| 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
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
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
The data shown below were compiled from readership statistics for 297 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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 | 58 | 20% |
| Student > Master | 53 | 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 | 114 | 38% |
| Engineering | 43 | 14% |
| Medicine and Dentistry | 13 | 4% |
| Nursing and Health Professions | 11 | 4% |
| Business, Management and Accounting | 11 | 4% |
| Other | 34 | 11% |
| Unknown | 71 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 November 2023.
All research outputs
#14,931,873
of 25,898,387 outputs
Outputs from Journal of Medical Systems
#569
of 1,293 outputs
Outputs of similar age
#130,019
of 279,974 outputs
Outputs of similar age from Journal of Medical Systems
#10
of 41 outputs
Altmetric has tracked 25,898,387 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,293 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 55% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 279,974 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.