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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Bibliographische Detailangaben

Hauptverfasser:	Chengwei Wang, Viswanathan, K., Choudur, L., Talwar, V., Satterfield, W., Schwan, K.
Format:	Tagungsbericht
Sprache:	eng ; jpn
Schlagworte:	Production
Online-Zugang:	Volltext bestellen
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