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.