Redundancy Management
Redundancy Management is a fault-tolerance strategy that comprises the algorithms, policies, and control mechanisms responsible for allocating, monitoring, and reconfiguring redundant resources in a system so as to detect, mask, and recover from faults while preserving required dependability and performance.
1.6K
Publications
77.1K
Citations
3.1K
Authors
1.1K
Institutions
Publications per year
2017–2026
253
1.6K
1–5 of 1.6K
3.1K
17
h-index
Rutgers, The State University of New Jersey, United States
16 publications · 1.7K citations
15
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13
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12
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12
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1–5 of 3.1K
1.1K

Centre National de la Recherche Scientifique
Paris, France
22 h-index
86 publications
3.9K citations
National Tsing Hua University
Hsinchu, Taiwan
20 h-index
41 publications
3.6K citations
Carnegie Mellon University
Pittsburgh, United States
19 h-index
51 publications
2.8K citations
Stanford University
Stanford, United States
17 h-index
36 publications
2.1K citations
Purdue University West Lafayette
West Lafayette, United States
17 h-index
46 publications
3.3K citations
University of Illinois Urbana-Champaign
Urbana, United States
16 h-index
35 publications
2.8K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
16 h-index
24 publications
2K citations

University of Massachusetts Amherst
Amherst Center, United States
15 h-index
29 publications
1.1K citations
1–8 of 1.1K
104 publications · 6.2K citations
49
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117 publications · 6.3K citations
42
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70 publications · 3.2K citations
32
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47 publications · 962 citations
18
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16 publications · 784 citations
15
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