[1]邓志华,吕光宏. SDN网络可扩展性问题的研究[J].计算机技术与发展,2016,26(03):14-17.
　DENG Zhi-hua,Lü Guang-hong. Research on Scalability of SDN[J].,2016,26(03):14-17.
点击复制

 SDN网络可扩展性问题的研究()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年03期
页码:
14-17
栏目:
智能、算法、系统工程
出版日期:
2016-03-10

文章信息/Info

Title:
 Research on Scalability of SDN
文章编号:
1673-629X（2016)03-0014-04
作者:
 邓志华; 吕光宏
 四川大学 计算机学院
Author(s):
 DENG Zhi-hua; Lü Guang-hong
关键词:
 ; 软定义网络; 可扩展性; 网络负载; 网络器件
Keywords:
 ; SDN; scalability; network load; network devices
分类号:
TP393
文献标志码:
A
摘要:
 软定义网络( SDN)将控制平面从数据平面中解耦合，通过使用一个统一的控制平面来管理网络事件，并通过全局网络视图来同步网络状态，以此提供一个更加灵活和易于管理的网络；然而，由于数据平面和控制平面的分离增加了对OpenFlow事件处理额外的计算和网络资源消耗，随着网络流量的增加，不可避免地会使控制器和交换机以及控制器与控制器之间通信量的增大，因此单一的控制器或者设计不合理的多控制器网络拓扑都有可能使SDN网络出现可扩展性问题。为了解决SDN网络的可扩展性问题，文中从引起网络拥塞的原因以及网络转发器件性能两大方面进行分析，分别针对SDN的可扩展性问题从减轻网络负载和设计更加合理的网络器件两个角度出发，分析并综述了近两年在该领域的研究与贡献。
Abstract:
 Software Defined Network ( SDN) provides a more flexible and a better management network,by a united control plane which decoupled from data plane to manage network event and a global network view to synchronize network status. However,as the separation between data plane and control plane increased to OpenFlow event handling additional computing and network resources consumption, with the increase of network traffic,it will inevitably make the traffic increasing between controller and switches,as well as between con-troller and the controller,and that may lead to scalability issues occurred in SDN network. In order to solve the problem of SDN network scalability,the analysis is conducted from the cause of network congestion and network device performance. Starting from reducing net-work load and designing more reasonable network device,the contribution and research in this field is analyzed and summarized in past two years.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(03):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(03):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(03):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(03):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(03):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(03):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(03):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(03):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
　YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(03):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
　YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(03):47.

更新日期/Last Update: 2016-05-24