Fog Computing for Smart Healthcare data Analytics: An Urgent Necessity

The advent of Internet of Things (IoT) technologies in the 21st century has led to exciting achievements. IoT smart medical devices along with wearables are generating and communicating high volume and high-velocity of heterogeneous data. Consequently, services provided by traditional methods such as cloud computing to manage these data become insufficient. Fog computing is seen as being the most effective solution for IoT-based healthcare. The stringy demand of this model was principally driven by a growing need for real-time analysis and low latency. It is apparently envisioned that the medicine field expects to draw enormous interest in combining IoT and fog computing. This in turn, improved the patient treatment, staff satisfaction, and operational efficiency and showed positive influence on all aspects of healthcare. This paper has reviewed fog computing in the context of medical IoT while comparing it with cloud computing and has attempted to present the three-layer architecture of fog-based healthcare system containing: edge, fog and cloud. It has also highlighted challenges facing IoT-driven healthcare in an ever-changing world.