Duplicate Chunk Detection is a computational method within data deduplication that identifies redundant data segments by determining whether a given chunk of data has an identical counterpart in a reference dataset, thereby enabling storage optimization through elimination of duplicate copies.
35
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1.6K
Citations
107
Authors
56
Institutions
Publications per year
2017–2026
15
Parents
Publications
35
1–5 of 35
Authors
107
- WX
5
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4
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4
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4
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4
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1–5 of 107
Institutions
56
Huazhong University of Science and Technology
Wuhan, China
6 h-index
14 publications
962 citations
Wuhan National Laboratory for Optoelectronics
Wuhan, China
4 h-index
13 publications
959 citations
Johannes Gutenberg University Mainz
Mainz, Germany
3 h-index
9 publications
645 citations
University of Minnesota
Minneapolis, United States
3 h-index
8 publications
354 citations
University of Nebraska–Lincoln
Lincoln, United States
3 h-index
4 publications
240 citations
Twin Cities Orthopedics
Edina, United States
2 h-index
4 publications
258 citations
Barcelona Supercomputing Center
Barcelona, Spain
2 h-index
2 publications
184 citations
South China University of Technology
Guangzhou, China
2 h-index
5 publications
57 citations
1–8 of 56
Venues
- Future Generation Computer Systems
FGCS · 2 publications · 104 citations
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- Artificial Intelligence in Medicine
AIM · 1 publications · 49 citations
1
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- File and Storage Technologies
Conference · 1 publications · 24 citations
1
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- ACM Transactions on Storage
TOS · 1 publications · 53 citations
1
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- IEEE Access
1 publications · 11 citations
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