Publications | Fabrizio Marozzo

@InProceedings{Mar-Tal-COMPSsAzure-Europar12,
      AUTHOR = {Marozzo, Fabrizio and Lordan, Francesc and Rafanell, Roger and Lezzi, Daniele and Talia, Domenico and Badia, RosaM.},
      TITLE = {Enabling cloud interoperability with COMPSs},
      YEAR = {2012},
      MONTH = {27-31 August},
      BOOKTITLE = {Proc. of the 18th International  European Conference on Parallel and Distributed (Europar 2012)},
      VOLUME = {7484},
      PAGES = {16-27},
      ADDRESS = {Rhodes Island, Greece},
      PUBLISHER = {Lecture Notes in Computer Science},
      URL = {http://dx.doi.org/10.1007/978-3-642-32820-6_4},
      PDF = {http://gridlab.dimes.unical.it/pubadmin/../papers/pdf/05-Europar12.pdf},
      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.},
      NOTE = {ISBN 978-3-642-32819-0}
}