Comparing Outcome of Fog Computing with Cloud Computing for detecting diseases in Healthcare

Abstract

In today’s world, majority of people are suffering from one or the other disease that may cause severe health problems. In order to reduce the effect of diseases on person’s health, its detection at early stage is very important. Various technologies have been developed which can be used in Healthcare sector for detection of diseases in humans. IoT (Internet of Things) devices have the ability to sense and disseminate patient data. The huge amount of data created by intelligent IoT equipments is processed by fog devices. Fog computing in healthcare is becoming very popular as it brings processing capabilities to the edge of the network. As a result real time response to Health relaed problems is now possible.In this paper we compare the outcome of Fog Computing technology with Cloud Computing technology in terms of propagation latency time, network use and energy consumption for detecting diseases in humans. The data produced in IoT devices is preserved in cloud for long term processing to produce statistical results. It helps in strong backups, recovery and high availability.