Energy-aware Placement

Energy-Aware Placement is a workload placement strategy that specifically incorporates energy consumption metrics into the decision-making process to minimize power usage while maintaining service-level requirements.

110

Publications

5.3K

Citations

336

Authors

164

Institutions

Publications per year

2017–2026

59

Authors

336

  1. YT
    Yu‐Chu Tian

    Queensland University of Technology, Australia

    4 publications · 199 citations

    4

    h-index

  2. MT
    Maolin Tang

    Queensland University of Technology, Australia

    3 publications · 160 citations

    3

    h-index

  3. WZ
    Weizhe Zhang

    Harbin Institute of Technology, China

    3 publications · 176 citations

    3

    h-index

  4. MB
    Milind Bhandarkar

    University of Illinois Urbana-Champaign, United States

    2 publications · 242 citations

    2

    h-index

  5. JP
    Jean‐Marc Pierson

    Université Toulouse III - Paul Sabatier, France

    2 publications · 37 citations

    2

    h-index

1–5 of 336

Venues

  1. The Journal of Supercomputing

    6 publications · 119 citations

    6

    h-index

  2. Cluster Computing

    5 publications · 164 citations

    6

    h-index

  3. 4

    h-index

  4. Electric Power Systems Research

    3 publications · 318 citations

    3

    h-index

  5. IEEE Communications Letters

    3 publications · 126 citations

    3

    h-index

1–5