Backup Optimization
Backup Optimization is a methodological framework within data backup systems that enhances efficiency and effectiveness by minimizing resource consumption, reducing backup duration, and improving data recovery speed through intelligent data deduplication, compression, and scheduling strategies.
29
Publications
1.1K
Citations
96
Authors
56
Institutions
Publications per year
2017–2026
13
Parents
29
Design tradeoffs for data deduplication performance in backup workloads
Min Fu, Dan Feng, Yu Hua et al. · File and Storage Technologies · 2015 · 105 citations
SAM: A Semantic-Aware Multi-tiered Source De-duplication Framework for Cloud Backup
Yujuan Tan, Hong Jiang, Dan Feng et al. · 2010 · 80 citations
RABA: Resource-Aware Backup Allocation For A Chain of Virtual Network Functions
Jiao Zhang, Zenan Wang, Chunyi Peng et al. · 2019 · 73 citations
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56

City University of Hong Kong
Hong Kong, Hong Kong
4 h-index
4 publications
67 citations
Shandong University of Science and Technology
Qingdao, China
3 h-index
9 publications
140 citations

Israel Electric (Israel)
Haifa, Israel
3 h-index
3 publications
73 citations

Kyoto University
Kyoto, Japan
3 h-index
9 publications
270 citations

University of Electronic Science and Technology of China
Chengdu, China
3 h-index
4 publications
94 citations

Huazhong University of Science and Technology
Wuhan, China
2 h-index
10 publications
925 citations
University of Science and Technology of China
Hefei, China
2 h-index
6 publications
159 citations
Shandong University
Jinan, China
2 h-index
2 publications
33 citations
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2 publications · 40 citations
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2 publications · 59 citations
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2 publications · 112 citations
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JOCN · 1 publications · 19 citations
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1 publications · 23 citations
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