计算机应用研究Issue(11)：3215-3221,7.DOI:10.3969/j.issn.1001-3695.2015.11.003
互联网流量的演化研究
Longitudinal study on evolution of Internet traffic
摘要
Abstract
With the emergence of new network applications,whether there have been a lot change of Internet traffic characte-ristics is an important issue for network operators and researchers.This paper aimed to achieve valuable findings on the evolu-tion of Internet traffic.The dataset was derived from over the five years on a high-speed backbone link (the CAIDA dataset). It presented a long term characteristics study of Internet traffic,including packet,flow attributes and network applications.More importantly,it also analyzed the self-similarity of traffic.To mitigate inaccuracy of single method,it computed the self-similarity parameter Hurst by three methods (e.g.variance-time plot,wavelet etc.)to verify self-similarity of traffic.Experimental re-sults show that there are so many un-neglectable differences in the traffic characteristics over the five years.However,the self-similarity of traffic also remains stable along the entire period for packet and byte counts.The self-similar parameters Hurst for byte and packet counts are usually identical.This research can present a data support for studies as the network protocol de-sign,equipment development and network management etc.关键词
网络流量分析/流量演化/数据包/数据流/自相似Key words
network traffic analysis/traffic evolution/packet/data flow/self-similarity分类
信息技术与安全科学引用本文复制引用
张泽鑫,李俊,常向青..互联网流量的演化研究[J].计算机应用研究,2015,(11):3215-3221,7.基金项目
国家“973”计划资助项目（2012CB315803）；中国科学院计算机网络信息中心“一三五”计划资助项目 （）
