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Time Series Anomaly Detection for CERN Large-Scale Computing Infrastructure
Anomaly Detection in the CERN Data Center is a challenging task due to the large scale of the computing infrastructure and the large volume of data to monitor. At CERN, the current solution to spot anomalous server machines in the computing infrastructure relies on threshold-based alarming systems c...
Autor principal: | Paltenghi, Matteo |
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Lenguaje: | eng |
Publicado: |
Politecnico di Milano
2020
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2752641 |
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