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Title: Rucio - Scientific data management

Abstract

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 report operational experience from production usage.

Authors:
;
Publication Date:
Research Org.:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
OSTI Identifier:
1542972
Report Number(s):
arXiv:1902.09857; ATL-COM-SOFT-2018-100; FERMILAB-PUB-19-095-CD; 2510-2044
oai:inspirehep.net:1722117
Grant/Contract Number:  
AC02-07CH11359
Resource Type:
Accepted Manuscript
Journal Name:
Comput.Softw.Big Sci.
Additional Journal Information:
Journal Volume: 3; Journal Issue: 1
Country of Publication:
United States
Language:
English

Citation Formats

Barisits, Martin, and et al. Rucio - Scientific data management. United States: N. p., 2019. Web. doi:10.1007/s41781-019-0026-3.
Barisits, Martin, & et al. Rucio - Scientific data management. United States. doi:10.1007/s41781-019-0026-3.
Barisits, Martin, and et al. Fri . "Rucio - Scientific data management". United States. doi:10.1007/s41781-019-0026-3.
@article{osti_1542972,
title = {Rucio - Scientific data management},
author = {Barisits, Martin and et al.},
abstractNote = {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 report operational experience from production usage.},
doi = {10.1007/s41781-019-0026-3},
journal = {Comput.Softw.Big Sci.},
number = 1,
volume = 3,
place = {United States},
year = {2019},
month = {8}
}

Journal Article:
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Works referenced in this record:

Distributed computing in practice: the Condor experience
journal, January 2005

  • Thain, Douglas; Tannenbaum, Todd; Livny, Miron
  • Concurrency and Computation: Practice and Experience, Vol. 17, Issue 2-4, p. 323-356
  • DOI: 10.1002/cpe.938