基于改进樽海鞘群算法的SDN控制器部署算法

SDN CONTROLLER DEPLOYMENT ALGORITHM BASED ON IMPROVED SALP SWARM ALGORITHM

针对SDN(Software-Defined Networking)多控制器部署优化问题,提出一种基于改进樽海鞘群算法的SDN控制器部署算法。在元启发式算法樽海鞘群优化的基础上,通过引入混沌映射因子增加收敛性,避免优化器陷入局部最优,提高算法性能,从而可以更有效地动态评估大型SDN网络中控制器的最佳数量以及交换机和控制器之间的最佳连接。实验结果表明,该算法在执行时间和可靠性上均优于其他对比算法,实现了控制器的最佳数量以及控制器与交换机的最佳分配问题。

Aiming at the problem of SDN multi-controller deployment optimization,this paper proposes an SDN controller deployment algorithm based on the improved salp swarm algorithm.Based on the meta-heuristic algorithm of the salp swarm optimization,the chaotic mapping factors were introduced to increase convergence,avoid the optimizer to fall into a local optimum,and improve the performance of the algorithm.Therefore,it could more effectively and dynamically evaluate the optimal number of controllers and the optimal connection between switches and controllers in large SDN networks.The experimental results show that the proposed algorithm is superior to other comparison algorithms in execution time and reliability,and achieves the optimal number of controllers and the optimal allocation of controllers and switches.