%0 Journal Article
%T Statistical Analysis-based Approach for Storage System Performance Tuning<br>一种基于统计分析的存储系统性能调优方法
%A LU Cheng-tao
%A FENG Dan
%A WANG Fang
%A GE Xiong-zi
%A <br>陆承涛
%A 冯丹
%A 王芳
%A 葛雄资
%J 计算机科学
%D 2010
%I 
%X The reasonable configuration of computer systems can dramatically improve performance of applications.Taking an NFS storage system as a case study, this paper proposed a statistical analysis-based performance tuning approach for storage systems and it proceeds in two phases. In the first phase, we leveraged the analysis-of-variance method(ANOVA) to model the performance sensitivity and thus identified the critical system parameters that have a significant effect on performance of applications; and furthermore, based on the previous phase, we employed the response surface methodology (RSM) to fulfill the tuning analysis of the critical parameters in the second phase. Combining the foregoing two steps, we then presented the performance tuning algorithm, which is eventually used to figure out the optimal combination of critical system parameters. Finally, the experimental results demonstrated the effectiveness and fcasibility of our performance tuning approach through an extensive evaluation under various representative scenarios including Web, E-mail, Fileserver, Linux utilities, and micro-benchmarks.
%K Performance tuning
%K Analysis of variance
%K Response surface methodology
%K Storage system
%K Performance evalution<br>性能调优，方差分析，响应面分析，存储系统，性能评价
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=5B31E314DB2C76DA9A0FF3B09D1328F8&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=708DD6B15D2464E8&sid=F50A8B5513721E1C&eid=2AC7DCCBBC26ECF8&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0