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Conference papers
PER-MARE: Adaptive Deployment of MapReduce over Pervasive Grids
Abstract : MapReduce is a parallel programming paradigm successfully used to perform computations on massive amounts of data, being widely deployed on clusters, grid, and cloud infrastructures. Interestingly, while the emergence of cloud in- frastructures has opened new perspectives, several enterprises hesitate to put sensible data on the cloud and prefer to rely on internal resources. In this paper we introduce the PER- MARE initiative, which aims at proposing scalable techniques to support existent MapReduce data-intensive applications in the context of loosely coupled networks such as pervasive and desktop grids. By relying on the MapReduce programming model, PER-MARE proposes to explore the potential advan- tages of using free unused resources available at enterprises as pervasive grids, alone or in a hybrid environment. This paper presents the main lines that orient the PER-MARE approach and some preliminary results.
https://hal-paris1.archives-ouvertes.fr/hal-00903718
Contributor : Manuele Kirsch Pinheiro <>
Submitted on : Tuesday, November 12, 2013 - 7:09:58 PM
Last modification on : Monday, May 4, 2020 - 11:38:54 AM
Document(s) archivé(s) le : Thursday, February 13, 2014 - 12:36:11 PM
Contributor : Manuele Kirsch Pinheiro <>
Submitted on : Tuesday, November 12, 2013 - 7:09:58 PM
Last modification on : Monday, May 4, 2020 - 11:38:54 AM
Document(s) archivé(s) le : Thursday, February 13, 2014 - 12:36:11 PM
