Data Redundancy Management
Data Redundancy Management is a data management strategy that systematically identifies, controls, and minimizes duplicate or overlapping data entries within a dataset to enhance data integrity, storage efficiency, and processing accuracy.
192
Publications
7.1K
Citations
692
Authors
303
Institutions
Publications per year
2017–2026
77
Parents
192
Characteristics of backup workloads in production systems
Grant Wallace, Fred Douglis, Hangwei Qian et al. · 2012 · 197 citations
1–5 of 192
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303

Central South University
Changsha, China
5 h-index
13 publications
1.1K citations
Wuhan University
Wuhan, China
5 h-index
13 publications
591 citations
University of Babylon
Hillah, Iraq
4 h-index
5 publications
148 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
5 publications
99 citations

Northwestern Polytechnical University
Xi'an, China
3 h-index
9 publications
372 citations
Nanjing University of Posts and Telecommunications
Nanjing, China
3 h-index
14 publications
230 citations
Lebanese University
Beirut, Lebanon
3 h-index
5 publications
148 citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
3 h-index
8 publications
445 citations
1–8 of 303
4 publications · 217 citations
4
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3 publications · 127 citations
3
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JPR · 3 publications · 249 citations
3
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4 publications · 218 citations
3
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TPDS · 2 publications · 62 citations
2
h-index
1–5