Data Resilience is a fault tolerance mechanism that ensures the integrity, availability, and consistency of data in parallel systems by enabling recovery from failures, corruption, or loss during computation and communication processes.
12
Publications
235
Citations
47
Authors
21
Institutions
Publications per year
2017–2026
6
Publications
12
1–5 of 12
Authors
47
- RD
2
h-index
- DD
1
h-index
- SM
1
h-index
- BL
1
h-index
- XL
1
h-index
1–5 of 47
Institutions
21
University of California System
Oakland, United States
1 h-index
3 publications
51 citations
Missouri University of Science and Technology
Rolla, United States
1 h-index
1 publications
17 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
1 h-index
4 publications
48 citations
Argonne National Laboratory
Lemont, United States
1 h-index
2 publications
34 citations
Sapienza University of Rome
Rome, Italy
1 h-index
1 publications
32 citations
IBM Research - Haifa
Haifa, Israel
1 h-index
5 publications
65 citations
Gdańsk University of Technology
Gdansk, Poland
1 h-index
1 publications
20 citations
University of Science and Technology Beijing
Beijing, China
1 h-index
2 publications
40 citations
1–8 of 21
Venues
- The Computer Journal
1 publications · 14 citations
1
h-index
- ACM Journal on Emerging Technologies in Computing Systems
JETC · 1 publications · 12 citations
1
h-index
- International Journal of Information Technology and Computer Science
1 publications · 20 citations
1
h-index
- Telecommunication Systems
1 publications · 32 citations
1
h-index
- Blockchain Frontier Technology
BFRONT · 1 publications · 11 citations
1–5