Concepedia

Data Temperature Profiling

Data Temperature Profiling is a data management analytical method that characterizes data objects based on their access frequency, recency, and patterns to determine their relative activity levels for effective placement within a storage tiering hierarchy.

1

Publications

15

Citations

6

Authors

2

Institutions

Publications per year

2017–2026

1

Parents

Publications

1

1–2 of 1

Authors

6

  1. YT
    Yujuan Tan

    Chongqing University, China

    1 publications · 15 citations

    1

    h-index

  2. QD
    Qiuwei Deng

    The University of Texas at Arlington, United States

    1 publications · 15 citations

    1

    h-index

  3. DL
    Duo Liu

    Chongqing University, China

    1 publications · 15 citations

    1

    h-index

  4. ZY
    Zhichao Yan

    University of Nebraska–Lincoln, United States

    1 publications · 15 citations

    1

    h-index

  5. XC
    Xianzhang Chen

    Chongqing University, China

    1 publications · 15 citations

    1

    h-index

1–5 of 6

Institutions

2

  1. Chongqing University

    Chongqing, China

    1 h-index

    5 publications

    75 citations

  2. The University of Texas at Arlington

    Arlington, United States

    1 h-index

    1 publications

    15 citations

  3. University of Nebraska–Lincoln

    Lincoln, United States

    1 publications

    10 citations

  4. Hewlett Packard Enterprise (United States)

    Palo Alto, United States

    1 publications

    10 citations

1–4 of 2

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 10 citations

1–1