A Cloud-Fog Based Environment Using Beam Search Algorithm in Smart Grid

Smart Grid (SG) monitor, analyze and communicate to provide electricity to consumers. In this paper, a cloud and fog computing environment is integrated with SG for efficient energy management. In this scenario world is divided into six regions having twelve fogs and eighteen clusters. Each cluster has multiple buildings and each building comprises of eighty to hundred apartments. Multiple Micro Grids (MG’s) are available for each region. The request for energy is sent to fog and load balancing algorithm is used for balancing the load on Virtual Machines (VMs). Service broker policies are used for the selection of fog. Round Robin (RR), throttled and Beam Search (BS) algorithms are used with service proximity policy. Results are compared for these three algorithms and from this BS algorithm gives better result.