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@ARTICLE{Cameron:473559,
      author       = {Cameron, David and Forti, Alessandra and Klimentov, Alexei
                      and Pacheco Pages, Andrés and South, David},
      title        = {{E}volution of {ATLAS} analysis workflows and tools for the
                      {HL}-{LHC} era},
      journal      = {The European physical journal / Web of Conferences},
      volume       = {251},
      issn         = {2100-014X},
      address      = {Les Ulis},
      publisher    = {EDP Sciences},
      reportid     = {PUBDB-2022-00114},
      pages        = {02002 -},
      year         = {2021},
      abstract     = {The High Luminosity LHC project at CERN, which is expected
                      to deliver a ten-fold increase in the luminosity of
                      proton-proton collisions over LHC, will start operation
                      towards the end of this decade and will deliver an
                      unprecedented scientific data volume of multi-exabyte scale.
                      This vast amount of data has to be processed and analysed,
                      and the corresponding computing facilities must ensure fast
                      and reliable data processing for physics analyses by
                      scientific groups distributed all over the world. The
                      present LHC computing model will not be able to provide the
                      required infrastructure growth, even taking into account the
                      expected evolution in hardware technology. To address this
                      challenge, several novel methods of how end-users analysis
                      will be conducted are under evaluation by the ATLAS
                      Collaboration. State-of-the-art workflow management
                      technologies and tools to handle these methods within the
                      existing distributed computing system are now being
                      evaluated and developed. In addition the evolution of
                      computing facilities and how this impacts ATLAS analysis
                      workflows is being closely followed.},
      month         = {May},
      date          = {2021-05-17},
      organization  = {25th International Conference on
                       Computing in High-Energy and Nuclear
                       Physics, Online (France), 17 May 2021 -
                       21 May 2021},
      keywords     = {activity report (INSPIRE) / ATLAS (INSPIRE) / data
                      management (INSPIRE) / computer: network (INSPIRE) /
                      performance (INSPIRE)},
      cin          = {ATLAS},
      ddc          = {530},
      cid          = {I:(DE-H253)ATLAS-20120731},
      pnm          = {611 - Fundamental Particles and Forces (POF4-611)},
      pid          = {G:(DE-HGF)POF4-611},
      experiment   = {EXP:(DE-H253)LHC-Exp-ATLAS-20150101},
      typ          = {PUB:(DE-HGF)36 / PUB:(DE-HGF)16},
      doi          = {10.1051/epjconf/202125102002},
      url          = {https://bib-pubdb1.desy.de/record/473559},
}