Workload-aware Placement

Workload-Aware Placement is a data distribution strategy in geo-distributed databases that determines the optimal physical location of data and computation by dynamically analyzing and adapting to the spatial and temporal patterns of application workloads.

62

Publications

4K

Citations

244

Authors

107

Institutions

Publications per year

2017–2026

12

Authors

244

  1. PL
    Pangfeng Liu

    National Taiwan University, Taiwan

    3 publications · 110 citations

    3

    h-index

  2. LC
    Ludmila Cherkasova

    Hewlett-Packard (United States), United States

    3 publications · 464 citations

    3

    h-index

  3. RB
    Ricardo Bianchini

    Rutgers, The State University of New Jersey, United States

    2 publications · 105 citations

    2

    h-index

  4. AD
    Amol Deshpande

    University of Maryland, College Park, United States

    2 publications · 125 citations

    2

    h-index

  5. ML
    Mong Li Lee

    National University of Singapore, Singapore

    2 publications · 84 citations

    2

    h-index

1–5 of 244

Venues

  1. Future Generation Computer Systems

    FGCS · 4 publications · 247 citations

    4

    h-index

  2. Journal of Parallel and Distributed Computing

    2 publications · 87 citations

    2

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 77 citations

    2

    h-index

  4. Journal of Physics Conference Series

    2 publications · 33 citations

    2

    h-index

  5. Journal of Web Semantics

    1 publications · 15 citations

    1

    h-index

1–5