Per-mare: Adaptive deployment of mapreduce over pervasive grids
Map Reduce 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 infrastructures 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 Map Reduce data-intensive applications …
on massive amounts of data, being widely deployed on clusters, grid, and cloud
infrastructures. Interestingly, while the emergence of cloud infrastructures 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 Map Reduce data-intensive applications …
[PDF][PDF] PER-MARE: Adaptive deployment of MapReduce over pervasive grids
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 infrastructures 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 PERMARE initiative, which aims at
proposing scalable techniques to support existent MapReduce data-intensive applications …
on massive amounts of data, being widely deployed on clusters, grid, and cloud
infrastructures. Interestingly, while the emergence of cloud infrastructures 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 PERMARE initiative, which aims at
proposing scalable techniques to support existent MapReduce data-intensive applications …
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