%0 Journal Article
%T Improved AR-based model of host load prediction in computing grid<br>一种基于自动回归的改进网格主机负载预测模型
%A CHENG Hong-bing
%A YANG Geng
%A <br>程宏兵
%A 杨庚
%J 计算机应用
%D 2005
%I 
%X As the main part of resources prediction in the grid computing, host load is particularly important. An improved AR-based model of host load prediction was presented, The improved model not only has the advantages that AR model has, such as, low computing cost and high stability, and has the advantages that AR model has not. It can predict the dynamic interval host load that some job will encounter in the future, and process some characters of the host load variance, for example, self-similarity and long-range dependence. Experiment results show that the improved model has come to an anticipant result.
%K autoregressive(AR)
%K host load
%K grid computing<br>自动回归
%K 主机负载
%K 网格计算
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=09D4B3DABD04CD8E&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=708DD6B15D2464E8&sid=2C1BC72871CFCFEC&eid=BD645585791E8E29&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=10