Convergence of Cloud with AI for Big Data Analytics

7Analyzing the Application of Edge Computing in Smart Healthcare

Parul Verma* and Umesh Kumar

Amity Institute of Information Technology, Amity University, Uttar Pradesh, Lucknow, India

Abstract

The evolution of IoT devices is not only to facilitate the human lives, but at the same time its potential is exploited by various industries that include agriculture industry, healthcare industry, manufacturing industry, and everything in between. It provides wide range of applications to these industries and makes them to work more smartly, accurately and efficiently. IoT Architecture consists of various connected devices; they may be sensors, smart phones, or wearables that produce data which is transmitted to the cloud through IoT gateway. After processing and ana-lyzing the data, the resultant data is forwarded back to the device for execution of further tasks. The volume of the collected raw data is huge that consequences various challenges like low latency, high bandwidth, data analysis and many more. Integrating edge computing into existing IoT architecture is a possible solution to overcome these challenges. Edge computing supports data processing near to the devices that generates it. In this chapter we are going to present an analytical view of application of edge computing for Smart Healthcare and discuss various edge architectures that are available and are being exploited by the smart healthcare applications along with the prospective uses cases in healthcare sector.