Rucio is an open-source software framework that provides scientific collaborations with the functionality to organize, manage, and access their data at scale. The data can be distributed across heterogeneous data centers at widely distributed locations. Rucio was originally developed to meet the requirements of the high-energy physics experiment ATLAS, and now is continuously extended to support the LHC experiments and other diverse scientific communities. In this article, we detail the fundamental concepts of Rucio, describe the architecture along with implementation details, and give operational experience from production usage.
@article{arxiv.1902.09857,
title = {Rucio - Scientific data management},
author = {Martin Barisits and Thomas Beermann and Frank Berghaus and Brian Bockelman and Joaquin Bogado and David Cameron and Dimitrios Christidis and Diego Ciangottini and Gancho Dimitrov and Markus Elsing and Vincent Garonne and Alessandro di Girolamo and Luc Goossens and Wen Guan and Jaroslav Guenther and Tomas Javurek and Dietmar Kuhn and Mario Lassnig and Fernando Lopez and Nicolo Magini and Angelos Molfetas and Armin Nairz and Farid Ould-Saada and Stefan Prenner and Cedric Serfon and Graeme Stewart and Eric Vaandering and Petya Vasileva and Ralph Vigne and Tobias Wegner},
journal= {arXiv preprint arXiv:1902.09857},
year = {2019}
}