%0 Journal Article
%T Influence of heavy-tailed distribution on network traffic<br>重尾分布对网络流量性质的影响
%A CHEN Chu
%A XU Yong
%A ZHANG Ling
%A <br>陈楚
%A 许勇
%A 张凌
%J 计算机应用
%D 2009
%I 
%X Scale burst and local burst coexist in network traffic. Research shows the heavy-tailed distribution variable is strongly unsteady, which means long enough traffic series is needed in traffic modeling. Simulated results indicate that heavy-tailed network traffic can be appropriately modeled by multi-fractal model in small time scale.
%K heavy-tailed distribution
%K self-similarity
%K multi-fractal
%K traffic model<br>重尾分布
%K 自相似
%K 重分形
%K 流量模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=9D5271A0B8A61A3859EB5EF9BF32394A&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=B31275AF3241DB2D&sid=E36FA098A813D3FB&eid=8424755CAF377B4D&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=12