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European Conference on Parallel Processing

Euro-Par 2012: Euro-Par 2012 Parallel Processing pp 16–27Cite as

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Enabling Cloud Interoperability with COMPSs

Enabling Cloud Interoperability with COMPSs

  • Fabrizio Marozzo21,
  • Francesc Lordan19,
  • Roger Rafanell19,
  • Daniele Lezzi19,
  • Domenico Talia21,22 &
  • …
  • Rosa M. Badia19,20 
  • Conference paper
  • 2951 Accesses

  • 10 Citations

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7484)

Abstract

The advent of Cloud computing has given to researchers the ability to access resources that satisfy their growing needs, which could not be satisfied by traditional computing resources such as PCs and locally managed clusters. On the other side, such ability, has opened new challenges for the execution of their computational work and the managing of massive amounts of data into resources provided by different private and public infrastructures.

COMP Superscalar (COMPSs) is a programming framework that provides a programming model and a runtime that ease the development of applications for distributed environments and their execution on a wide range of computational infrastructures. COMPSs has been recently extended in order to be interoperable with several cloud technologies like Amazon, OpenNebula, Emotive and other OCCI compliant offerings.

This paper presents the extensions of this interoperability layer to support the execution of COMPSs applications into the Windows Azure Platform. The framework has been evaluated through the porting of a data mining workflow to COMPSs and the execution on an hybrid testbed.

Keywords

  • Parallel programming models
  • Cloud computing
  • Data mining
  • PaaS

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Author information

Authors and Affiliations

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

    Francesc Lordan, Roger Rafanell, Daniele Lezzi & Rosa M. Badia

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

    Rosa M. Badia

  3. DEIS, University of Calabria, Rende, CS, Italy

    Fabrizio Marozzo & Domenico Talia

  4. ICAR-CNR, Rende, CS, Italy

    Domenico Talia

Authors
  1. Fabrizio Marozzo
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  2. Francesc Lordan
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  3. Roger Rafanell
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  4. Daniele Lezzi
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  5. Domenico Talia
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  6. Rosa M. Badia
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Editor information

Editors and Affiliations

  1. University of Patras, Computer Technology Institute and Press “Diophantus”,, N. Kazantzaki, 26504, Rio, Greece

    Christos Kaklamanis

  2. University of Patras, University Building B, 26504, Rio, Greece

    Theodore Papatheodorou

  3. Computer Technology Institute and Press “Diophantus”, University of Patras, N. Kazantzaki, 26504, Rio, Greece

    Paul G. Spirakis

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Marozzo, F., Lordan, F., Rafanell, R., Lezzi, D., Talia, D., Badia, R.M. (2012). Enabling Cloud Interoperability with COMPSs. In: Kaklamanis, C., Papatheodorou, T., Spirakis, P.G. (eds) Euro-Par 2012 Parallel Processing. Euro-Par 2012. Lecture Notes in Computer Science, vol 7484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32820-6_4

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  • DOI: https://doi.org/10.1007/978-3-642-32820-6_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32819-0

  • Online ISBN: 978-3-642-32820-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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