Policy-based Data Placement

Policy-Based Data Placement is a data management strategy that systematically assigns data to specific storage tiers according to predefined policies based on access frequency, performance requirements, cost constraints, or other metadata-driven criteria.

9

Publications

174

Citations

24

Authors

15

Institutions

Publications per year

2017–2026

3

Variants

Policy-driven Data Placement

Authors

24

  1. RS
    Robert Schuler

    University of Southern California, United States

    1 publications · 10 citations

    1

    h-index

  2. AC
    Abhishek Chandra

    University of Minnesota, United States

    1 publications · 19 citations

    1

    h-index

  3. JL
    J.C.L. Liu

    National Pingtung University of Science and Technology, Taiwan

    1 publications · 11 citations

    1

    h-index

  4. NM
    Neeraj Mittal

    The University of Texas at Dallas, United States

    1 publications · 12 citations

    1

    h-index

  5. JL
    Jianwei Liao

    Southwest University, China

    1 publications · 12 citations

    1

    h-index

1–5 of 24

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 19 citations

    1

    h-index

  2. Multimedia Systems

    1 publications · 20 citations

    1

    h-index

  3. Knowledge-Based Systems

    1 publications · 27 citations

    1

    h-index

  4. ACM SIGOPS Operating Systems Review

    1 publications · 12 citations

    1

    h-index

  5. IEEE Access

    1 publications · 12 citations

    1

    h-index

1–5