SMART: An Application Framework for Real Time Big Data Analysis on Heterogeneous Cloud Environments

Abstract : The amount of data that human activities generate poses a challenge to current computer systems. Big data processing techniques are evolving to address this challenge, with analysis increasingly being performed using cloud-based systems. Emerging services, however, require additional enhancements in order to ensure their applicability to highly dynamic and heterogeneous environments and facilitate their use by Small & Medium-sized Enterprises (SMEs). Observing this landscape in emerging computing system development, this work presents Small & Medium-sized Enterprise Data Analytic in Real Time (SMART) for addressing some of the issues in providing compute service solutions for SMEs. SMART offers a framework for efficient development of Big Data analysis services suitable to small and medium-sized organizations, considering very heterogeneous data sources, from wireless sensor networks to data warehouses, focusing on service composability for a number of domains. This paper presents the basis of this proposal and preliminary results on exploring application deployment on hybrid infrastructure.
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15th IEEE Int. Conf. on Computer and Information Technology (CIT), Oct 2015, Liverpool, United Kingdom. pp.199-206, 2015, 2015 IEEE International Conference on Computer and Information Technology (CIT). 〈10.1109/CIT/IUCC/DASC/PICOM.2015.29〉
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Julio C. S. dos Anjos, Marcos Dias de Assuncao, Jean Bez, Claudio Geyer, Edison Pignaton de Freitas, et al.. SMART: An Application Framework for Real Time Big Data Analysis on Heterogeneous Cloud Environments. 15th IEEE Int. Conf. on Computer and Information Technology (CIT), Oct 2015, Liverpool, United Kingdom. pp.199-206, 2015, 2015 IEEE International Conference on Computer and Information Technology (CIT). 〈10.1109/CIT/IUCC/DASC/PICOM.2015.29〉. 〈hal-01199200〉

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