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

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...

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Published in:Journal of Medical Systems Vol. 39; no. 11; pp. 1 - 9
Main Authors: Suciu, George, Suciu, Victor, Martian, Alexandru, Craciunescu, Razvan, Vulpe, Alexandru, Marcu, Ioana, Halunga, Simona, Fratu, Octavian
Format: pictorial tables/charts Journal Article
Published: Springer Nature Nov2015
Online Access:View this record in EBSCOhost
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      dt: Nov2015
      vid: 39
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      pub: Springer Nature
      place: New York, New York
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        atl: Big Data, Internet of Things and Cloud Convergence - An Architecture for Secure E-Health Applications.
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          Suciu, George
          Suciu, Victor
          Martian, Alexandru
          Craciunescu, Razvan
          Vulpe, Alexandru
          Marcu, Ioana
          Halunga, Simona
          Fratu, Octavian
        affil: Faculty of Electronics, Telecommunications and IT, Telecommunication Department, University POLITEHNICA of Bucharest, 060071 Bucharest-6 Romania
      sug:
        subj:
          Telehealth
          Cloud Computing
          Data Analytics
          World Wide Web
          Systems Design
          Data Security
          Encryption
          Chronic Disease
          Monitoring, Physiologic
          Wearable Sensors
          Web Search Engines
          Funding Source
      ab: 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.
      pubtype: Academic Journal
      doctype:
        pictorial
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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