A Novel Load Balancing Technique for Smart Application in a Fog Computing Environment

Abstract

Internet of Things (IoT) induces an immense volume of data every day. Smart IoT based applications need immediate response and processing of data, for which fog computing was introduced. Fog computing contains many small-scale data centres, which helps to process the incoming data from IoT immediately. More the data more is the requirement of resources in the fog layer. Hence there may be overloading of data, which needs to be handled directly. There is a need to provide a framework that can reduce energy consumption and enhance resource utilization during storage, processing and network functioning. This article proposed smart traffic management architecture, which improves resource utilization and conserves intelligent vehicles' energy. The article also proposes a load balancing algorithm for avoiding the overloading of resources in the proposed architecture while executing a large number of vehicle requests. Further, this paper provides some key challenges and issues of fog computing. The article concludes by providing future directions.