A new conception of load balancing in cloud computing using Hybrid heuristic algorithm

This article introduces the last improvement in the field of hybrid heuristics designed to optimize the resources related to the allocation of user requests (tasks) in the cloud environment. We propose an efficient method for providing a load balancing in the cloud computing environment based on combining the global search abilities of Genetic Algorithm (GA) with different heuristics such as Tabu Search Algorithm, Simulated annealing Algorithm, ABC Algorithm, ACO Algorithm and PSO Algorithm. The experimental results showed that the proposed algorithm has high efficiency for reaching a load balancing in Cloud computing