Evolution of Emerging Computing paradigm Cloud to Fog: Applications, Limitations and Research Challenges
Mohit Kumar, Kalka Dubey, Rakesh Kumar Pandey
Abstract
Cloud computing is not only providing the plethora of services in the form of resources (computational, storage etc) to end user but also contributing the major role in the development of internet of things (IoT) applications. The applications of IoT has been adopted quickly in several area to create the smart environment like healthcare, smart transportation, smart home and agriculture etc. Therefore, everyone wants to connect with the internet, but these devices generate huge amount of data that cannot be process by IoT devices due to limited computational as well as storage capability. It's become important to integrate the cloud with IoT (CoT) to process this data. Infrastructure of CoT is heterogeneous, complex and geographically distributed where traditional cloud model failed to process this data due to high latency and scalability. Hence, fog computing is used to process the real time applications closer to data sources and improve the latency, energy, scalability and resist network congestion. In this article, we extensively address the cloud computing, CoT paradigms along with its applications, architecture, research challenges and limitations. Further, we elaborate the working principle of fog for several types of applications and it also worked as glue between cloud and IoT.