Load Stabilizing in Fog Computing Environment Using Load Balancing Algorithm

The paper concentrates on the Fog Computing (FC) application to a Smart Grid (SG), that comprises of a Distribution Generation System recognized as a Microgrid (MG). FC acts as an additional layer of computation and communication. It decreases the load on the Cloud and provides same facilities as Cloud. The main concern in FC environment is Load Balancing. Fog contains many software and hardware resources and handling these will play a significant role in completing a client's request. Today, from different regions of the world clients are requesting for the numerous services in a continuous frequency. The Fog manages the load by assigning the Virtual Machines (VMs) to clients' requests. In this regard, the techniques that should be employed to stabilize the load on the Fog should be very effective in assigning the VM to user requests. In the proposed work, for load balancing we have used four different load balancing algorithms: Round Robin (RR), Throttled, Particle Swarm Optimization (PSO) and Active VM Load Balancing Algorithm (AVMLB). Further, the Cloud Analyst simulator is used to analyze and compare the performances of the algorithms.