Swarm Intelligence Algorithms in cloud Computing : A Survey

  • C.Vinothini, P.Balasubramanie, M.Jayanthi , J.Priya , P.Anitha

Abstract

Cloud computing is not any more new type of computing. Most of us are using it in our day today life. It is a web put together innovation where with respect to demand demands are satisfied. Load balancing assumes a vital job in cloud's performance. The point of load balancing is to diminish response time, increment throughput and adaptation to internal failure, with the assistance of appropriate resource usage. Numerous inquires about are going on in the field of swarm Intelligence. Swarm Intelligence is the property that manages aggregate conduct of decentralized and self-sorted out frameworks. For algorithm with complex issues, Swarm Intelligence is one among the fruitful ideal models. SI based algorithms are called insightful on the grounds that they are known to learn and improve their performance by watching the yield on past moves made by them. The most optimization procedures roused by Swarm Intelligence: Ant Colony Optimization and artificial bee colony (ABC) ,Particle Swarm Optimization (PSO),Firefly Algorithm. In this paper, we review an exceptional gathering of Swarm intelligence based load balancing algorithm and discuss about the advantages and issues of these algorithms for cloud computing environment.

Published
2020-06-01
How to Cite
C.Vinothini, P.Balasubramanie, M.Jayanthi , J.Priya , P.Anitha. (2020). Swarm Intelligence Algorithms in cloud Computing : A Survey. International Journal of Advanced Science and Technology, 29(7), 10698-10706. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/27265
Section
Articles