Implementing Architecture of Fog Computing for Healthcare Systems based on IoT
Mayank Singh1, Viranjay M. Srivastava2
1Mayank Singh, Department of Electrical, Electronic and Computer Engineering, Howard College Campus, University of KwaZulu-Natal, Durban South Africa.
2Viranjay M. Srivastava, Department of Electrical, Electronic and Computer Engineering, Howard College Campus, University of KwaZulu-Natal, Durban South Africa.
Manuscript received on 22 March 2019 | Revised Manuscript received on 05 April 2019 | Manuscript Published on 11 April 2019 | PP: 23-27 | Volume-8 Issue-4C, April 2019 | Retrieval Number: D24160484C19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Healthcare has been highly benefited with the technology advancement. Technology-based new solutions, methods, applications, and systems completely revolutionize the healthcare industry. Earlier the decision making of doctor entirely depends on the experience, domain knowledge, laboratory reports, diagnostics and patient’s symptoms. With the advancement of technology in healthcare, the decision-making will be highly advanced and add wisdom to it. The patient’s care and regular monitoring have been vastly improved at low cost with the appearance of the Internet of things based healthcare systems. There are a lot of Internet of Things (IoT) based healthcare devices that produces enormous of data and transfer to the cloud for analysing and sharing with other stakeholders. Cloud computing is the backbone for such devices to collect, analyse and share the data or result with all the concern persons. Data are increasing day by day as the user base of IoT based healthcare devices has also been increased in folds. Due to such high volume of data, the latency rate, security issues and quality of analysed data has been decreased on the cloud. To overcome such limitation of cloud, a new paradigm called Fog computing has appeared. Fog computing is the intermediate layer between sensors and cloud servers. It facilitates the data gathering from various nearby sensors, analyses the data and provides the result to the sensor, cloud servers and other concerns locally. Deploying such computing infrastructure locally reduces the cost and increase the quality of analysis and alerting in real time. It also adds the security to the data as it is processed locally. This paper proposed an architecture to implement the fog computing between IoT sensors and cloud to handle the medical data.
Keywords: Fog Computing, Healthcare Systems, IoT Based Healthcare Applications.
Scope of the Article: IoT