Modelling large-scale scientific data transfers

Título:

Modelling large-scale scientific data transfers

Autor:

Bogado García, Joaquín Ignacio

Colaboradores:

; Lassnig, Mario; Monticelli, Fernando; Díaz, Francisco Javier

Temas:

MÉTRICASCOMPUTACIÓN DISTRIBUIDA

En:

Computing and Software for Big Science, 2022, 6(12).

Resumen:

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.

URL/DOI:

http://dx.doi.org/10.1007/s41781-022-00084-4

Palabras clave:

análisis de transferencia de datos

Medio:

Soporte electrónico

Tipo de documento:

Artículo

Descripción física:

1 archivo (2,9 MB)

Idioma:

Inglés

Publicación:

, 2022

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