Crash Failure Models
Crash Failure Models is a theoretical framework in distributed computing that specifies the conditions and behaviors under which processes may cease functioning abruptly without prior notice, distinguishing it from other fault models by assuming that failed processes do not resume operation or send incorrect messages.
43
Publications
1.6K
Citations
105
Authors
57
Institutions
Publications per year
2017–2026
4
Parents
43
Windows XP kernel crash analysis
Archana Ganapathi, Viji Ganapathi, David A. Patterson · 2006 · 117 citations
Consensus in synchronous systems: a concise guided tour
Michel Raynal · 2003 · 82 citations
1–5 of 43
105
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h-index
Institut de Recherche en Informatique et Systèmes Aléatoires, France
4 publications · 150 citations
4
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2
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2
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2
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1–5 of 105
57
Texas A&M University
College Station, United States
6 h-index
9 publications
700 citations
Institut de Recherche en Informatique et Systèmes Aléatoires
Rennes, France
3 h-index
5 publications
140 citations
University of California, Berkeley
Berkeley, United States
3 h-index
6 publications
504 citations

Cornell University
Ithaca, United States
3 h-index
5 publications
74 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
2 publications
146 citations
Université de Rennes
Rennes, France
2 h-index
4 publications
112 citations
IBM (United States)
Armonk, United States
2 h-index
3 publications
108 citations
University of California San Diego
San Diego, United States
2 h-index
2 publications
33 citations
1–8 of 57
5 publications · 309 citations
5
h-index
1 publications · 14 citations
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IRFA · 1 publications · 47 citations
1
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1 publications · 24 citations
1
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1 publications · 20 citations
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1–5