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@INPROCEEDINGS{Long:1037635,
      author       = {Long, Shiting and Pleiter, Dirk and Patrascoiu, Mihai and
                      Padrin, Cristiano and Carpene, Michele and More, Sergi and
                      Carpio, Miguel},
      title        = {{I}ntegrating {FTS} in the {F}enix {HPC} {I}nfrastructure},
      journal      = {The European physical journal / Web of Conferences},
      volume       = {295},
      issn         = {2100-014X},
      address      = {Les Ulis},
      publisher    = {EDP Sciences},
      reportid     = {FZJ-2025-00800},
      pages        = {01037},
      year         = {2024},
      abstract     = {As compute requirements in experimental high-energy
                      physicsare expected to significantly increase, there is a
                      need for leveraging high-performance computing (HPC)
                      resources. However, HPC systems are currentlyorganised and
                      operated in a way that this is not easily possible. Here we
                      willfocus on a specific e-infrastructure that incorporates
                      HPC resources, namelyFenix, which is based on a consortium
                      of 6 leading European supercomput-ing centres. Fenix was
                      initiated through the Human Brain Project (HBP) butalso
                      provides resources to other research communities in Europe.
                      The Fenixsites are integrated into a common AAI and provide
                      a so-called Archival DataRepository that can be accessed
                      through a Swift API.In this paper, we report on our efforts
                      to realise a data transfer service that allowto exchange
                      data with the Fenix e-infrastructure. This has been enabled
                      by im-plementing support of Swift in FTS3 and related
                      software components. We will,in particular, discuss how FTS3
                      has been integrated into the Fenix AAI, whichlargely follows
                      the architectural principles of the European Open Science
                      Cloud(EOSC). Furthermore, we show how end-users can use this
                      service through aWebFTS service that has been integrated
                      into the science gateway of the HBP,which is also known as
                      the HBP Collaboratory. Finally, we discuss how trans-fer
                      commands can be automatically distributed over several FTS3
                      instances tooptimise transfer between different Fenix
                      sites.},
      month         = {May},
      date          = {2023-05-08},
      organization  = {26th International Conference on
                       Computing in High Energy and Nuclear
                       Physics, Norfolk, VA (USA), 8 May 2023
                       - 12 May 2023},
      cin          = {JSC},
      ddc          = {530},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / 5121 -
                      Supercomputing $\&$ Big Data Facilities (POF4-512) / SLNS -
                      SimLab Neuroscience (Helmholtz-SLNS) / ICEI - Interactive
                      Computing E-Infrastructure for the Human Brain Project
                      (800858) / HBP SGA3 - Human Brain Project Specific Grant
                      Agreement 3 (945539)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(DE-HGF)POF4-5121 /
                      G:(DE-Juel1)Helmholtz-SLNS / G:(EU-Grant)800858 /
                      G:(EU-Grant)945539},
      typ          = {PUB:(DE-HGF)16 / PUB:(DE-HGF)8},
      UT           = {WOS:001244151900037},
      doi          = {10.1051/epjconf/202429501037},
      url          = {https://juser.fz-juelich.de/record/1037635},
}