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A simulation tool for ALICE storage and computing resource usage
The LHC experiments produce many tens of petabytes of data each year, which must be stored, processed and analyzed. The CPU and storage resources required for these activities are planned for and requested on yearly basis. To make a better resource planning, a more fine-grained time prediction for t...
| Autores principales: | , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1051/epjconf/201921403017 http://cds.cern.ch/record/2701590 |