Load Balancing of SDN Controller for Migration Optimization Based on Metaheuristics

Abstract

With the existing power SDN network architecture, the improved switches migration algorithm is put forward. Through the advantages of the ant colony algorithm and genetic algorithm fusion, the migration process is optimized, and the fusion algorithm in switches uses the operation, such as restrictions in advance and pruning algorithm efficiency to eventually apply migration under multiple controllers to the switch. The efficiency and stability of switch migration under multicontroller are improved, and the performance of the RYU controller is compared with other algorithms. The results of the algorithm and performance comparison test show that the improved ant colony algorithm is reduced by 12.5% and 1.5%, which is a comparison of response delay; the accuracy of the migration operation of the algorithm can make full use of the resources of the controller and achieve the purpose of improving the migration efficiency and load balancing among multiple controllers.