%0 Journal Article
%T Automatic temporal and spatial modeling of read request<br>读请求的空间与时间特征建模
%A WEI Wen-guo
%A LUO Jun
%A XIANG Jun
%A <br>魏文国
%A 罗俊
%A 向军
%J 计算机应用
%D 2006
%I 
%X In order to improve I/O performance of parallel applications and parallel file systems,an automatic modeler was presented to model and predict for read request temporal and spatial series.It used autocorrelation function and Haar wavelet transform technology to automatically identify and build Autoregressive Integrated Moving Average(ARIMA) models of interarrival times.It used Markov modeler to model and forecast spatial series.Our prefetching method can combine ARIMA time series predictions and Markov model spatial predictions to adaptively determine when,what,and how many data blocks to be prefetched.
%K parallel file system
%K modeling of read request
%K predict
%K autoregressive integrated moving average model
%K Markov model<br>并行文件系统
%K 读请求建模
%K 预测
%K 自回归、集成的移动平均模型
%K 马尔可夫模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=A18FDFC7F2F3A685&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=B31275AF3241DB2D&sid=E43F9466FF16A152&eid=033F76C1E79F93E7&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=6