Rucio: Scientific Data Management

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dc.contributor.authorBarisits, Martin
dc.contributor.authorBeermann, Thomas
dc.contributor.authorBerghaus, Frank
dc.contributor.authorBockelman, Brian
dc.contributor.authorBogado, Joaquin
dc.contributor.authorCameron, David
dc.contributor.authorChristidis, Dimitrios
dc.contributor.authorCiangottini, Diego
dc.contributor.authorDimitrov, Gancho
dc.contributor.authorElsing, Markus
dc.contributor.authorGaronne, Vincent
dc.contributor.authorDi Girolamo, Alessandro
dc.contributor.authorGoossens, Luc
dc.contributor.authorGuan, Wen
dc.contributor.authorGuenther, Jaroslav
dc.contributor.authorJavurek, Tomas
dc.contributor.authorKuhn, Dietmar
dc.contributor.authorLassnig, Mario
dc.contributor.authorLopez, Fernando
dc.contributor.authoret al.
dc.date.accessioned2020-11-24T00:23:26Z
dc.date.available2020-11-24T00:23:26Z
dc.date.copyright2019en_US
dc.date.issued2019
dc.description.abstractRucio 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.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipAcknowledgements This work was done as part of the distributed computing research and development program within the ATLAS Collaboration. We thank our ATLAS colleagues for their support. In particular we wish to acknowledge the contributions of the ATLAS Distributed Computing (ADC) team. We also thank former colleagues Miguel Branco, Pedro Salgado, and Florbela Viegas for their contributions to the Rucio predecessor system DQ2.en_US
dc.identifier.citationBarisits, M., Beermann, T., Berghaus, F., Bockelman, B., Bogado, J., Cameron, D., … Wegner, T. (2019). Rucio: Scientific Data Management. Computing and Software for Big Science, 3(1). https://doi.org/10.1007/s41781-019-0026-3en_US
dc.identifier.urihttps://doi.org/10.1007/s41781-019-0026-3
dc.identifier.urihttp://hdl.handle.net/1828/12376
dc.language.isoenen_US
dc.publisherComputing and Software for Big Scienceen_US
dc.subjectData organization
dc.subjectData management
dc.subjectData access
dc.subjectDistributed computing
dc.subjectExascale
dc.subject.departmentDepartment of Physics and Astronomy
dc.titleRucio: Scientific Data Managementen_US
dc.typeArticleen_US

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