This paper shows the applicability and high performance of the MapReduce paradigm through MARIANE, an implementation designed for clustered and shared-disk file ...
This paper not only presents a MapReduce implementation directly suitable for HPC environments, but also exposes the design choices for better performance gains ...
This paper not only presents a MapReduce implementation directly suitable for such environments, but also exposes the design choices for better performance ...
This paper not only presents a MapReduce implementation directly suitable for HPC environments, but also exposes the design choices for better performance gains ...
MapReduce is increasingly becoming a popular framework, and a potent programming model. The most popular open source implementation of MapReduce, Hadoop, ...
This paper shows the applicability and high performance of the MapReduce paradigm through MARIANE, an implementation designed for clustered and shared-disk file ...
MARIANE: Using MapReduce in HPC environments | Request PDF
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This paper not only presents a MapReduce implementation directly suitable for such environments, but also exposes the design choices for better performance ...
Feb 14, 2014 · MARIANE follows the same basic tenets for any MapReduce-like implementation: (1) fault tolerance, (2) high-throughput, and (3) data management.
This paper not only presents a MapReduce implementation directly suitable for such environments, but also exposes the design choices for better performance ...
MARIANE: MApReduce Implementation Adapted for HPC Environments. 22 Sept 2011, 18:00. 30m. Rhone 3 (Lyon Conference Centre). Rhone 3. Lyon Conference Centre.