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01.11.2015 | Patient Facing Systems

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

verfasst von: George Suciu, Victor Suciu, Alexandru Martian, Razvan Craciunescu, Alexandru Vulpe, Ioana Marcu, Simona Halunga, Octavian Fratu

Erschienen in: Journal of Medical Systems | Ausgabe 11/2015

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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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Titel: Big Data, Internet of Things and Cloud Convergence – An Architecture for Secure E-Health Applications
verfasst von: George Suciu
Victor Suciu
Alexandru Martian
Razvan Craciunescu
Alexandru Vulpe
Ioana Marcu
Simona Halunga
Octavian Fratu
Publikationsdatum: 01.11.2015
Verlag: Springer US
Erschienen in: Journal of Medical Systems / Ausgabe 11/2015
Print ISSN: 0148-5598
Elektronische ISSN: 1573-689X
DOI: https://doi.org/10.1007/s10916-015-0327-y

Live-Webinar "Chronische Unterbauch- und Viszeralschmerzen in der Praxis managen"

Springer Medizin

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

Abstract

Live-Webinar "Chronische Unterbauch- und Viszeralschmerzen in der Praxis managen"

Springer Medizin

Abstract

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