期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

因特网业务量多重分形性的本质及其成因研究 被引量：2

A study on source of multifractal nature of Internet traffic
在线阅读 下载PDF
导出
摘要 近年来 ,因特网业务量多重分形性研究逐渐成为网络通信研究领域的一个热点 ,伴随着测试手段的不断进步 ,逐步揭示出因特网业务量在较小的时间尺度上具有多重分形性。本文在充分吸收已有研究成果的基础上 ,利用小波分析、模型模拟分析和实际数据计算 ,从多个方面对这一问题进行了深入研究。结果表明 ,在网络处于重负载的条件下 ,业务量多重分形性是由于 TCP(Transmission Control Protocol)独特的发送行为和多个 TCP连接的汇聚造成的。这个发现 。 Recently, with the improving on the means of measurements, it has been found that the Internet traffic is multifractal at small time scales. Based on the existing results, this problem is studied deeply in the paper by means of wavelet analysis, simulation, and practical data calculating. As a result, it is pointed out that, in the case of heavy-loading, the source of the multifractal is the aggregation of lots of TCP (Transmission Control Protocol)connections, as well as the particular sending behavior of TCP protocol. The finding is valuable in networking designing and performance evaluating.
作者 张骏温 赵永祥 陈常嘉
机构地区 北方交通大学通信工程系
出处 《铁道学报》 EI CAS CSCD 北大核心 2001年第2期50-53,共4页 Journal of the China Railway Society
关键词 多重分形 TCP 因特网 业务量 网络设计 网络通信 multifractal TCP Internet
分类号 TN919 [电子电信—通信与信息系统] TP393.4 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献11

  • 1[1]Daubechies L.Ten lectures on wavelet[M].Philadelphia, PA: SIAM, 1992.
  • 2[2]Feldmann A, Gilbert A C, et al. Looking behind and beyond self-similarity: Scaling phenomena in measured WAN traffic [C]. Proc. 35th Annual Allerton Conf. on Comm., Control, and Computing, June 1997, 269—280.
  • 3[3]Feldmann A, Gilbert A C, et al. Data networks as cascades: Investigating the multifractal nature of Internet WAN traffic [C]. ACM/SIGCOMM"98, 1998，42—55.
  • 4[4]Feldmann A, Gilbert A C, et al. The changing nature of network traffic: Scaling phenomena [J]. Computer Communication Review, 1998, 28(2): 5—29.
  • 5[5]Floyd S, Handley M, Padhye J, Widmer J. Equation-Based Congestion Control for Unicast Applications [C]. SIGCOMM'2000.
  • 6[6]Gilbert A C, et al, Scaling Analisis of random cascades, with applications to network traffic [J]. IEEE Trans. Inform. Theory, 1999, 45(3): 971—991.
  • 7[7]Goncaves P, Riedi R, Baraniuk R. Simple statistical analysis of wavelet-based multifractal spectrum estimation [C]. Proc. 32nd Conf. Signals, Systems and Computers. Pacific Grove, CA, Nov. 1998.
  • 8[8]NS software and documentation is available at the following site[EB/OL]. http://www-mash. CS.Berkeley. EDU/ns.
  • 9[9]Riedi R, Levy-Vehel J. TCP traffic is multifractals: A numerical study[M]. Preprint, 1997.
  • 10[10]Riedi R, et al., A Multifractal Wavelet model with applications to network traffic [J]. IEEE Trans. Inform. Theory, 1999, 45(3): 991—1018.

同被引文献13

  • 1陆锦军,王执铨.基于混沌特性的网络流量预测[J].南京航空航天大学学报,2006,38(2):217-221. 被引量：25
  • 2Entchev E, Yang L. Application of adaptive neuro-fuzzy inference system techniques and artificial neural networks to predict solid oxide fuel cell performance in residential microgeneration installation [J]. Journal of Power Sources (S0378-7753), 2007, 170(1): 122-129.
  • 3Ran S, Venkata A, Kumar P D. Fuzzy logic-based expert system to predict the results of finite element analysis [J]. Knowledge-Based Systems (S0950-7051), 2007, 20(1): 3%50.
  • 4Zhang J, Yan W J, Gao H, et aL Time series prediction using Lyaptmov exponents in embedding phase space [J]. Computers & Electrical Engineering (S0045-7906), 2004, 30(1): 1-15.
  • 5吕金虎,陆君安.混沌时间序列分析及应用[M].湖北:武汉大学出版社.2001.
  • 6孙霞,吴自勤,黄昀.分形原理及应用[M].安徽:中国科学技术大学出版社,2003.
  • 7Renyi A. Probability Theoryl[M]. Amsterdan, North-Holland, 1970.
  • 8陈颐 陈凌.分形几何学[M].北京：地震出版社,1998..
  • 9姚若河,沈奕,吴湘淇.基于分形分析的图象边缘检测[J].铁道学报,2000,22(2):110-112. 被引量：4
  • 10李作敏,黄中祥,张亚平.高速公路交通流分形特性分析[J].中国公路学报,2000,13(3):82-85. 被引量：11

引证文献2

二级引证文献24

铁道学报
2001年 第2期

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