%0 Journal Article
%T Combined forecasting of cloud computing resources on improved encompassing tests<br>基于改进的包容性检验的云计算资源组合预测
%A LI Hong-an
%A KANG Bao-sheng
%A ZHANG Jing
%A DU Zhuo-ming
%A ZHU Yu
%A <br>李洪安
%A 康宝生
%A 张　婧
%A 杜卓明
%A 朱　煜
%J 计算机应用研究
%D 2013
%I 
%X To solve the problems that the encompassing tests in combined forecasting of cloud computing resources have a high computation and a low accuracy, this paper proposed and applied a method of improved encompassing tests to the combined forecasting of cloud computing resources. It made the encompassing tests gradually in the order of the single forecasting model's relative merits, and with the combination of forecasting based on principal component analysis, which formed the method of improved encompassing tests. The simulation results show that the method of improved encompassing tests can not only increase the calculation efficiency and accuracy, but also improve the performance of the combined forecasting of cloud computing resources.
%K 云计算
%K 包容性检验
%K 主成分分析
%K 组合预测模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=51EFA6F8AD100243AB8EDF2DAE92E634&yid=FF7AA908D58E97FA&vid=340AC2BF8E7AB4FD&iid=CA4FD0336C81A37A&sid=10828928EB89AD8E&eid=627456E7977439A4&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=21