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@INPROCEEDINGS{Holl:201129,
      author       = {Holl, Sonja and Zimmermann, Olav and Hofmann-Apitius,
                      Martin},
      title        = {{A} new optimization phase for scientific workflow
                      management systems},
      publisher    = {IEEE},
      reportid     = {FZJ-2015-03434},
      pages        = {1 - 8},
      year         = {2012},
      comment      = {2012 IEEE 8th International Conference on E-Science :
                      [Proceedings] - IEEE, 2012.},
      booktitle     = {2012 IEEE 8th International Conference
                       on E-Science : [Proceedings] - IEEE,
                       2012.},
      abstract     = {Scientific workflows have emerged as an important tool for
                      combining computational power with data analysis for all
                      scientific domains in e-science. They help scientists to
                      design and execute complex in silico experiments. However,
                      with increasing complexity it becomes more and more
                      infeasible to optimize scientific workflows by trial and
                      error. To address this issue, this paper describes the
                      design of a new optimization phase integrated in the
                      established scientific workflow life cycle. We have also
                      developed a flexible optimization application programming
                      interface (API) and have integrated it into a scientific
                      workflow management system. A sample plugin for parameter
                      optimization based on genetic algorithms illustrates, how
                      the API enables rapid implementation of concrete workflow
                      optimization methods. Finally, a use case taken from the
                      area of structural bioinformatics validates how the
                      optimization approach facilitates setup, execution and
                      monitoring of workflow parameter optimization in high
                      performance computing e-science environments.},
      month         = {Oct},
      date          = {2012-10-08},
      organization  = {2012 IEEE 8th International Conference
                       on E-Science (e-Science), Chicago (IL),
                       8 Oct 2012 - 12 Oct 2012},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {412 - Grid Technologies and Infrastructures (POF2-412) /
                      411 - Computational Science and Mathematical Methods
                      (POF2-411)},
      pid          = {G:(DE-HGF)POF2-412 / G:(DE-HGF)POF2-411},
      typ          = {PUB:(DE-HGF)8},
      doi          = {10.1109/eScience.2012.6404479},
      url          = {https://juser.fz-juelich.de/record/201129},
}