SDN中基于KMOBPSO的高可靠性控制器部署算法

发布时间：2018-05-11 06:42

本文选题：SDN + 控制器部署　；参考：《电信科学》2015年06期

【摘要】：针对SDN中控制器系统的单节点故障问题,兼顾系统成本和系统时延,应用N+1冗余备份模型来提高SDN控制器部署的可靠性,并将其抽象为多目标优化问题。同时,提出了一种融合K-means聚类算法和遗传算子的多目标二进制粒子群算法——KMOBPSO算法,以求解SDN控制器高可靠性部署问题的解。仿真结果表明,所提算法具有求解精度高、分布均匀、沿Pareto前沿面覆盖广的特点,能够显著提高SDN中控制器部署的可靠性。
[Abstract]:Aiming at the single node fault of controller system in SDN, considering the system cost and system delay, the redundant backup model is applied to improve the reliability of SDN controller deployment, and it is abstracted as a multi-objective optimization problem. At the same time, a multi-objective binary particle swarm optimization algorithm (KMOBPSO), which combines K-means clustering algorithm and genetic operator, is proposed to solve the problem of high reliability deployment of SDN controller. The simulation results show that the proposed algorithm has the advantages of high accuracy, uniform distribution and wide coverage along the front surface of Pareto, and can significantly improve the reliability of controller deployment in SDN.
【作者单位】：西安交通大学电子与信息工程学院;西安邮电大学通信与信息工程学院;
【基金】：国家自然科学基金资助项目(No.61371087) 国家高技术研究发展计划(“863”计划)基金资助项目(No.2014AA01A701)~~
【分类号】：TP332.3

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