We show the possibility through MARIANE of the MapReduce model's applicability to a wider array of HPC environments with different high performance file systems ...
MapReduce is increasingly becoming a popular programming model. However, the widely used implementation, Apache Hadoop, uses the Hadoop Distributed File ...
MARIANE: Using MapReduce in HPC environments | Request PDF
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By leveraging inherent distributed file systems' functions, and abstracting them away from its MapReduce framework, MARIANE (MApReduce Implementation Adapted ...
This paper shows the applicability and high performance of the MapReduce paradigm through MARIANE, an implementation designed for clustered and shared-disk file ...
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MapReduce is increasingly becoming a popular programming model. However, the widely used implementation, Apache Hadoop, uses the Hadoop Distributed File ...
This paper shows the applicability and high performance of the MapReduce paradigm through MARIANE, an implementation designed for clustered and shared-disk file ...
Abstract. MapReduce is increasingly becoming a popular framework, and a potent programming model. The most popular open source implementation of MapReduce, ...
This paper not only presents a MapReduce implementation directly suitable for HPC environments, but also exposes the design choices for better performance gains ...
Abstract—MapReduce is increasingly becoming a popular framework, and a potent programming model. The most popular open source implementation of MapReduce, ...
Feb 14, 2014 · MARIANE follows the same basic tenets for any MapReduce-like implementation: (1) fault tolerance, (2) high-throughput, and (3) data management.