Enabling Cloud Interoperability with COMPSs

  • Fabrizio Marozzo
  • Francesc Lordan
  • Roger Rafanell
  • Daniele Lezzi
  • Domenico Talia
  • Rosa M. Badia
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7484)


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.


Parallel programming models Cloud computing Data mining PaaS 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Fabrizio Marozzo
    • 3
  • Francesc Lordan
    • 1
  • Roger Rafanell
    • 1
  • Daniele Lezzi
    • 1
  • Domenico Talia
    • 3
    • 4
  • Rosa M. Badia
    • 1
    • 2
  1. 1.Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS)Spain
  2. 2.Artificial Intelligence Research Institute (IIIA)Spanish Council for Scientific Research (CSIC)Spain
  3. 3.DEISUniversity of CalabriaRendeItaly
  4. 4.ICAR-CNRRendeItaly

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