PER-MARE: Adaptive Deployment of MapReduce over Pervasive Grids

Luiz Angelo Steffenel 1 Olivier Flauzac 1 Andrea Schwertner Charão 2 Patricia Pitthan Barcelos 2 Benhur Stein 2 Sergio Nesmachnow 3 Manuele Kirsch Pinheiro 4 Daniel Diaz 4
1 CRESTIC - Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804
2 LSC - Laboratório de Sistemas de Computação
3 UDELAR - UDELAR, Facultad de Ingenieria [Montevideo]
4 CRI - Centre de Recherche en Informatique de Paris 1
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.
Keywords : Pervasive computing MapReduce Big data
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Conference papers
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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 : Friday, September 27, 2019 - 12:16:02 PM
Long-term archiving on : Thursday, February 13, 2014 - 12:36:11 PM

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Luiz Angelo Steffenel, Olivier Flauzac, Andrea Schwertner Charão, Patricia Pitthan Barcelos, Benhur Stein, et al.. PER-MARE: Adaptive Deployment of MapReduce over Pervasive Grids. 8th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC'13), Oct 2013, COMPIEGNE, FRANCE, France. pp.17-24. ⟨hal-00903718⟩

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