Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Related topics

Related topics

50 relations
Amazon Elastic Compute Cloud (EC2)Apache GoraApache HadoopApache Mahout

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
Twister: a runtime for iterative MapReduce
  • Jaliya EkanayakeHui Li G. Fox
  • IEEE International Symposium on High-Performance…
  • 2010
  • Corpus ID: 1449272
MapReduce programming model has simplified the implementation of many data parallel applications. The simplicity of the… 
Highly Cited
2010
Highly Cited
2010
MapReduce Online
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, many… 
Highly Cited
2010
Highly Cited
2010
MapReduce: a flexible data processing tool
MapReduce advantages over parallel databases include storage-system independence and fine-grain fault tolerance for large jobs. 
Highly Cited
2010
Highly Cited
2010
A model of computation for MapReduce
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
Airavat: Security and Privacy for MapReduce
We present Airavat, a MapReduce-based system which provides strong security and privacy guarantees for distributed computations… 
Highly Cited
2009
Highly Cited
2009
Parallel K-Means Clustering Based on MapReduce
Data clustering has been received considerable attention in many applications, such as data mining, document retrieval, image… 
Highly Cited
2008
Highly Cited
2008
Improving MapReduce Performance in Heterogeneous Environments
MapReduce is emerging as an important programming model for large-scale data-parallel applications such as web indexing, data… 
Highly Cited
2008
Highly Cited
2008
Mars: A MapReduce Framework on graphics processors
We design and implement Mars, a MapReduce framework, on graphics processors (GPUs). MapReduce is a distributed programming… 
Highly Cited
2007
Highly Cited
2007
Evaluating MapReduce for Multi-core and Multiprocessor Systems
This paper evaluates the suitability of the MapReduce model for multi-core and multi-processor systems. MapReduce was created by… 
Highly Cited
2004
Highly Cited
2004
MapReduce: simplified data processing on large clusters
MapReduce is a programming model and an associated implementation for processing and generating large datasets that is amenable… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)