%0 Journal Article
%T Analysis of Key Parameters of Self-similar Traffic<br>自相似流量关键参数分析
%A TAN Xian-Hai LI Yan-Min PAN Qi-Jing JIN Wei-Dong
%A <br>谭献海
%A 黎燕敏
%A 潘启敬
%A 金炜东
%J 计算机科学
%D 2008
%I 
%X There is mounting experimental evidence that network traffic processes exhibit ubiquitous properties of self-similarity and long-range dependence (LRD),and self-similarity and long-range dependence have great impact on network performances. However,most current researches on self-similar traffic mainly focus on the estimation of Hurst index and its impact on network performances,which is not overall. In this paper,the key parameters impacting the network performances of self-similar traffic are investigated...
%K Network traffic
%K Self-similarity
%K Fractional brownian motion
%K Superposition of fractal renew process (Sup_FRP)
%K Index of dispersion for counts (IDC)<br>网络流量
%K 自相似
%K 分形布朗运动
%K 复合分形更新过程
%K 计数离差系数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=0C961E1EC6FDF3F5E5F833CA2E251054&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=38B194292C032A66&sid=D3E34374A0D77D7F&eid=340AC2BF8E7AB4FD&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=12