Hot Data Identification is a data management technique that distinguishes frequently or recently accessed data within a storage system by analyzing access patterns, temporal behavior, and usage intensity to determine its eligibility for placement in high-performance storage tiers.
23
Publications
964
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85
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32
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Publications per year
2017–2026
6
Parents
Publications
23
Identifying hot and cold data in main-memory databases
Justin J. Levandoski, P-A Larson, Radu Stoica · 2013 · 134 citations · Full text
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85
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1–5 of 85
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32
University of Minnesota
Minneapolis, United States
3 h-index
10 publications
496 citations
Hanyang University
Seoul, South Korea
3 h-index
9 publications
285 citations
Samsung (South Korea)
Seoul, South Korea
2 h-index
2 publications
60 citations
Hefei University of Technology
Hefei, China
2 h-index
3 publications
43 citations
University of Hertfordshire
Hatfield, United Kingdom
2 h-index
2 publications
28 citations
University of Science and Technology of China
Hefei, China
2 h-index
6 publications
165 citations
Twin Cities Orthopedics
Edina, United States
2 h-index
8 publications
208 citations
National Taiwan University
Taipei, Taiwan
2 h-index
5 publications
552 citations
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- IEEE Transactions on Consumer Electronics
3 publications · 96 citations
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- File and Storage Technologies
Conference · 1 publications · 35 citations
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- Performance Evaluation
1 publications · 49 citations
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- 2017 IEEE Region 10 Symposium (TENSYMP)
1 publications · 10 citations
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- IEEE Access
1 publications · 13 citations
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