Statistical techniques for online anomaly detection in data centers
Online anomaly detection is an important step in data center management, requiring light-weight techniques that provide sufficient accuracy for subsequent diagnosis and management actions. This paper presents statistical techniques based on the Tukey and Relative Entropy statistics, and applies them...
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Published in | 2011 IFIP/IEEE International Symposium on Integrated Network Management pp. 385 - 392 |
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Main Authors | , , , , , |
Format | Conference Proceeding |
Language | English Japanese |
Published |
IEEE
01.05.2011
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Subjects | |
Online Access | Get full text |
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