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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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Related topics

Related topics

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Amazon Elastic Compute Cloud (EC2)Apache GoraApache HadoopApache Mahout

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Elements of the formal model big date
The article proposes and describes the elements of the generalized formal model of big data. It is analyzed the peculiarities of… 
2014
2014
Use of Big Data technology in Vehicular Ad-hoc Networks
Big Data technology is becoming ubiquitous and depicting key attention of researchers in almost all areas. VANET is a special… 
2013
2013
Big data analysis using Apache Hadoop
The paradigm of processing huge datasets has been shifted from centralized architecture to distributed architecture. As the… 
2013
2013
LLSuperCloud: Sharing HPC systems for diverse rapid prototyping
The supercomputing and enterprise computing arenas come from very different lineages. However, the advent of commodity computing… 
2012
2012
Market Basket Analysis Algorithm with Map/Reduce of Cloud Computing
Map/Reduce approach has been popular in order to compute huge volumes of data since Google implemented its platform on Google… 
2012
2012
reMORPH: A Runtime Reconfigurable Architecture
Programmable hardware built on a regular architecture can partially alleviate the problem of increased defect densities… 
2012
2012
Parallelization of genetic algorithms using Hadoop Map/Reduce
In this paper we present parallel implementation of genetic algorithm using map/reduce programming paradigm. Hadoop… 
Highly Cited
2010
Highly Cited
2010
YETI on the Cloud
The York Extensible Testing Infrastructure (YETI) is an automated random testing tool that allows to test programs written in… 
2009
2009
Mining Document Collections to Facilitate Accurate Approximate Entity Matching
Many entity extraction techniques leverage large reference entity tables to identify entities in documents. Often, an entity is… 
2009
2009
Applying Map-Reduce Paradigm for Parallel Closed Cube Computation
After many years of studies, efficient data cube computation remains an open field of research due to ever-growing amounts of… 
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