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Latent Fault Detection in Cloud Services Mickey Gabela,b,1 , Ran Gilad-Bachracha , Nikolaj Bjørnera , Assaf Schustera,b,1 a Microsoft b Computer Research, Redmond, USA
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Document Date: 2011-07-13 21:23:13


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Haifa / /

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Term Suspect Failing Healthy Precision / LG / Tukey / LOF Precision / Microsoft / /

Country

Israel / /

Event

Product Issues / Product Recall / Person Communication and Meetings / /

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monitoring / automatic repair / internet cloud services / production services / deployment of services / inner product / data mining approach / large scale services / statistical tool / outlier detection algorithm / large portal / similar hardware / verification protocol / health systems / data center management infrastructure / search engine / cloud services / /

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USA Science Department / Technion / /

Person

Nikolaj Bjørnera / /

Position

author / /

Product

0.6 0.4 0.2 Precision 1 Precision Precision FPR / 0.4 0.6 0.8 0.6 0.4 0.2 0 / Precision Precision FPR 1 TPR / 0.01 0.8 / days / 0.8 0.8 0.6 0.4 TPR / sign / Test Tukey sign LOF Precision / machines / SE machine / /

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Prince Edward Island / /

Technology

outlier detection algorithm / virtual machine / HilOut algorithm / load balancing / verification protocol / data mining / search engine / machine learning / operating system / preprocessing algorithm / 5 Algorithm / /

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