Backup Performance Optimization
Backup Performance Optimization is a methodological framework within data management research that systematically enhances the efficiency, speed, and reliability of data backup operations in cloud and networked environments by minimizing resource consumption, latency, and data transfer overhead while ensuring data integrity and recovery guarantees.
22
Publications
902
Citations
77
Authors
39
Institutions
Publications per year
2017–2026
7
22
Landon P. Cox, Christopher D. Murray, Brian Noble · ACM SIGOPS Operating Systems Review · 2002 · 336 citations
Design tradeoffs for data deduplication performance in backup workloads
Min Fu, Dan Feng, Yu Hua et al. · File and Storage Technologies · 2015 · 105 citations
Landon P. Cox, Christopher D. Murray, Brian Noble · 2002 · 94 citations
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39
Shandong University of Science and Technology
Qingdao, China
3 h-index
6 publications
118 citations
University of Michigan
Ann Arbor, United States
2 h-index
6 publications
1.3K citations

Peking University
Beijing, China
2 h-index
2 publications
36 citations
Shandong University
Jinan, China
2 h-index
2 publications
37 citations

City University of Hong Kong
Hong Kong, Hong Kong
2 h-index
2 publications
43 citations

Beijing Normal University
Beijing, China
1 h-index
1 publications
12 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
3 publications
45 citations
Tsinghua University
Beijing, China
1 h-index
5 publications
120 citations
1–8 of 39
1 publications · 19 citations
1
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1 publications · 19 citations
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1 publications · 20 citations
1
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1 publications · 12 citations
1
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FGCS · 1 publications · 17 citations
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