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European Conference on Parallel Processing

Euro-Par 2011: Euro-Par 2011: Parallel Processing Workshops pp 25–34Cite as

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Enabling e-Science Applications on the Cloud with COMPSs

Enabling e-Science Applications on the Cloud with COMPSs

  • Daniele Lezzi30,31,
  • Roger Rafanell30,
  • Abel Carrión33,
  • Ignacio Blanquer Espert33,
  • Vicente Hernández33 &
  • …
  • Rosa M. Badia30,32 
  • Conference paper
  • 1363 Accesses

  • 6 Citations

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

Abstract

COMP Superscalar (COMPSs) is a programming framework that provides an easy-to-use programming model and a runtime to ease the development of applications for distributed environments. Thanks to its modular architecture COMPSs can use a wide range of computational infrastructures providing a uniform interface for job submission and file transfer operations through adapters for different middlewares. In the context of the VENUS-C project the COMPSs framework has been extended through the development of a programming model enactment service that allows researcher to transparently port and execute scientific applications in the Cloud.

This paper presents the implementation of a bioinformatics workflow (using BLAST as core program), the porting to the COMPSs framework and its deployment on the VENUS-C platform. The proposed approach has been evaluated on a Cloud testbed using virtual machines managed by EMOTIVE Cloud and compared to a similar approach on the Azure platform and to other implementations on HPC infrastructures.

Keywords

  • Cloud Computing
  • Virtual Machine
  • Virtual Resource
  • Bioinformatics Application
  • Enactment Service

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. Barcelona Supercomputing Center, Centro Nacional de Supercomputación (BSC-CNS), Spain

    Daniele Lezzi, Roger Rafanell & Rosa M. Badia

  2. Universitat Politècnica de Catalunya (UPC), Spain

    Daniele Lezzi

  3. Spanish Council for Scientific Research (CSIC), Artificial Intelligence Research Institute (IIIA), Spain

    Rosa M. Badia

  4. Instituto de Instrumentación para Imagen Molecular (I3M), Centro mixto CSIC, Universitat Politècnica de València, CIEMAT, Spain

    Abel Carrión, Ignacio Blanquer Espert & Vicente Hernández

Authors
  1. Daniele Lezzi
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  2. Roger Rafanell
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  3. Abel Carrión
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  4. Ignacio Blanquer Espert
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  5. Vicente Hernández
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  6. Rosa M. Badia
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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

Lezzi, D., Rafanell, R., Carrión, A., Espert, I.B., Hernández, V., Badia, R.M. (2012). Enabling e-Science Applications on the Cloud with COMPSs. 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_4

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  • DOI: https://doi.org/10.1007/978-3-642-29737-3_4

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  • Print ISBN: 978-3-642-29736-6

  • Online ISBN: 978-3-642-29737-3

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