基于改进蚁群算法的软件定义网络负载均衡  

Software Defined Network load balancing based on Im-ACO

作　　者：李静[1] 贺利春 雷鸣[1] LI Jing;HE Lichun;LEI Ming(School of Electronic Information Engineering,Xi’an University of Techology,Xi’an Shaanxi 710021,China)

机构地区：[1]西安工业大学电子信息工程学院,陕西西安710021

出　　处：《太赫兹科学与电子信息学报》2022年第10期1081-1086,共6页Journal of Terahertz Science and Electronic Information Technology

基　　金：西安工业大学动态测试与智能信息处理创新团队基金资助项目(401-302021605)。

摘　　要：为改善软件定义网络(SDN)负载均衡问题,对传统的蚁群算法进行改进,并结合服务器负载均衡算法,提出一个改进型的联合算法。该算法使用加权最小连接调度算法,服务器端选择负载最小的服务器,并利用改进蚁群算法(Im-ACO)选择到达所选服务器的最佳路径。理论分析及实验结果表明,提出的联合算法使网络性能得到显著提高,网络吞吐量更高,丢包率更低。In order to deal with the Software Defined Network(SDN)load balancing problem,the traditional ant colony algorithm is improved and a joint algorithm is proposed by combining with the server load balancing algorithm.In the proposed method,the weighted least connection scheduling algorithm(server side)is employed,and the server with the least load is selected;the Improved Ant Colony algorithm(Im-ACO)is adopted to find the optimal path to the selected server.Theoretical analysis and experimental results show that the proposed joint algorithm significantly improves the network performance with higher network throughput and lower packet loss rate.

关 键 词：软件定义网络 蚁群算法 负载均衡 最佳路径 

分 类 号：TN919[电子电信—通信与信息系统]