Predictive Placement

Predictive Placement is a workload placement strategy that belongs to the class of proactive resource allocation methods, distinguished by its use of historical data and machine learning models to forecast future workload demands and optimize the spatial distribution of services at the network edge.

24

Publications

817

Citations

80

Authors

33

Institutions

Publications per year

2017–2026

18

Authors

80

  1. ZZ
    Zhi Zhou

    Sun Yat-sen University, China

    2 publications · 91 citations

    2

    h-index

  2. XC
    Xu Chen

    Sun Yat-sen University, China

    2 publications · 91 citations

    2

    h-index

  3. HM
    Huirong Ma

    Sun Yat-sen University, China

    2 publications · 91 citations

    2

    h-index

  4. YC
    Yici Cai

    Tsinghua University, China

    1 publications · 57 citations

    1

    h-index

  5. NV
    Nalini Venkatasubramanian

    University of California, Irvine, United States

    1 publications · 77 citations

    1

    h-index

1–5 of 80

Venues

  1. 1

    h-index

  2. 1

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  3. Procedia Computer Science

    1 publications · 14 citations

    1

    h-index

  4. 1

    h-index

  5. Symmetry

    1 publications · 36 citations

    1

    h-index

1–5