Parallel Database Fault Tolerance is a systematic mechanism within distributed database systems that ensures continuous operation and data consistency in the face of node, disk, or network failures by replicating data and computations across multiple parallel processing units.
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Sanjay Ghemawat · Communications of the ACM · 2008 · 18.5K citations · Full text
Sanjay Ghemawat · Communications of the ACM · 2009 · 1.2K citations
Cost-based Fault-tolerance for Parallel Data Processing
Abdallah Salama, Carsten Binnig, Tim Kraska et al. · 2015 · 22 citations
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IBM Research - Thomas J. Watson Research Center, United States
1 publications · 250 citations
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Google (United States)
Mountain View, United States
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Utah State University
Logan, United States
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2 publications
26 citations
University of Wisconsin–Madison
Madison, United States
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2 publications
500 citations
Brown University
Providence, United States
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2 publications
44 citations
Baden-Wuerttemberg Cooperative State University
Stuttgart, Germany
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44 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
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155 citations
East China Normal University
Shanghai, China
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14 citations
Renmin University of China
Beijing, China
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56 citations
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- Communications of the ACM
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1 publications · 13 citations
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1 publications · 14 citations
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