期刊文献+

基于自相似网络流量模型的分析 被引量:1

原文传递
导出
摘要 流量模型是流量预测和网络性能评价的核心基础。好的流量模型必须能够准确描述网络实际流量的特征情况,才能准确预测流量状况。随着网络业务类型不断增加,实际网络中业务流特性越来越复杂,表现为长相关性和自相似性等。本文重点分析了当前广泛使用的几种自相似模型,对自相似业务的分析和处理具有一定的指导意义。
出处 《网络安全技术与应用》 2008年第12期11-12,17,共3页 Network Security Technology & Application
  • 相关文献

参考文献4

二级参考文献27

  • 1[1]Veres A,Boda M. The Chaotic Nature of TCP Congestion Control. IEEE Infocom'2000, Tel Aviv, Israel, Mar.2000
  • 2[2]Leland W E,et al. On the Self-Similar Nature of Ethernet Traffic. ACM SIGComm'93, SanFrancisco, CA, USA,Sep. 1993
  • 3[3]Paxon V, Floyd S. Wide Area Traffic: The Failure of Poisson Modeling. IEEE/ACM Transactions on Networking, 1995,3: 226~244
  • 4[4]Willinger W, et al. Self-similarity through high-variability: Statistical analysis of Ethernet LAN traffic at the source level. IEEE/ACM Transactions on Networking,1997,5(1) :71~86
  • 5[5]Crovella M E,Bestavros A. Self-similarity in world wide web traffic - evidence and possible causes. In: Proc. of ACM Sigmetrics'96,. 1996. 160~169
  • 6[6]Taqqu M S, Teverovsky V, Willinger W. Estimators for long-range dependence: an empirical study. Fractals,1995,3(4):,785~798
  • 7[7]Abry P,Veitch D. Wavelet Analysis of Long-Range-Dependent Traffic. IEEE Transactions on Information Theory,1998,44(1)
  • 8[8]Morris R. TCP Behavior with Many Flows. IEEE International Conference on Network Protocols, Oct. 1997
  • 9[9]Claffy K C,Braun H W,Polyzos G C.A parameterizable methodology for internet traffic flow profiling. IEEE Journal on Selected Areas in Communications, 1995,13:1481~1494
  • 10[10]Floyd S, Jacobson V. Random Early Detection Gateways for Congestion Avoidance. IEEE/ACM Transactions on Networking, Aug. 1993

共引文献71

同被引文献4

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