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MapReduce
Known as:
Hadoop map
, Map/reduce
, Map Reduce
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MapReduce is a programming model and an associated implementation for processing and generating large data sets with a parallel, distributed…
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50 relations
Amazon Elastic Compute Cloud (EC2)
Apache Gora
Apache Hadoop
Apache Mahout
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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 Ekanayake
,
Hui Li
,
+4 authors
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…
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Highly Cited
2010
Highly Cited
2010
MapReduce Online
Tyson Condie
,
Neil Conway
,
P. Alvaro
,
J. Hellerstein
,
Khaled Elmeleegy
,
R. Sears
Symposium on Networked Systems Design and…
2010
Corpus ID: 1142223
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, many…
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Highly Cited
2010
Highly Cited
2010
MapReduce: a flexible data processing tool
J. Dean
,
S. Ghemawat
CACM
2010
Corpus ID: 2935334
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
H. Karloff
,
Siddharth Suri
,
Sergei Vassilvitskii
ACM-SIAM Symposium on Discrete Algorithms
2010
Corpus ID: 2130374
In recent years the MapReduce framework has emerged as one of the most widely used parallel computing platforms for processing…
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Highly Cited
2010
Highly Cited
2010
Airavat: Security and Privacy for MapReduce
Indrajit Roy
,
Srinath T. V. Setty
,
Ann Kilzer
,
Vitaly Shmatikov
,
E. Witchel
Symposium on Networked Systems Design and…
2010
Corpus ID: 1742888
We present Airavat, a MapReduce-based system which provides strong security and privacy guarantees for distributed computations…
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Highly Cited
2009
Highly Cited
2009
Parallel K-Means Clustering Based on MapReduce
Weizhong Zhao
,
Huifang Ma
,
Qing He
International Conference on Cloud Computing
2009
Corpus ID: 18462610
Data clustering has been received considerable attention in many applications, such as data mining, document retrieval, image…
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Highly Cited
2008
Highly Cited
2008
Improving MapReduce Performance in Heterogeneous Environments
M. Zaharia
,
A. Konwinski
,
A. Joseph
,
R. Katz
,
I. Stoica
USENIX Symposium on Operating Systems Design and…
2008
Corpus ID: 9315803
MapReduce is emerging as an important programming model for large-scale data-parallel applications such as web indexing, data…
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Highly Cited
2008
Highly Cited
2008
Mars: A MapReduce Framework on graphics processors
Bingsheng He
,
Wenbin Fang
,
Qiong Luo
,
N. Govindaraju
,
Tuyong Wang
International Conference on Parallel…
2008
Corpus ID: 207169888
We design and implement Mars, a MapReduce framework, on graphics processors (GPUs). MapReduce is a distributed programming…
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Highly Cited
2007
Highly Cited
2007
Evaluating MapReduce for Multi-core and Multiprocessor Systems
Colby Ranger
,
R. Raghuraman
,
Arun Penmetsa
,
G. Bradski
,
C. Kozyrakis
IEEE 13th International Symposium on High…
2007
Corpus ID: 12563671
This paper evaluates the suitability of the MapReduce model for multi-core and multi-processor systems. MapReduce was created by…
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Highly Cited
2004
Highly Cited
2004
MapReduce: simplified data processing on large clusters
Muthu Dayalan
CACM
2004
Corpus ID: 67055872
MapReduce is a programming model and an associated implementation for processing and generating large datasets that is amenable…
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