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

Julio C.S. dos Anjos, Marcos D. Assuncao, Jean Bez, Claudio Geyer, Edison Pignaton de Freitas, Alexandre Carissimi, Joao Paulo C. L. Costa, Gilles Fedak, Felix Freitag, Volker Markl, Paul Fergus, Rubem Pereira
2015 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing  
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
more » ... g 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.
doi:10.1109/cit/iucc/dasc/picom.2015.29 dblp:conf/IEEEcit/AnjosABGFCCFFMF15 fatcat:pp3t6xrdzzb6df5fwalnyglwoe