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基于自相似特性的流量测量采样方法
引用本文:孙名松,董慧颖. 基于自相似特性的流量测量采样方法[J]. 自动化技术与应用, 2008, 27(5): 80-83
作者姓名:孙名松  董慧颖
作者单位:哈尔滨理工大学网络信息中心,黑龙江,哈尔滨,150080;哈尔滨理工大学计算机科学与技术学院,黑龙江,哈尔滨,150080
摘    要:针对大型网络流量测量中测量数据量巨大、不能有效地描述流量特征的问题,本文将近年来网络研究的热点自相似性运用在流量测量中。根据流量变化对自相似参数H的影响,提出了一种基于网络的自相似特性的流量测量采样方法。该方法降低了流量测量的采样频率,能够及时、准确地发现网络异常,并能使测量数据更准确地刻画流量特征。

关 键 词:采样  自相似  流量测量  自适应
文章编号:1003-7241(2008)05-0080-04
修稿时间:2007-10-12

Sampling Method for Traffic Measurement Based On Self-similarity
SUN Ming-Song,DONG Hui-Ying. Sampling Method for Traffic Measurement Based On Self-similarity[J]. Techniques of Automation and Applications, 2008, 27(5): 80-83
Authors:SUN Ming-Song  DONG Hui-Ying
Affiliation:SUN Ming-Song, DONG Hui-Ying ( 1.Department of Netork Information Center, Harbin University of Science and Technology, Haerbin 150080 China; 2.Department of Computer Sci&Tech, Harbin University of Science and Technology, Haerbin 150080 China )
Abstract:This paper introduce a traffic measurement method for the large network. According to the change in Hurst parameter caused by the network traffic,a traffic measurement sampling method is proposed based on the self-similarity.This method can reduce the sampling frequency and characterize the network traffic accurately.
Keywords:sampling  self-similarity  traffic measurement  adaptability
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