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Garonne, V. (CERN) ; Graeme, A. (CERN) ; Lassnig, M. (CERN) ; Molfetas, A. (CERN) ; Barisits, M. (CERN) ; Beermann, T. (CERN) ; Nairz, A. (CERN) ; Goossens, L. (CERN) ; Barreiro Megino, F (CERN) ; Serfon, C. (Ludwig-Maximilians-Universitat Munchen, Munich, Germany) ; Oleynik, D. (Joint Institute for Nuclear Research, Dubna, Russia) ; Petrosyan, A. (Joint Institute for Nuclear Research, Dubna, Russia)
Abstract: ATLAS has recorded almost 8PB of RAW data since the LHC started running at the end of 2009. Many more derived data products and complimentary simulation data have also been produced by the collaboration and, in total, 90PB is currently stored in the Worldwide LHC Computing Grid by ATLAS. All this data is managed by the ATLAS Distributed Data Management system, called Don Quijote 2 (DQ2). DQ2 has evolved rapidly to help ATLAS Computing operations manage these large quantities of data across the many grid sites at which ATLAS runs, and to help ATLAS physicists get access to this data. In this paper, we describe new and improved DQ2 services, and the experience of data management operation in ATLAS computing, showing how these services enable the management of petabyte scale computing operations. We also present the concepts of the new version of the ATLAS Distributed Data Management (DDM) system, Rucio.
Keyword(s): ATLAS, Distributed Data Management System, DQ2, Rucio