Threshold based load balancer for efficient resource utilization of smart grid using cloud computing

Abstract

Cloud computing is infrastructure which provides services to end users and increases the efficiency of the system. Fog computing is the extension of cloud computing which distributes load of cloud servers on different fog servers and enhance the overall performance of cloud. Smart Grid (SG) is the combination of traditional grid and information,communication and technology. The purpose of integration of cloud-fog based system and smart grid in this paper is to enhance the energy management services. In this paper a four layered cloud-fog based architecture is proposed to reduce the load of power requests. Three different load balancing algorithms: Round Robin (RR), Particle Swarm Optimization (PSO) and Threshold Based Load Balancer (TBLB) are used for efficient resource utilization. The service broker policies used in this paper are: Dynamically Reconfigure with Load and Advanced Service Proximity. While comparing the results on both broker policies TBLB performs betters in term of Response Time (RT) and Processing Time (PT). However, Trade-off is comparative in Cost, RT and PT.