State Based Load Balancing Algorithm for Smart Grid Energy Management in Fog Computing

Abstract

The use of the traditional grid with Information and Communication Technology (ICT) gave birth to Smart Grid (SG). New services and applications are built by utility companies to facilitate electricity consumers which generate a huge amount of data that is processed on the cloud. Fog computing is used on the edge of the cloud to reduce the load on cloud data centers. In this paper, a four-layered architecture is proposed to reduce electricity shortage between consumer and electricity providers. Clusters layer consist of clusters of buildings which are connected to Micro Grid (MG) layer. MG layer is further connected to fog and cloud layer. Three load balancing algorithms Round Robin (RR), Honey Bee Optimization (HBO) and State-Based Load Balancing (SBLB). Results demonstrate that SBLB outperforms RR and HBO in terms of Response Time (RT) and Processing Time (PT).