Leonor1; Walter A. dos Santos1; Asiel Bomfin1; Reinaldo R. Rosa1
1 INPE
Resumo
Using the e-Science paradigm, computers play a key role in supporting scientific areas such as those using nonlinear time series analysis to understand seemingly unpredictable behavior. This work presents a web framework supporting researchers in this class of analysis in a cloud environment where they can access, parameterize, initialize and monitor their applications transparently. Moreover, new applications can be added and managed by researchers on the portal easily. As a case study, techniques such as detrended fluctuation analysis (DFA) and gradient pattern analysis (GPA) will be added and used for intensive time series analysis in the Brazilian Space Weather Program.
Palavras-chave: Time Series Analysis; Nonlinear Dynamics and Complex Systems; Chaos and Global Nonlinear Dynamics; Web Framework; High-Performance Computing