%0 Journal Article
%T Internet end-to-end delay prediction using support vector regression<br>一种基于支持向量回归的互联网端到端延迟预测算法
%A QIAN Feng
%A LIAN Tao
%A WU Jia-xing
%A <br>钱峰
%A 连涛
%A 吴嘉兴
%J 计算机应用研究
%D 2012
%I 
%X End-to-end packet delay of the Internet is the IP packet transmission delay along a determined path. An accurate end-to-end delay prediction is fundamental to numerous network activities, from protocol design to network monitoring, and from ensure end-to-end QoS to performance enhancement for realtime network applications. This paper presented a novel methodology for predicting end-to-end delay. The major contributions are: a) It converted the end-to-end delay prediction problem into the multivariate regression, and proposed a multivariate regression-based forecasting framework for end-to-end delay; b) It employed support vector regression (SVR) to solve the multivariate regression problem of end-to-end delay, and induced a SVR-based end-to-end delay predicting algorithm. Finally, it used the actual RTT data collected from Internet to validate the proposed algorithm. Simulation results show that the proposed algorithm has fast and accurate prediction characteristics, which is very suit for practical applications.
%K Internet
%K end-to-end delay
%K support vector regression(SVR)
%K prediction<br>互联网
%K 端到端延迟
%K 支持向量回归
%K 预测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=F886A295C1E57CC54927B44960269BC9&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=94C357A881DFC066&sid=EFD9B70C3A0525B7&eid=CE651EF760BCA96C&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=13