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|a Bogado García, Joaquín Ignacio
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|a Modelling large-scale scientific data transfers
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|a 1 archivo (2,9 MB)
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|a Formato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
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|a This work focuses on the study of a recently published dataset (Bogado et al. in ATLAS Rucio transfers dataset. Zenodo, 2020.) with data that allow us to reconstruct the lifetime of file transfers in the contexts of the Worldwide LHC Computing Grid (WLCG). Several models for Rule Time To Complete (TTC) prediction are presented and evaluated. The dataset source is Rucio, an open-source software framework that provides scientific collaborations with the functionality to organize, manage, and access their data at scale. The rich amount of data gathered about the transfers and rules, presents a unique opportunity to better understand the complex mechanisms involved in file transfers across the WLCG.
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| 534 |
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|a Computing and Software for Big Science, 2022, 6(12).
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| 650 |
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|a MÉTRICAS
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| 650 |
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4 |
|a COMPUTACIÓN DISTRIBUIDA
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| 653 |
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|a análisis de transferencia de datos
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| 700 |
1 |
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|a Lassnig, Mario
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| 700 |
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|a Monticelli, Fernando
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|a Díaz, Francisco Javier
|9 4623
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|u http://dx.doi.org/10.1007/s41781-022-00084-4
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|u http://catalogo.info.unlp.edu.ar/meran/getDocument.pl?id=2675
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