期刊文献+

一种SDN网络路径异常监控方法 被引量:1

Method of Software Defined Network Path Abnormity Monitoring
下载PDF
导出
摘要 在SDN网络中,及时掌握网络中数据传输路径的运行状态对于控制器进行网络安全监控和流量的负载均衡至关重要。利用SDN网络架构的特点,提出了一种主动测量与被动测量相结合的路径异常监控方法,以对网络路径的运行状态进行异常监控。从路径的延迟和可用带宽两个方面分析网络路径的运行情况,并对出现异常的路径进行检测和报警,保障网络的正常运行。实验结果表明,在不同的网络条件下,所提方法都能有效测量网络路径的延迟和可用带宽,并且能够及时发现网络中出现的路径异常情况。 In the SDN architecture,the controller has to master the operating state of network data transmission path segment,which is quite significant for controller to implement the network security monitoring and traffic load balancing.Based on the characteristics of SDN architecture,the paper proposed an approach which combines reactive measurement and passive measurement for monitoring the network path segment abnormity.The method analyzes the operating state of network traversing path from two aspects of path’s latency and available bandwidth,which can also perform the detection and give an alarm for the abnormal network path segments.Our experiments show that the method can not only measure the latency and available bandwidth of path segment,but also can detect the abnormal path segment out timely and send out alarm signals.In network conditions of constant and variable network cross traffic,the approach can monitor the abnormal path segment and measure the path’s performance parameters efficiently.
出处 《计算机科学》 CSCD 北大核心 2017年第7期25-30,共6页 Computer Science
基金 国家自然科学基金项目(61379145)资助
关键词 SDN 延迟测量 可用带宽测量 路径异常监控 SDN Latency measurement Available bandwidth measurement Path abnormity monitoring
  • 相关文献

参考文献2

二级参考文献12

  • 1YongZhang,HongZhu.Approximation Algorithm for Weighted Weak Vertex Cover[J].Journal of Computer Science & Technology,2004,19(6):782-786. 被引量:5
  • 2蔡志平,殷建平,刘湘辉,刘芳,吕绍和.链路约束的分布式网络监测模型[J].计算机研究与发展,2006,43(4):601-606. 被引量:2
  • 3McKeown N, Anderson T, Balakrishnan H , et al. Open-Flow : enabling innovation in campus networks [ J ]. ACMSIGCOMM Computer Communication Review, 2008,38(2) : 69-74.
  • 4Tootoonchian A,Ghobadi M,Ganjali Y. OpenTM : traf-fic matrix estimator for OpenFlow networks \_C~\ // Passiveand Active Measurement, Zurich: Springer Berlin Heidel-berg, 2010: 201-210.
  • 5McKeown. Ofpeck [ EB/OL ]. Canlifornia: WordPress,2011[ 2014-10-20 ] http : // www. openflow. org/wk/in-dex. php/Ofpeck.
  • 6Rasley J, Stephens B, Dixon C , et al. Planck : millisec-ond-scale monitoring and control for commodity networks[C ] // Proceedings of the 2014 ACM conference on SIG-GOMM. New York: ACM Press, 2014: 407418.
  • 7Jarschel M,Zinner T, Hohn T, et al. On the accuracy ofleveraging SDN for passive network measurements[ C] //.In Proceedings of 2013 Telecommunication Networks andApplications Conference (ATNAC,13). Christchurch :IEEE Press, 2013:. 4146.
  • 8McKeown OpenFIow Wiki [EB/OL]. Canlifornia: WordPress, 2011 [ 2014-10-20 ] http://archive.openfUnv.org/wk/index. php/OpenFlow一Wiki.
  • 9Rich Lane. Floodlight [ EB/OL ]. California: ProjectFloodlight, 2013[2014-10-20] http: //www. projectflood-light. org/floodlight/.
  • 10刘湘辉,殷建平,唐乐乐,赵建民.网络流量的有效测量方法分析[J].软件学报,2003,14(2):300-304. 被引量:27

共引文献14

同被引文献14

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部