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Machine Learning for ATLAS DDM Network Metrics
The increasing volume of physics data is posing a critical challenge to the ATLAS experiment. In anticipation of high luminosity physics, automation of everyday data management tasks has become necessary. Previously many of these tasks required human decision-making and operation. Recent advances in...
Autores principales: | Lassnig, Mario, Toler, Wesley, Vamosi, Ralf |
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Lenguaje: | eng |
Publicado: |
2016
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2220780 |
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