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Other Publications Year : 2012

Efficient fault monitoring with Collaborative Prediction

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Abstract

Isolating users from the inevitable faults in large distributed systems is critical to Quality of Experience. We formulate the problem of probe selection for fault prediction based on end-to-end probing as a Collaborative Prediction (CP) problem. On an extensive experimental dataset from the EGI grid, the combination of the Maximum Margin Matrix Factorization approach to CP and Active Learning shows excellent performance, reducing the number of probes typically by 80% to 90%.
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Dates and versions

hal-00758025 , version 1 (27-11-2012)

Licence

Attribution - CC BY 4.0

Identifiers

  • HAL Id : hal-00758025 , version 1

Cite

Dawei Feng, Cecile Germain-Renaud, Tristan Glatard. Efficient fault monitoring with Collaborative Prediction. 2012. ⟨hal-00758025⟩
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