Load-aware Scheduling

Load-Aware Scheduling is a resource scheduling method that dynamically allocates computational resources by continuously monitoring and responding to the current workload demands and system load conditions to optimize performance and efficiency.

217

Publications

10.2K

Citations

615

Authors

281

Institutions

Publications per year

2017–2026

56

Authors

615

  1. TG
    Thomas G. Robertazzi

    Stony Brook University, United States

    11 publications · 367 citations

    11

    h-index

  2. BV
    Bharadwaj Veeravalli

    National University of Singapore, Singapore

    6 publications · 231 citations

    6

    h-index

  3. MD
    Maciej Drozdowski

    Poznań University of Technology, Poland

    5 publications · 143 citations

    5

    h-index

  4. HC
    Henri Casanova

    University of Hawaiʻi at Mānoa, United States

    4 publications · 196 citations

    4

    h-index

  5. MA
    Muhammad Arshad Islam

    Capital University of Science and Technology, Pakistan

    3 publications · 83 citations

    3

    h-index

1–5 of 615

Venues

  1. Cluster Computing

    6 publications · 305 citations

    6

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 5 publications · 314 citations

    5

    h-index

  3. IEEE Transactions on Smart Grid

    4 publications · 735 citations

    4

    h-index

  4. The Journal of Supercomputing

    4 publications · 117 citations

    4

    h-index

  5. IEEE Systems Journal

    ISJ · 4 publications · 208 citations

    4

    h-index

1–5