基于蚁群算法的SDN负载均衡优化方法

SDN Network Load Balancing Optimization Method Based on Ant Colony Algorithm

常规的网络均衡优化方法主要是利用网络运维特点,对网络负载进行精细化配置,受到复杂网络环境的影响,会延长网络传输时延,影响用网效率。因此,研究了一种蚁群算法优化软件定义网络(Software Defined Network,SDN)负载均衡的方法。一方面,选择合适的SDN数据传输路径,建立网络负载控制的整体结构。另一方面,利用蚁群优化设计了网络负载平衡算法,去除蚁群寻路的冗余路径,降低算法的复杂度,从而缩短网络数据处理时间,快速达到网络负载均衡目标。采用对比实验的方式,验证了该方法的网络传输时延较短,网络处理能力更佳,网络负载均衡性更高,能够应用于实际生活。

The conventional network balancing optimization method, mainly using the characteristics of network operation and maintenance, the network load fine configuration, affected by the complex network environment, resulting in increased network transmission delay, affect the network efficiency. Therefore, a method of ant colony algorithm to optimize Software Defined Network(SDN) load balancing is studied. On the one hand, select the appropriate SDN data transmission path to establish the overall structure of network load control. On the other hand, using ant colony optimization, a network load balancing algorithm is designed to remove the redundant path of ant colony path finding and reduce the complexity of the algorithm, so as to shorten the network data processing time and quickly achieve the network load balancing goal. By means of comparative experiments, it is verified that the method has shorter network transmission delay, better network processing ability and higher network load balance, and can be applied to real life.