Optimizing Telemedicine Framework Using Fog Computing for Smart Healthcare Systems

Abstract

Michael Enbibel Kelkile

The main aim of this research is to optimize the telemedicine framework using fog computing for smart healthcare systems in IoT ecosystem. In this research we have studied about the historical background, different architectural designs and approaches of the pre-existing telemedicine and smart healthcare systems. This research mainly focuses on the drawbacks and different issues that arise while developing and implementing a smart telemedicine system. We used Fog computing or fogging to solve the problems and also to optimize the telemedicine framework with 263 ms for smart healthcare systems. Generally this research work proposes, validates and evaluates telemedicine frameworks using Cloud Computing and Fog computing for smart healthcare systems. The research also shows and guides how to optimize and overcome the drawbacks of the issues that arises mainly the Network Latency issue. The finding in this project has a guide for the future in-order to come up with a sharp edged, most reliable and robust smart healthcare system in telemedicine framework for IoT ecosystem. It can also be used as a part of a smart healthcare system in the Smart cities in the future.

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