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Analyzing WLCG File Transfer Errors Through Machine Learning: An Automatic Pipeline to Support Post-mortem Distributed Data Management
The increasingly growing scale of modern computing infrastructures solicits more ingenious and automatic solutions to their management. Our work focuses on file transfer failures within the Worldwide Large Hadron Collider Computing Grid and proposes a pipeline to support distributed data management...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/s41781-022-00089-z http://cds.cern.ch/record/2839280 |