北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2016, Vol. 39 ›› Issue (4): 30-34.doi: 10.13190/j.jbupt.2016.04.006

• 论文 • 上一篇    下一篇

基于多参数节点排序的SDN控制器部署策略

张岩1,2, 黄韬1, 卢波1,2, 刘韵洁1,2, 张忠平2   

  1. 1. 北京邮电大学 信息与通信工程学院, 北京 100876;
    2. 中国联合网络通信有限公司, 北京 100033
  • 收稿日期:2016-02-23 出版日期:2016-08-28 发布日期:2016-08-28
  • 作者简介:张岩(1983-),男,博士后,E-mail:zhangy1036@chinaunicom.cn;张忠平(1965-),男,博士后导师.

Controller Deployment Scheme Based on Multi-Factor Node Ranking in SDN

ZHANG Yan1,2, HUANG Tao1, LU Bo1,2, LIU Yun-jie1,2, ZHANG Zhong-ping2   

  1. 1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2. China United Network Communications Company Limited, Beijing 100033, China
  • Received:2016-02-23 Online:2016-08-28 Published:2016-08-28

摘要: 针对已有的软件定义网络(SDN)控制器部署关注基于控制消息路由时延最优的问题,引入节点的介数中心性作为参数,分析了介数中心性对于控制器部署位置选择的重要性,并联合节点的可靠性提出了一种基于多参数节点排序方案(MFRS)的控制器位置部署策略,将节点进行排序并分层,依据节点间的连接关系计算出控制权值,最终确定控制器位置. 仿真结果表明,MFRS的控制消息路由跳数小于基于时延的最短路径算法,且基于MFRS的网络可靠性高于基于时延的最短路径算法.

关键词: 软件定义网络, 控制器部署位置, 介数中心性, 多参数节点排序

Abstract: Current research on controller deployment in software-defined network(SDN) mainly focuses on latency optimal of the controlling messages routing. The betweenness centrality was introduced as a factor to the controller deployment problem and the importance of betweenness centrality in controller deployment location was analyzed. Then a multi-factor node ranking scheme(MFRS) was proposed, the betweenness and the reliability are chosen for the node ranking factors. The nodes are layered and the controlling weight of each node was calculated according to the connecting relations of the nodes in different layers. The location of the controller was determined finally. Simulation shows that the hops of the controlling messages routing under MFRS is less than under the latency aware shortest path scheme, and the reliability of MFRS is higher than it of the latency aware shortest path scheme.

Key words: software-defined network, controller deployment location, betweenness centrality, multi-factor node ranking

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