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Machine Learning Techniques in the ATLAS TDAQ Network Monitoring System
Network monitoring is of great importance for every data acquisition system (DAQ), it ensures stable and uninterrupted data flow. However, when using standard tools such as Icinga, often homogeneity of the DAQ hardware is not exploited. We will present the application of machine learning techniques...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2667381 |