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Forecasting Network Throughput of Remote Data Access in Computing Grids
Computing grids are key enablers of computational science. Researchers from many fields (High Energy Physics, Bioinformatics, Climatology, etc.) employ grids for execution of distributed computational jobs. These computing workloads are typically data-intensive. The current state of the art approach...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1016/j.jocs.2020.101158 http://cds.cern.ch/record/2621616 |