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作 者:周新卫 李小玲 ZHOU Xin-wei;LI Xiao-ling(Nanchang University Gongqing College,Department of Information Engineering,Gongqingcheng,Jiangxi 332020,China)
机构地区:[1]南昌大学共青学院信息工程系,江西共青城332020
出 处:《计算机仿真》2018年第9期307-310,共4页Computer Simulation
基 金:2015年江西省教育厅教改项目(一般)(JXJG-15-31-1)
摘 要:互联网+平台中网络链路负载过重可能会造成网络资源的浪费甚至影响用户体验。针对当前方法为了实现部署时间最短而无法兼顾服务质量和网络链路负载均衡,且存在收敛速度较慢,容易陷入局部最优的问题,提出一种基于优化遗传算法的网络链路负载均衡方法,对互联网+平台中各个链路的CPU负载特征值、内存负载特征值、磁盘负载特征值、业务流负载特征值进行收集和计算。构建五元组作为实现全业务网络链路负载均衡的样本集,对网络链路当前处于空闲、正常、超载状态进行判断。依据网络链路当前状态的判断结果,采用自然数编码的方法对网络链路进行编码和种群初始化设置。综合了互联网+平台中网络业务的负载均衡度、各个链路的平均负载以及部署时间三个指标作为适应度函数。同时采用自适应的交叉概率函数和变异算子,设置终止条件,将最终结果输出,实现全业务网络链路负载均衡。仿真结果表明,所提方法在保证服务质量和网络链路负载均衡方面具有明显优势,且大大提高了收敛速度和网络资源利用率。This article puts forward a method for network link load balancing based on optimized genetic algorithm. Firstly, CPU load feature value, memory load feature value, disk load feature value and business flow load feature value of each link on Internet plus platform were collected and calculated. Then, a five-tuple model was constructed as the sample set to achieve the full-service network link load balancing, so as to determine whether the network link was idle, normal or overloaded. Based on the result to judge current state of network link, the natural num- ber coding method was used to encode network link and initialize population. Moreover, three indicators on Internet plus platform such as load balancing degree of network service, average load of each link and deployment time were used as the fitness functions. Meanwhile, adaptive crossover probability function and mutation operator were used to set the termination condition and output the final result. Thus, the full service network link load balancing was a- chieved. Simulation results prove that the proposed method has obvious advantages in ensuring service quality and network link load balancing. Meanwhile, it greatly improves convergence rate and network resource utilization rate.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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