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Big Data, Internet of Things and Cloud Convergence – An Architecture for Secure E-Health Applications

  • Patient Facing Systems
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Abstract

Big data storage and processing are considered as one of the main applications for cloud computing systems. Furthermore, the development of the Internet of Things (IoT) paradigm has advanced the research on Machine to Machine (M2M) communications and enabled novel tele-monitoring architectures for E-Health applications. However, there is a need for converging current decentralized cloud systems, general software for processing big data and IoT systems. The purpose of this paper is to analyze existing components and methods of securely integrating big data processing with cloud M2M systems based on Remote Telemetry Units (RTUs) and to propose a converged E-Health architecture built on Exalead CloudView, a search based application. Finally, we discuss the main findings of the proposed implementation and future directions.

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Acknowledgments

This work has been funded by the Sectoral Operational Programme Human Resources Development 2007–2013 of the Ministry of European Funds through the Financial Agreement POSDRU/159/1.5/S/134398, POSDRU/159/1.5/S/134397 and POSDRU/159/1.5/S/132395 and supported in part by UEFISCDI Romania under grants no. 262EU/2013 “eWALL” support project, grant no. 337E/2014 “Accelerate” project and by European Commission by FP7 IP project no. 610658/2013 “eWALL for Active Long Living - eWALL”.

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Correspondence to George Suciu.

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This article is part of the Topical Collection on Patient Facing Systems

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Suciu, G., Suciu, V., Martian, A. et al. Big Data, Internet of Things and Cloud Convergence – An Architecture for Secure E-Health Applications. J Med Syst 39, 141 (2015). https://doi.org/10.1007/s10916-015-0327-y

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