Real-time Data Placement

Real-Time Data Placement is a data management strategy within tiered storage systems that dynamically assigns data to storage tiers based on immediate access patterns, latency requirements, and policy-driven criteria to optimize performance and cost in real time.

8

Publications

305

Citations

26

Authors

12

Institutions

Publications per year

2017–2026

2

Authors

26

  1. EC
    E. Chang

    University of California, Berkeley, United States

    2 publications · 65 citations

    2

    h-index

  2. AZ
    Avideh Zakhor

    University of California, Berkeley, United States

    2 publications · 65 citations

    2

    h-index

  3. AA
    Abdilahi Ali

    University of Manchester, United Kingdom

    1 publications · 31 citations

    1

    h-index

  4. YY
    Yun Yang

    Swinburne University of Technology, Australia

    1 publications · 20 citations

    1

    h-index

  5. JT
    John Tullis

    Continental (United States), United States

    1 publications · 75 citations

    1

    h-index

1–5 of 26

Venues

  1. Communications of the ACM

    1 publications · 75 citations

    1

    h-index

  2. 1

    h-index

  3. Computers & Operations Research

    1 publications · 31 citations

    1

    h-index

  4. Journal of Parallel and Distributed Computing

    1 publications · 20 citations

    1

    h-index

  5. Big Data Research

    1 publications · 73 citations

    1

    h-index

1–5