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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.
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Contributor : Manuele Kirsch Pinheiro Connect in order to contact the contributor
Submitted on : Tuesday, November 12, 2013 - 7:09:58 PM
Last modification on : Monday, May 9, 2022 - 5:16:04 PM
Long-term archiving on: : Thursday, February 13, 2014 - 12:36:11 PM


  • HAL Id : hal-00903718, version 1



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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