Fault Injection Evaluation
Fault Injection Evaluation is a systematic assessment methodology within load balancing under failures that involves the deliberate introduction of faults into a system to evaluate the resilience, recovery, and performance characteristics of load balancing mechanisms under adverse conditions.
79
Publications
2.9K
Citations
247
Authors
98
Institutions
Publications per year
2017–2026
18
79
GPU-Qin: A methodology for evaluating the error resilience of GPGPU applications
Bo Fang, Karthik Pattabiraman, Matei Ripeanu et al. · 2014 · 144 citations
LLFI: An Intermediate Code-Level Fault Injection Tool for Hardware Faults
Qining Lu, Mostafa Farahani, Jiesheng Wei et al. · 2015 · 100 citations
1–5 of 79
247
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h-index
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7
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University of Illinois Urbana-Champaign, United States
4 publications · 106 citations
4
h-index
1–5 of 247
98
Politecnico di Torino
Turin, Italy
11 h-index
36 publications
1.4K citations

University of British Columbia
Vancouver, Canada
9 h-index
23 publications
1.8K citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
16 publications
602 citations
Chalmers University of Technology
Gothenburg, Sweden
5 h-index
8 publications
314 citations

Universidad Carlos III de Madrid
Madrid, Spain
4 h-index
8 publications
320 citations

University of Bristol
Bristol, United Kingdom
3 h-index
6 publications
350 citations
The University of Texas at Austin
Austin, United States
3 h-index
5 publications
357 citations
Universidade Federal do Rio Grande do Sul
Porto Alegre, Brazil
3 h-index
8 publications
138 citations
1–8 of 98
TPDS · 3 publications · 55 citations
3
h-index
2 publications · 98 citations
2
h-index
TDSC · 2 publications · 65 citations
2
h-index
2 publications · 157 citations
2
h-index
2 publications · 154 citations
2
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1–5