Cloud and Fog Based Smart Grid Environment for Efficient Energy Management

Abstract

Cloud is a pool of virtualized resources. Integrating cloud in a smart grid environment helps to efficiently utilize the energy resources while fulfilling the energy demands of residential users. However, when number of users increase it is difficult to efficiently utilize the cloud resources to handle so many user requests. Fog reduce the latency, processing and response time of user requests. In this paper, cloud-fog based environment for efficient energy management is proposed. The objective of achieving maximum performance is also formulated mathematically in this paper. Simulations in CloudAnalyst are performed to compare and analyze the performance of load balancing algorithms: Round Robin (RR), Throttled, and Weighted Round Robin (WRR) and service broker policies: Service Proximity Policy, Optimize Response Time, Dynamically Reconfigure with Load, and New Dynamic Service Proximity. Simulation results showed that Throttled load balancing algorithm give better response time than RR and WRR.