Fog Computing in the Internet of Things: Challenges and Opportunities

The expansion of the Internet of Things (IoT) has made it possible for numerous widespread objects to connect to one another and communicate with one another, leading to unprecedented data releases. However, regardless of the fact that cloud computing has been a useful tool for processing and storing these data, problems like the growing demand for real-time applications and the constrained availability of network bandwidth cannot yet be resolved solely through the use of cloud computing. As a supplement to the cloud solution, a new approach to computing called the fog computing paradigm has been developed. By moving processing, connectivity, and capacity nearer to edge gadgets and end clients and taking cloud computing to the network’s edge, fog computing aims to increase low latency, activity, data traffic, reliability, and privacy. The present paper discusses the framework of the fog computing model and presents a literature survey of various works that is carried out on fog computing. It also covers the current problems and difficulties in fog computing and opportunities for research in the area of Fog computing for the Internet of Things.