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SDN中多控制器均衡部署优化方法仿真

Simulation of Optimization Method for Multi-Controller Balanced Deployment in SDN
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摘要 由于当前已有方法未能考虑时延对部署结果的影响,导致部署方案可靠性指数下降,平均时延增加。提出一种SDN中多控制器均衡部署优化方法,在软件定义网络(SDN)架构中对多控制器进行合理部署,在考虑时延、负载以及成本等不同影响因素的情况下,构建SDN中多控制器均衡部署模型。采用遗传算法对模型进行求解,获取最优部署方案。实验结果表明,所提方法能够大幅度提升部署方案的可靠性指数,同时还能够有效降低时延,多控制器部署效果较好。 Currently,some methods fail to consider the influence of delay on deployment results,so the reliability of deployment scheme decreases and the average delay increases.In this paper,a method of optimizing balanced deployment for multiple controllers in SDN was put forward.Firstly,we deployed multiple controllers in a software-defined network(SDN)architecture.After considering different factors such as delay,load,and cost,we built a model of balanced deployment of multiple controllers.Then the model was solved by genetic algorithm.Finally,we obtained an optimal deployment.Experimental results show that the proposed method can greatly improve the reliability index of deployment scheme and effectively reduce the time delay;In the meanwhile,the deployment effect of multiple controllers is good.
作者 谢燕 张爽 XIE Yan;ZHANG Shuang(Hunan University of Information Technology,College of Computer Science and Engineering,Changsha Hunan 410151,China;Shenyang Ligong University,School of Automation and Electrical Engineering,Liaoning Shenyang 110180,China)
出处 《计算机仿真》 北大核心 2023年第7期378-381,392,共5页 Computer Simulation
基金 湖南省教育厅科学研究项目重点项目(省部级)(17A150)。
关键词 软件定义网络 多控制器 均衡部署优化 遗传算法 Software Defined Network(SDN) Multiple controllers Balanced deployment optimization Genetic algorithm
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