胡宇翔¹,
李子勇^1,,,
胡宗魁²,
胡涛¹
1.国家数字交换系统工程技术研究中心 ??郑州 ??450002
2.中国人民解放军第91445部队 大连 116043
基金项目:国家自然科学基金(61521003, 61872382)，国家重点研发计划(2017YFB0803204)，广东省重点领域研发计划(2018B010113001)

详细信息

作者简介:胡宇翔：男，1982年生，副研究员，研究方向为宽带信息网、软件定义网络
李子勇：男，1995年生，硕士生，研究方向为软件定义网络、计算机网络
胡宗魁：男，1986年生，助理研究员，研究方向为控制自动化
胡涛：男，1993年生，博士生，研究方向为软件定义网络、网络空间安全

通讯作者:李子勇　17629352940@163.com

中图分类号:TN919.2; TP393.2

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被引次数:0

出版历程

收稿日期:2019-04-22
修回日期:2019-06-24
网络出版日期:2019-08-02
刊出日期:2020-03-19

Control Resource Optimization Mechanism of SDN Based on Traffic Engineering

Yuxiang HU¹,
Ziyong LI^1,,,
Zongkui HU²,
Tao HU¹
1. National Digital Switching System Engineering & Technology Research Center, Zhengzhou 450002, China
2. Unit 91445 of PLA, Dalian 116043, China
Funds:The National Natural Science Foundation of China (61521003, 61872382), The National Key Research and Development Program of China (2017YFB0803204), The Research and Development Program in Key Areas of Guangdong Province (2018B010113001)


摘要
摘要:针对软件定义网络(SDN)分布式控制平面中由于网络分域管理所引发的控制扩张问题，该文提出了一种基于流量工程的SDN控制资源优化(TERO)机制。首先基于数据流的路径特征对流请求的控制资源消耗进行分析，指出通过调整控制器和交换机的关联关系可以降低控制资源消耗。然后将控制器关联过程分为两个阶段：先设计了最小集合覆盖算法来快速求解大规模网络中控制器关联问题；在此基础上，引入联合博弈策略来优化控制器和交换机的关联关系以减少控制资源消耗和控制流量开销。仿真结果表明，与现有的控制器和交换机就近关联机制相比，该文机制能在保证较低控制流量开销的前提下，节省约28%的控制资源消耗。
关键词:软件定义网络/
资源优化/
控制器关联/
分布式控制平面
Abstract:In Software-Defined Networking (SDN) with distributed control plane, network expansion problems arise due to network domain management. To address this issue, a Traffic Engineering-based control Resource Optimization (TERO) mechanism of SDN is proposed. It analyzes the control resource consumption of flow requests processing with different path characteristics, and points out that the control resource consumption can be reduced by changing the association relationship between controllers and switches. The controller association mechanism is divided into two phases: firstly, a minimum set cover algorithm is designed to solve the controller association problem efficiently in large-scale network. Then, a coalitional game strategy is introduced to optimize the controller association relationship to reduce both control resource consumption and control traffic overhead. The simulation results demonstrate that while keeping control traffic overhead low, mechanism which in this paper can reduce control resource consumption by about 28% in comparison with the controller proximity mechanism.
Key words:Software-Defined Networking (SDN)/
Resource optimization/
Controller association/
Distributed control plane



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