TY  - GEN
T1  - Modelling large-scale scientific data transfers
A1  - Bogado García, Joaquín Ignacio
A2  - Lassnig, Mario
A2  - Monticelli, Fernando
A2  - Díaz, Francisco Javier
LA  - English
UL  - http://vufind10-pruebas.sigbunlp.bibliotecas.unlp.edu.ar/Record/dif.57820
AB  - 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.
NO  - Formato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
KW  - MÉTRICAS
KW  - COMPUTACIÓN DISTRIBUIDA
KW  - análisis de transferencia de datos
ER  -