Resource-aware Scheduling

Resource-Aware Scheduling is a workflow orchestration strategy that belongs to the class of scheduling methods and is differentiated by its explicit consideration of computational resource availability, constraints, and utilization efficiency when determining the execution order and placement of tasks.

518

Publications

26.9K

Citations

1.5K

Authors

573

Institutions

Publications per year

2017–2026

229

Authors

1.5K

  1. RB
    Rajkumar Buyya

    The University of Melbourne, Australia

    16 publications · 2.1K citations

    15

    h-index

  2. AY
    Albert Y. Zomaya

    The University of Sydney, Australia

    8 publications · 367 citations

    8

    h-index

  3. YC
    Young Choon Lee

    The University of Sydney, Australia

    7 publications · 230 citations

    7

    h-index

  4. XL
    Xiaoping Li

    Southeast University, China

    7 publications · 293 citations

    7

    h-index

  5. IS
    Ion Stoica

    University of California, Berkeley, United States

    6 publications · 1.6K citations

    6

    h-index

1–5 of 1.5K

Venues

  1. Future Generation Computer Systems

    FGCS · 36 publications · 2.6K citations

    27

    h-index

  2. The Journal of Supercomputing

    26 publications · 895 citations

    17

    h-index

  3. Cluster Computing

    17 publications · 778 citations

    15

    h-index

  4. IEEE Access

    16 publications · 821 citations

    14

    h-index

  5. 9

    h-index

1–5