%0 Journal Article
%T New Analysis Method for Self-similar Network Traffic Based on the Differential Analysis<br>自相似网络流量差分分析新方法
%A LI Li
%A YU Li
%A ZHU Guang-Xi
%A BAI Yun
%A <br>李立
%A 喻莉
%A 朱光喜
%A 白云
%J 计算机科学
%D 2008
%I 
%X The fact that multi-media network traffic is with heavy-tail character and self-similar character has been known to researchers. At the same time, Alpha-stable process, the extension of Gaussian process, has the advantage of modeling heavy-tail character and self-similar character. Alpha-stable distribution and Alpha-stable process are introduced at the beginning of this paper. Then after analyzing of current network traffic models based on Alpha-stable process and Linear Fractional Stable Noise (LFSN), we ...
%K Network traffic model
%K Alpha-stable distribution
%K Linear fractional stable noise
%K Difference analysis
%K Parameter estimation method<br>网络流量建模
%K Alpha-stable分布
%K 线形分形稳定噪声
%K 差分分析
%K 参数估计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=D61B4D892ECBA404F1A694FAE60EF627&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=E158A972A605785F&sid=4BB057F167CF3A60&eid=DDD31293A7C7D057&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=13