LOAD BALANCING IN CLOUD COMPUTING USING BACTERIAL FORAGING ALGORITHM

Abstract

Cloud computing refers to the delivery of computing resources over the Internet. Instead of keeping data on your own hard drive or updating applications for your needs, it can be used as a service over the Internet, at another location, to store your information or use its applications i.e. load is distributed. Doing so may give rise to certain privacy implications. Various load balancing algorithms such as genetic algorithm, ant colony algorithm, particle swarm algorithm and other swarm intelligence algorithms do not give the optimized results(response time) which decreases the performance of the system. To overcome this drawback Bacterial foraging algorithm is used. This paper discusses the characteristics of cloud, load balancing, BFOA i.e. bacterial foraging algorithm which has been used in the proposed work. Key Words: Load balancing, BFOA, Genetic, Ant Colony, Makespan, EP, ES