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Erratic server behavior detection using machine learning on streams of monitoring data
With the explosion of the number of distributed applications, a new dynamic server environment emerged grouping servers into clusters, utilization of which depends on the current demand for the application. To provide reliable and smooth services it is crucial to detect and fix possible erratic beha...
| Autores principales: | , , , |
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| Lenguaje: | eng |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1051/epjconf/202024507002 http://cds.cern.ch/record/2752527 |