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用层叠模型分析和估计网络业务量

Analyzing and Estimating Network Traffic with Cascades Model
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摘要 该文给出了用小波变换形式的层叠模型分析业务量的完整步骤,并通过实验证实这个分析方法的适用性.文中特别指出,在进行分析时不宜使用单位时间内分组到达数和分组到达间隔时间序列来对应模型中的随机过程,而应该用它们的累加序列,因而可更全面地分析网络业务量. The cascades model proposed recently from self-similar and multifractal model stem can be used to analyze network traffic comprehensively. This paper, therefore, puts forward an integrated process using cascades model in pattern of wavelet transform to analyze network traffic and further justifies the feasibility of the method. Meanwhile, it emphasizes specifically that, the cumulant sequences of the sequences denoting the number of packet arrivals in unit time and that of inter-arrival time between packets, instead of either of both,should be considered as the stochastic process of the model.
作者 张毅 李乐民
出处 《电子与信息学报》 EI CSCD 北大核心 2004年第9期1420-1425,共6页 Journal of Electronics & Information Technology
基金 国家自然科学基金委员会与香港研究资助局联合科研基金项目资助课题(基金号: 60218002)
关键词 网络业务量 分组 小波变换 模型分析 验证 估计 序列 累加 随机过程 分析方法 Infinitely Divisible Cascade(IDC), Log-Normal Cascade(LNC), Propagator, Wavelet transform
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参考文献13

  • 1Taqqu M S, Teverovsky V, Willinger W. Estimators for long-range dependence: An empirical study. Fractals, 1995, 3(4): 785-798.
  • 2Riedi R H. An improved multifractal formalism and self-similar measures. J. Math. Anal. Appl.,1995, 189(2): 462-490.
  • 3Veitch D, Abry P, Flandrin P, Chainais P. Infinitely divisible cascade analysis of network traffic data. ICASSP-2000, Istanbul, Turkey, 2000, vol.1: 245-248.
  • 4Roux S, Veitch D, Abry P, Huang L, Micheel J, Flandrin P. Statistical scaling analysis of TCP/IP data using cascades. ICASSP-2001, Salt Lake City, Utah, 2001, vol.6: 3425-3428.
  • 5Arneodo A, Audit B, Bacry E, Manneville S, Muzy J F, Roux S G. Thermodynamics of fractal signals based on wavelet analysis: Application to fully developed turbulence data and DNA sequences. Physica A, 1998, 254(1/2): 24-45.
  • 6Riedi R H, Vehel J L. TCP traffic is multifractal: A numerical study. Technical Report Inria research report, Project Fractales 3129, INRIA Rocquencourt, 1997.
  • 7Abry P, Veitch D. Wavelet analysis of long range dependent traffic. IEEE Trans. on Information Theory, 1998, IT-44(1): 2-15.
  • 8Riedi R H, Crouse M S, Ribeiro V J, Baraniuk R G. A multifractal wavelet model with application to network traffic. IEEE Trans. on Information Theory, 1999, IT-45(3): 992-1018.
  • 9Mallat S. A Wavelet Tour of Signal Processing (Second Edition). San Diego: 1999, chapter 6.
  • 10Cambanis S, Houdre C. On the continuous wavelet transform of second-order random processes.IEEE Trans. on Information Theory, 1995, IT-41(3): 628-642.

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