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@ARTICLE{Liu:859397,
      author       = {Liu, Jianlei and Braun, Eric and Düpmeier, Clemens and
                      Kuckertz, Patrick and Ryberg, Severin David and Robinius,
                      Martin and Stolten, Detlef and Hagenmeyer, Veit},
      title        = {{A}rchitectural {C}oncept and {E}valuation of a {F}ramework
                      for the {E}fficient {A}utomation of {C}omputational
                      {S}cientific {W}orkflows: {A}n {E}nergy {S}ystems {A}nalysis
                      {E}xample},
      journal      = {Applied Sciences},
      volume       = {9},
      number       = {4},
      issn         = {2076-3417},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {FZJ-2019-00256},
      pages        = {728 -},
      year         = {2019},
      abstract     = {Scientists and engineers involved in the design of complex
                      system solutions use computational workflows for their
                      evaluations. Along with growing system complexity, the
                      complexity of these workflows also increases. Without
                      integration tools, scientists and engineers are often highly
                      concerned with how to integrate software tools and model
                      sets, which hinders their original research or engineering
                      aims. Therefore, a new framework for streamlining the
                      creation and usage of automated computational workflows is
                      introduced in the present article. It uses state-of-the-art
                      technologies for automation (e.g., container-automation) and
                      coordination (e.g., distributed message oriented
                      middleware), and a microservice-based architecture for novel
                      distributed process execution and coordination. It also
                      supports co-simulations as part of larger workflows
                      including additional auxiliary computational tasks, e.g.,
                      forecasting or data transformation. Using Apache NiFi, an
                      easy-to-use web interface is provided to create, run and
                      control workflows without the need to be concerned with the
                      underlying computing infrastructure. Initial framework
                      testing via the implementation of a real-world workflow
                      underpins promising performance in the realms of
                      parallelizability, low overheads and reliable coordination},
      cin          = {IEK-3},
      ddc          = {600},
      cid          = {I:(DE-Juel1)IEK-3-20101013},
      pnm          = {134 - Electrolysis and Hydrogen (POF3-134)},
      pid          = {G:(DE-HGF)POF3-134},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000460696500114},
      doi          = {10.3390/app9040728},
      url          = {https://juser.fz-juelich.de/record/859397},
}