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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… 
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Papers overview

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Highly Cited
2015
Highly Cited
2015
This paper describes SpatialHadoop; a full-fledged MapReduce framework with native support for spatial data. SpatialHadoop is a… 
Review
2012
Review
2012
A prominent parallel data processing tool MapReduce is gaining significant momentum from both industry and academia as the volume… 
Highly Cited
2010
Highly Cited
2010
MapReduce advantages over parallel databases include storage-system independence and fine-grain fault tolerance for large jobs. 
Highly Cited
2010
Highly Cited
2010
MapReduce programming model has simplified the implementation of many data parallel applications. The simplicity of the… 
Highly Cited
2010
Highly Cited
2010
In recent years the MapReduce framework has emerged as one of the most widely used parallel computing platforms for processing… 
Highly Cited
2010
Highly Cited
2010
In this paper we study how to efficiently perform set-similarity joins in parallel using the popular MapReduce framework. We… 
Highly Cited
2009
Highly Cited
2009
Data clustering has been received considerable attention in many applications, such as data mining, document retrieval, image… 
Highly Cited
2008
Highly Cited
2008
MapReduce is a programming model and an associated implementation for processing and generating large datasets that is amenable… 
Highly Cited
2008
Highly Cited
2008
We design and implement Mars, a MapReduce framework, on graphics processors (GPUs). MapReduce is a distributed programming… 
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…