Implementation of a Hybrid Load Balancing Algorithm for Cloud Computing
In cloud computing, day-by-day numbers of users are increasing enormously with large amount of data processing requirements through various sources like social networking sites, business organizations and other. Therefore to solve this issue of growing demands for the resources usage which are heterogeneous and dynamic in nature, resource sharing is done for the achievement of rapid elasticity and consistency, where sharing of resources require an optimal approach in terms of load balancing. In this paper, the proposed algorithm is a hybrid algorithm HACOBEE which is the optimal solution for load balancing among nodes in a dynamic cloud environment that uses combination of 2 approaches i.e. ant colony optimization and artificial bee colony approach for workloads distribution among nodes of a cloud.