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European Conference on Parallel Processing

Euro-Par 2011: Euro-Par 2011: Parallel Processing Workshops pp 83–93Cite as

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Cloud Patterns for mOSAIC-Enabled Scientific Applications

Cloud Patterns for mOSAIC-Enabled Scientific Applications

  • Teodor-Florin Fortiş30,31,
  • Gorka Esnal Lopez32,
  • Imanol Padillo Cruz32,
  • Gábor Ferschl33 &
  • …
  • Tamás Máhr33 
  • Conference paper
  • 1374 Accesses

  • 6 Citations

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7155)

Abstract

Cloud computing has a huge potential to change the way data- and computing-intensive applications are performing computations. These specific categories of applications raise different concerns and issues that can be bypassed by identifying relevant reusable cloud computing patterns, on the top of specific cloud computing use cases. Development of new cloud patterns will help offering a better support for the development and deployment of scientific distributed application over a cloud infrastructure.

Keywords

  • Cloud computing
  • cloud use cases
  • cloud patterns

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References

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Author information

Authors and Affiliations

  1. Institute e-Austria, Timişoara, Romania

    Teodor-Florin Fortiş

  2. West University of Timişoara, Timişoara, Romania

    Teodor-Florin Fortiş

  3. Tecnalia (Industrial Systems Unit), San Sebastián, Spain

    Gorka Esnal Lopez & Imanol Padillo Cruz

  4. AITIA International, Inc., Budapest, Hungary

    Gábor Ferschl & Tamás Máhr

Authors
  1. Teodor-Florin Fortiş
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  2. Gorka Esnal Lopez
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  3. Imanol Padillo Cruz
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  4. Gábor Ferschl
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  5. Tamás Máhr
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Editor information

Editors and Affiliations

  1. Scilytics, Koellnerhofgasse 3/15A, 1010, Vienna, Austria

    Michael Alexander

  2. ICAR-CNR, Via P. Castellino, 111, 80131, Napoli, Italy

    Pasqua D’Ambra

  3. University of Amsterdam, 1090, Amsterdam, Netherlands

    Adam Belloum

  4. Innovative Computing Laboratory, The University of Tennessee, USA

    George Bosilca

  5. Department of Experimental Medicine and Clinic, University Magna Græcia, 88100, Catanzaro, Italy

    Mario Cannataro

  6. Computer Science Department, University of Pisa, Italy

    Marco Danelutto

  7. Second University of Naples, Italy

    Beniamino Di Martino

  8. TU München, Boltzmannstr. 3, 85748, Garching, Germany

    Michael Gerndt

  9. Equipe Runtime, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Emmanuel Jeannot & Raymond Namyst & 

  10. Equipe HIEPACS, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Jean Roman

  11. Oak Ridge National Laboratory, Computer Science and Mathematics Division, 37831-6164, Oak Ridge, TN, USA

    Stephen L. Scott

  12. Department of Scientific Computing, University of Vienna, Nordbergstr. 15/3C, 1090, Vienna, Austrial

    Jesper Larsson Traff

  13. Computer Science and Mathematics Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA

    Geoffroy Vallée

  14. Technische Universität München, Germany

    Josef Weidendorfer

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Fortiş, TF., Lopez, G.E., Cruz, I.P., Ferschl, G., Máhr, T. (2012). Cloud Patterns for mOSAIC-Enabled Scientific Applications. In: Alexander, M., et al. Euro-Par 2011: Parallel Processing Workshops. Euro-Par 2011. Lecture Notes in Computer Science, vol 7155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29737-3_10

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  • DOI: https://doi.org/10.1007/978-3-642-29737-3_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29736-6

  • Online ISBN: 978-3-642-29737-3

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