Fault-tolerant Mapreduce
Fault-Tolerant MapReduce is a distributed data processing framework that extends the MapReduce paradigm by incorporating mechanisms for error detection, task replication, and automated recovery to ensure reliable execution in the presence of node failures or system faults.
121
Publications
26.6K
Citations
405
Authors
149
Institutions
Publications per year
2017–2026
11
121
Sanjay Ghemawat · Communications of the ACM · 2008 · 18.5K citations · Full text
Sanjay Ghemawat · Communications of the ACM · 2009 · 1.2K citations
Data-intensive text processing with MapReduce
Jimmy Lin, Chris Dyer · 2009 · 451 citations
Edouard Bugnion, Scott Devine, Kinshuk Govil et al. · ACM Transactions on Computer Systems · 1997 · 423 citations · Full text
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149
Stanford University
Stanford, United States
6 h-index
16 publications
2.7K citations
University of California, Berkeley
Berkeley, United States
5 h-index
27 publications
4.4K citations
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
Lisbon, Portugal
5 h-index
10 publications
171 citations
University of Lisbon
Lisbon, Portugal
4 h-index
14 publications
325 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
4 h-index
8 publications
179 citations
Berkeley College
New York, United States
4 h-index
18 publications
3.1K citations
Binghamton University
Binghamton, United States
3 h-index
8 publications
390 citations

Illinois Institute of Technology
Chicago, United States
3 h-index
9 publications
175 citations
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PVLDB · 3 publications · 192 citations
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3 publications · 187 citations
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2 publications · 19.7K citations
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TOG · 2 publications · 198 citations
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JISA · 2 publications · 30 citations
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