文章基本信息

标题：Design and Evaluation of an Online Anomaly Detector for Distributed Storage Systems
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作者：Chen, Xin ; He, Xubin ; Guo, He 等
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2011
卷号：6
期号：12
页码：2379-2390
DOI：10.4304/jsw.6.12.2379-2390
语种：English
出版社：Academy Publisher
摘要：Performance problems, which may stem from different system components, such as network, memory, and storage devices, are difﬁcult to diagnose and isolate in distributed storage systems. In this paper, we present a performance anomaly detector which is able to efﬁciently detect performance anomaly and accurately identify the faulty sources in a system node of a distributed storage system. Our method exploits the stable relationship between workloads and system resource statistics to detect the performance anomaly and identify faulty sources which cause the performance anomaly in the system. Our experimental results demonstrate the efﬁciency and accuracy of the proposed performance anomaly detector.
关键词：performance anomaly detector;distributed storage systems;parallel ﬁle systems