Open AccessAn Efficient Novel Load Balancing Algorithm to Improve the Performance of the System in Cloud Environment
Author(s) -
P. Neelima,
A. Rama Mohan Reddy
Publication year - 2019
Publication title -
asian journal of computer science and technology
Language(s) - English
Resource type - Journals
eISSN - 2583-7907
pISSN - 2249-0701
DOI - 10.51983/ajcst-2019.8.s3.2074
Subject(s) - workload , load balancing (electrical power) , computer science , cloud computing , particle swarm optimization , fitness function , task (project management) , algorithm , genetic algorithm , distributed computing , mathematical optimization , mathematics , engineering , machine learning , geometry , systems engineering , grid , operating system
Distribution of workload in a balanced manner is a main challenge in cloud computing system. It distributes workload among multiple nodes, hence resources are properly utilized. This is an optimization problem and a good load balancer should be involved for this strategy to the types of tasks and dynamic environment. To overcome load balancing problem here a Novel Load balancing Algorithm is develop i.e. Dragonfly Algorithm is design and developed, to execute the entire task with shortest completion time and load balanced. Our algorithm will be presented with efficient solution representation, derivation of efficient fitness function (or multi-objective function) along with the usual Dragonfly operators. The performance of the algorithm will be analyzed based on the different evaluation measures. The algorithms like particle swarm optimization (PSO) and Genetic algorithm (GA) will be taken for the comparative analysis.