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Rucio beyond ATLAS: Experiences from Belle II, CMS, DUNE, EISCAT3D, LIGO/VIRGO, SKA, XENON
For many scientific projects, data management is an increasingly complicated challenge. The number of data-intensive instruments generating unprecedented volumes of data is growing and their accompanying workflows are becoming more complex. Their storage and computing resources are heterogeneous and...
| 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/202024511006 http://cds.cern.ch/record/2711755 |