Report
Rucio - Scientific data management
| العنوان: | Rucio - Scientific data management |
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| المؤلفون: | Barisits, Martin, Beermann, Thomas, Berghaus, Frank, Bockelman, Brian, Bogado, Joaquin, Cameron, David, Christidis, Dimitrios, Ciangottini, Diego, Dimitrov, Gancho, Elsing, Markus, Garonne, Vincent, di Girolamo, Alessandro, Goossens, Luc, Guan, Wen, Guenther, Jaroslav, Javurek, Tomas, Kuhn, Dietmar, Lassnig, Mario, Lopez, Fernando, Magini, Nicolo, Molfetas, Angelos, Nairz, Armin, Ould-Saada, Farid, Prenner, Stefan, Serfon, Cedric, Stewart, Graeme, Vaandering, Eric, Vasileva, Petya, Vigne, Ralph, Wegner, Tobias |
| المصدر: | Barisits, M., Beermann, T., Berghaus, F. et al. Comput Softw Big Sci (2019) 3: 11 |
| سنة النشر: | 2019 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Distributed, Parallel, and Cluster Computing |
| الوصف: | 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. Comment: 21 pages, 11 figures |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1007/s41781-019-0026-3 |
| URL الوصول: | http://arxiv.org/abs/1902.09857 |
| رقم الانضمام: | edsarx.1902.09857 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1007/s41781-019-0026-3 |
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