Data Scrubbing is a proactive data maintenance technique in solid-state storage systems that systematically reads stored data, detects and corrects latent errors through error-correcting codes, and restores data integrity by rewriting corrected values to prevent data degradation and enhance storage reliability.
20
Publications
1.9K
Citations
58
Authors
31
Institutions
Publications per year
2017–2026
4
Variants
Memory Scrubbing
Publications
20
Won Bae Kim, Byoungju Choi, Eui-Kyeong Hong et al. · Data Mining and Knowledge Discovery · 2003 · 300 citations
Disk scrubbing in large archival storage systems
T.J.E. Schwarz, Qin Xin, Ethan L. Miller et al. · 2004 · 130 citations
1–5 of 20
Authors
58
- DD
3
h-index
- AA
2
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- PM
2
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- TS
2
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- BS
2
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1–5 of 58
Institutions
31
University of California, Santa Cruz
Santa Cruz, United States
3 h-index
8 publications
681 citations
Santa Clara University
Santa Clara, United States
3 h-index
6 publications
541 citations
University of Seoul
Seoul, South Korea
2 h-index
2 publications
44 citations
Centre National de la Recherche Scientifique
Paris, France
2 h-index
6 publications
303 citations
University of Houston
Houston, United States
2 h-index
4 publications
43 citations
Institut Pasteur
Paris, France
2 h-index
2 publications
101 citations
University of Toronto
Toronto, Canada
2 h-index
5 publications
445 citations
École Centrale de Lille
Villeneuve-d'Ascq, France
2 h-index
4 publications
202 citations
1–8 of 31
Venues
- International Journal of Computer Applications
1 publications · 12 citations
1
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- Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)
Repository · 1 publications · 25 citations
1
h-index
- Archives of Pathology & Laboratory Medicine
1 publications · 84 citations
1
h-index
- ACM Transactions on Storage
TOS · 1 publications · 135 citations
1
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- UvA-DARE (University of Amsterdam)
Repository · 1 publications · 74 citations
1
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1–5