Hot Data Classification
Hot Data Classification is a data management methodology that distinguishes data based on its access frequency and performance requirements, specifically identifying data that is frequently accessed or requires low-latency retrieval within a storage tiering system.
3
Publications
49
Citations
8
Authors
4
Institutions
Publications per year
2017–2026
3
Parents
3
A Novel Automated Cloud Storage Tiering System through Hot-Cold Data Classification
Ying-Feng Hsu, Ryo Irie, Shuuichirou Murata et al. · 2018 · 24 citations
I-Te Chou, Hung-Han Su, Yu-Ling Hsueh et al. · 2020 · 15 citations
Dynamic Hot Data Identification Using a Stack Distance Approximation
Hyeonji Ha, Daeun Shim, Hyeyin Lee et al. · IEEE Access · 2021 · 10 citations · Full text
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4
Software Research Associates (Japan)
Tokyo, Japan
1 h-index
1 publications
24 citations
The University of Osaka
Osaka, Japan
1 h-index
3 publications
72 citations

National Taiwan University
Taipei, Taiwan
1 h-index
1 publications
15 citations
National Chung Cheng University
Minxiong, Taiwan
1 h-index
3 publications
45 citations
Wuhan National Laboratory for Optoelectronics
Wuhan, China
1 publications
10 citations

Huazhong University of Science and Technology
Wuhan, China
1 publications
10 citations

Sookmyung Women's University
Seoul, South Korea
1 publications
10 citations
1–7 of 4
1 publications · 10 citations
1 publications · 10 citations
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