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MapReduce

Known as: Hadoop map, Map/reduce, Map Reduce 
MapReduce is a programming model and an associated implementation for processing and generating large data sets with a parallel, distributed… Expand
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Papers overview

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Highly Cited
2010
Highly Cited
2010
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, many… Expand
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Highly Cited
2010
Highly Cited
2010
MapReduce advantages over parallel databases include storage-system independence and fine-grain fault tolerance for large jobs. 
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Highly Cited
2010
Highly Cited
2010
MapReduce programming model has simplified the implementation of many data parallel applications. The simplicity of the… Expand
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Highly Cited
2009
Highly Cited
2009
Data clustering has been received considerable attention in many applications, such as data mining, document retrieval, image… Expand
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Highly Cited
2008
Highly Cited
2008
MapReduce is emerging as an important programming model for large-scale data-parallel applications such as web indexing, data… Expand
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Highly Cited
2008
Highly Cited
2008
MapReduce is a programming model and an associated implementation for processing and generating large datasets that is amenable… Expand
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Highly Cited
2008
Highly Cited
2008
  • R. Lämmel
  • Sci. Comput. Program.
  • 2008
  • Corpus ID: 14030356
Google's MapReduce programming model serves for processing large data sets in a massively parallel manner. We deliver the first… Expand
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Highly Cited
2008
Highly Cited
2008
We design and implement Mars, a MapReduce framework, on graphics processors (GPUs). MapReduce is a distributed programming… Expand
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Highly Cited
2007
Highly Cited
2007
This paper evaluates the suitability of the MapReduce model for multi-core and multi-processor systems. MapReduce was created by… Expand
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Highly Cited
2004
Highly Cited
2004
MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a… Expand
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