Workload Placement Optimization

Workload Placement Optimization is a computational framework within cloud resource management that determines the optimal allocation of workloads across physical or virtual computing resources to minimize operational costs, energy consumption, and latency while satisfying performance and quality-of-service constraints.

78

Publications

5.6K

Citations

293

Authors

165

Institutions

Publications per year

2017–2026

35

Authors

293

  1. CB
    Cullen Bash

    Hewlett-Packard (United States), United States

    2 publications · 200 citations

    2

    h-index

  2. KA
    K. Ashwin Kumar

    University of Maryland, College Park, United States

    2 publications · 125 citations

    2

    h-index

  3. TN
    Thinh Nguyen

    Oregon State University, United States

    2 publications · 29 citations

    2

    h-index

  4. BS
    Brendan Stephen

    Worcester Polytechnic Institute, United States

    2 publications · 29 citations

    2

    h-index

  5. DC
    Dazhao Cheng

    University of North Carolina at Charlotte, United States

    2 publications · 69 citations

    2

    h-index

1–5 of 293

Venues

  1. Cluster Computing

    4 publications · 161 citations

    4

    h-index

  2. Future Generation Computer Systems

    FGCS · 3 publications · 351 citations

    3

    h-index

  3. The Journal of Supercomputing

    3 publications · 153 citations

    3

    h-index

  4. Sustainable Computing Informatics and Systems

    2 publications · 102 citations

    2

    h-index

  5. Computer Networks

    2 publications · 30 citations

    2

    h-index

1–5