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在软件定义网络中提出了一种应用蚁群优化的负载均衡算法,以负载均衡度为目标函数重定义了蚁群算法中的参数和操作,对软件定义网络数据流和网络拓扑进行合理设置,规划出流传输的最优路径,从而提升了网络资源利用率和流传输质量.仿真结果表明,与其他算法相比,新算法在负载均衡度、流接受率、流丢包率、时延以及网络吞吐量方面的性能都有明显的提升.
In the software defined network, a load balancing algorithm based on ant colony optimization is proposed. Parameters and operations of the ant colony algorithm are redefined with load balancing as the objective function, and the software-defined network data flow and network topology are set reasonably. The optimal path of outbound transmission is planned to improve the network resource utilization and the quality of the stream transmission.The simulation results show that the proposed algorithm outperforms other algorithms in terms of load balance, flow acceptance rate, packet loss rate, delay, Network throughput performance has significantly improved.