%0 Journal Article
%A FAN Bin
%A GUO Ya
%A QU Hua
%A WANG Mi
%A ZHAO Ji-hong
%T Ant Colony Optimization for Load Balance in Software Defined Network
%D 2017
%R 10.13190/j.jbupt.2017.03.006
%J Journal of Beijing University of Posts and Telecommunications
%P 51-55
%V 40
%N 3
%X An ant colony optimization-based load balancing alogrithm was proposed in software defined network. This alogrithm defines the degree of load balancing as the objective function and redefines the parameters and operations in the ant colony algorithm. The software defined network flows and the network topology are designed reasonably. The optimal paths of software defined network flows are derived from thealogrithm, which promotes the network resource utilization and transmission quality. Simulations show that the proposed alogrithm outperforms the benchmark algorithm in terms of the degree of load balancing, flow acceptance rate, packet loss rate, delay and network throughput.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2017.03.006