Fog Computing for Intelligent Cloud IoT Systems

8Fog Computing in Healthcare: Application Taxonomy, Challenges and Opportunities

Subrata Datta¹* and Priyanka Datta²

¹ Department of AIML, Netaji Subhash Engineering College, Kolkata, West Bengal, India

²Department of CSE, Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India

Abstract

Advancements in science and technology have commenced the era of the Internet of Things (IoT). Service-related activities with the IoT generate a large volume of heterogeneous data. Storing and processing a high volume of data using traditional techniques increases production costs. Therefore, fog computing (FC) paradigm has been introduced to mitigate the production costs. This fact makes fog computing an emerging area of research in recent time. Technically, FC functions as an initial computing paradigm in the domain of cloud computing (CC). The fog computing paradigm covers a wide variety of applications in different sectors such as transportation, navigation, and agriculture. Among the several applications of fog computing, healthcare is the most promising. Rapid global population growth has created new challenges for healthcare services. In this respect, traditional healthcare services suffer from scarcity of doctors and medical equipment. This also increases the cost of treatment. To eliminate this, the fog computing paradigm has been applied in healthcare services such as diagnosis and monitoring. Fog computing provides real-time remote solutions to medical problems or ...