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@ARTICLE{Riedel:4749,
      author       = {Riedel, M. and Wolf, F. and Kranzlmüller, D. and Streit,
                      A. and Lippert, T.},
      title        = {{R}esearch {A}dvances by using {I}nteroperable e-{S}cience
                      {I}nfrastructures - {T}he {I}nfrastructure
                      {I}nteroperability {R}eference {M}odel applied in
                      e-{S}cience},
      journal      = {Cluster computing},
      volume       = {12},
      issn         = {1386-7857},
      address      = {Dordrecht [u.a.]},
      publisher    = {Springer Science + Business Media B.V},
      reportid     = {PreJuSER-4749},
      pages        = {357 - 372},
      year         = {2009},
      note         = {The work presented here is related to efforts of many
                      talented computer scientists and e-scientists that are
                      funded by various public funding organizations that we thank
                      and acknowledge, because this work would not have been
                      possible without their continuous and sustainable support.
                      We also want to express our gratitudes to the members of the
                      OGF Grid Interoperation Now community group and the OGF
                      Production Grid Infrastructure working group. The work and
                      discussions in these groups significantly supported the
                      progress and adoption of the IIRM in many different ways. We
                      also especially thank the e-scientists of the WISDOM team
                      that include J. Salzemann, A. Da Costa, V. Bloch, V. Breton,
                      M. Hofmann-Apitius, and, most notably, V. Kasam. In the
                      context of the scientific use case of Gridenabled
                      neurosurgical imaging we are deeply thankful to P. Coveney,
                      S. Manos, and S. Zasada. This work is partly funded via the
                      European project DEISA-II that is funded by the European
                      Commission in FP7 under grant agreement RI-222919. Also, we
                      thank the application support team in Julich in supporting
                      our efforts in demonstrating the IIRM use cases at the
                      Supercomputing 2007 and 2008. Our final thanks go to the
                      Forschungszentrum Julich of the Helmholtz association in
                      general and the Julich Supercomputing Centre in particular.},
      abstract     = {Computational simulations and thus scientific computing is
                      the third pillar alongside theory and experiment in todays
                      science. The term e-science evolved as a new research field
                      that focuses on collaboration in key areas of science using
                      next generation computing infrastructures (i.e. co-called
                      e-science infrastructures) to extend the potential of
                      scientific computing. During the past years, significant
                      international and broader interdisciplinary research is
                      increasingly carried out by global collaborations that often
                      share a single e-science infrastructure. More recently,
                      increasing complexity of e-science applications that embrace
                      multiple physical models (i.e. multi-physics) and consider a
                      larger range of scales (i.e. multi-scale) is creating a
                      steadily growing demand for world-wide interoperable
                      infrastructures that allow for new innovative types of
                      e-science by jointly using different kinds of e-science
                      infrastructures. But interoperable infrastructures are still
                      not seamlessly provided today and we argue that this is due
                      to the absence of a realistically implementable
                      infrastructure reference model. Therefore, the fundamental
                      goal of this paper is to provide insights into our proposed
                      infrastructure reference model that represents a trimmed
                      down version of ogsa in terms of functionality and
                      complexity, while on the other hand being more specific and
                      thus easier to implement. The proposed reference model is
                      underpinned with experiences gained from e-science
                      applications that achieve research advances by using
                      interoperable e-science infrastructures.},
      keywords     = {J (WoSType)},
      cin          = {JSC / JARA-HPC},
      ddc          = {004},
      cid          = {I:(DE-Juel1)JSC-20090406 / $I:(DE-82)080012_20140620$},
      pnm          = {Scientific Computing / DEISA2 - Distributed European
                      Infrastructure for Supercomputing Applications 2 (222919)},
      pid          = {G:(DE-Juel1)FUEK411 / G:(EU-Grant)222919},
      shelfmark    = {Computer Science, Information Systems / Computer Science,
                      Theory $\&$ Methods},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000271723100002},
      doi          = {10.1007/s10586-009-0102-2},
      url          = {https://juser.fz-juelich.de/record/4749},
}