A dynamic resource allocation approach to obtain load balancing in fog computing environment

Abstract

Fog is yet another emerging architecture that is intended for deflating the burdens at clouds and core network by using intensive resource functionalities such as computation, communication and storage. It is an extension to cloud storage provided so as to utilize its services at an edge level. In order to make it happen in a way we desire it to provide us with the working environment we need to manage the resources efficiently and make sure that the computational nodes are not overloaded with work individually and work together. To make it happen we work on a comprehensive dynamic resource allocation for load balancing and improve the latency as far as the existing models are concerned.