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

Authors

8

  1. YH
    Ying-Feng Hsu

    The University of Osaka, Japan

    1 publications · 24 citations

    1

    h-index

  2. YH
    Yu-Ling Hsueh

    National Chung Cheng University, Taiwan

    1 publications · 15 citations

    1

    h-index

  3. CH
    Chih-Wen Hsueh

    National Taiwan University, Taiwan

    1 publications · 15 citations

    1

    h-index

  4. SM
    Shuuichirou Murata

    Software Research Associates (Japan), Japan

    1 publications · 24 citations

    1

    h-index

  5. IC
    I-Te Chou

    National Taiwan University, Taiwan

    1 publications · 15 citations

    1

    h-index

1–5 of 8

Venues

  1. IEEE Access

    1 publications · 10 citations

1–2