Title |
Big Data, Internet of Things and Cloud Convergence – An Architecture for Secure E-Health Applications
|
---|---|
Published in |
Journal of Medical Systems, September 2015
|
DOI | 10.1007/s10916-015-0327-y |
Pubmed ID | |
Authors |
George Suciu, Victor Suciu, Alexandru Martian, Razvan Craciunescu, Alexandru Vulpe, Ioana Marcu, Simona Halunga, Octavian Fratu |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 60% |
Spain | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Finland | 1 | <1% |
Brazil | 1 | <1% |
Unknown | 295 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 57 | 19% |
Student > Master | 54 | 18% |
Student > Bachelor | 35 | 12% |
Researcher | 21 | 7% |
Student > Doctoral Student | 20 | 7% |
Other | 52 | 18% |
Unknown | 58 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 113 | 38% |
Engineering | 43 | 14% |
Medicine and Dentistry | 13 | 4% |
Business, Management and Accounting | 11 | 4% |
Nursing and Health Professions | 11 | 4% |
Other | 35 | 12% |
Unknown | 71 | 24% |