Load Stabilizing in Fog Computing Environment Using Load Balancing Algorithm

Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 25)


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.


Load Balancing Algorithm Cloud Analyst Microgrid (MG) Data Center Controller Intermittent Layers 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.COMSATS UniversityIslamabadPakistan

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