期刊文献+

校园网流量抽样测量系统设计与实现 被引量:2

Design and Implementation of a flow sampling measurement System on Campus network
原文传递
导出
摘要 随着高速网络技术的发展,大多数高校引入了千兆网,校园网络日益规模化和复杂化,使得实时在线的流量测量变得比较困难,基于抽样的流量测量方法作为一种可扩展的测量技术已成为人们经常采用的一种有效的流量测量技术。本文采用"弱化的贪心算法"确定各网段的最佳测点,并采用IP掩码匹配的分布式抽样测量技术将各测量点同步采集的流量经抽样后存储到服务器的不同储存区域,然后根据测量目标对各网段采集的流量进行汇聚、分析和统计。从节约成本出发,本文引入了双机协作抽样技术进行测量,此双测量主机系统充当了服务器、测量器和分析器角色,整个测量无需专用测量器和服务器,可以基本取代市场专用的流控测量设备,能实现对整个校园网流量的掌控。 With the rapid development of network technology,Most campus into a Gigabit Network,Campus network increasingly large-scale and complicated,which makes the real-time on-line flow measurement becomes more difficult,Based on sampling method of flow measurement as a scalable measurement technology has become a frequently used and effective flow measurement technology.This paper adopts" weakening of the greedy algorithm" to determine the segment of the best measuring point,And the use of IP mask matching distributed sampling measurement technology of each measuring point synchronous acquisition flow through sampling after storage to the server in different storage areas,Then according to the measurement of the target on the network acquisition flow gathering,analysis and statistics.From the view of saving cost,this paper introduces two collaborative sampling technique,the double measuring host system acts as a server,measuring apparatus and analyzer role,the entire measurement without a special measuring device and the server,can replace the market special measuring equipment,can achieve the whole campus network flow control.
出处 《网络安全技术与应用》 2011年第11期70-72,76,共4页 Network Security Technology & Application
基金 湖南省教育厅科研计划基金项目(09C1162) 衡阳市科学技术局科技计划一般项目2010KG46
关键词 校园网 测点选择 双机协作 分布式抽样测量 Campus Network Selection of measuring point Co-operation of two-computer Distributed Sampling measurement
  • 相关文献

参考文献7

二级参考文献10

  • 1[1]Lai K, Baker M. Measuring bandwidth. In: Proceedings of the IEEE INFOCOM'99. New York, 1999. 235~245.
  • 2[2]Downey AB. Using pathchar to estimate internet link characteristics. In: Proceedings of the ACM SIGCOMM'99 Conference on Applications, Technology, Architectures and Protocals for Computer Communications. Cambridge, MA, 1999. 241~250.
  • 3[3]Breibart Y, Chan CY, Carofalakis M, Rastogi R, Silberschatz A. Efficiently monitoring bandwidth and latency in IP network. Murrary Hill, NJ: Bell Laboratories, 2000.
  • 4[4]Jamin S, Jin C, Jin Y, Raz D, Shavitt Y, Zhang L. On the placement of internet instrumentation. In: Proceedings of the IEEE INFOCOM 2000. 2000. 26~30.
  • 5[5]Cáceres R, Duffield NG, Feldman A, Friedmann J, Greenerg A, Greer R, Johnson T, Kalmanek C, Krishnamurthy B, Lavelle D, Mishra PP, Ramakrishnan KK, Rexford J, True F, van der Merwe JE. Measurement and analysis of IP network usage and behavior. IEEE Communication Magazine, 2000,38(5):144~151.
  • 6THOMPSON K,MILLER G,WILDER R.Wide-area Internet traffic patterns and characteristics[J].IEEE Network,1997,11(6):10-23.
  • 7CACERS R,DUFFIELD N,FELDMANN A.Measurement and analysis of IP Network usage and behavior[J].IEEE Communication Magazine,2000,38(5):146-151.
  • 8ESTAN C,VARGHESE G.New Directions in Traffic Measurement and Accounting[A].ACM SIGCOMM Internet Measurement Workshop 2001[C].San Francisco,CA,November 2001.1-2.
  • 9DUFFIELD N,LUND C,THORUP M.Charging from sampled network usage[A].ACM SIGCOMM Internet Measurement Workshop 2001[C].San Francisco,CA,November 2001.1-2.
  • 10程光,龚俭,丁伟.基于抽样测量的高速网络实时异常检测模型[J].软件学报,2003,14(3):594-599. 被引量:37

共引文献62

同被引文献18

  • 1潘乔,裴昌幸.用于高速IPv6网络流量抽样测量的算法[J].西安电子科技大学学报,2007,34(3):377-381. 被引量:2
  • 2盛骤,谢式千,潘承毅.概率论与数理统计[M].北京:高等教育出版社,2008:276-281.
  • 3杜俊.地方电大校园无线局域网方案的设计与实现[J].职教探索与研究,2011(1):38-41.
  • 4Claffy K C, Polyzos G C, Braun H W. Application of Sampling Methodologies to Network Traffic Characterization [J]. SIGCOMM Computer Communication Review, 1993, 23(4): 194-203.
  • 5Cozzani I, Giordano S. A Passive Test and Measurement System: Traffic Sampling for QoS Evaluation [C]// Proceedings of GLOBECOM 1998. Sydney: IEEE, 1998: 1236-1241.
  • 6Duffield N, Grossglauser M. Trajectory Sampling for Direct Traffic Observation [J]. IEEE/ACM Trans on Networking, 2001, 9(3): 280-292.
  • 7Duffield N, Lund C, Thorup M. Learn More, Sample Less: Control of Volume and Variance in Network Measurement [J]. IEEE Trans on Information Theory, 2005, 5(51) : 1756-1775.
  • 8MAWI Working Group Traffic Archive. Traffic Trace Info [EB/OL]. [2012-08-20]. http://mawi, wide.ad.jp/mawi.
  • 9潘乔,裴昌幸.基于信息熵理论的高速IPv6网络流量抽样测量方法[J].吉林大学学报(工学版),2009,39(5):1337-1341. 被引量:5
  • 10庄剑英.基于层次化防御的校园网络安全策略研究[J].苏州市职业大学学报,2009,20(4):57-59. 被引量:1

引证文献2

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