Cost-aware Scheduling

Cost-Aware Scheduling is a scheduling framework within cloud resource utilization economics that, as a member of the workload and container scheduling paradigms, specifically incorporates economic cost metrics—such as infrastructure usage fees, data transfer expenses, and opportunity costs—into the decision-making process to minimize total operational expenditure while meeting performance and quality-of-service constraints.

335

Publications

17.7K

Citations

935

Authors

447

Institutions

Publications per year

2017–2026

152

Authors

935

  1. RB
    Rajkumar Buyya

    The University of Melbourne, Australia

    12 publications · 1.9K citations

    11

    h-index

  2. MZ
    MengChu Zhou

    New Jersey Institute of Technology, United States

    6 publications · 783 citations

    6

    h-index

  3. AL
    Abdullah Lakhan

    University of Anbar, Iraq

    6 publications · 376 citations

    6

    h-index

  4. VA
    Vahid Arabnejad

    Victoria University of Wellington, New Zealand

    5 publications · 266 citations

    5

    h-index

  5. LC
    Long Cheng

    North China Electric Power University, China

    5 publications · 266 citations

    5

    h-index

1–5 of 935

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 13 publications · 955 citations

    13

    h-index

  2. Future Generation Computer Systems

    FGCS · 11 publications · 976 citations

    11

    h-index

  3. Cluster Computing

    9 publications · 343 citations

    9

    h-index

  4. The Journal of Supercomputing

    9 publications · 331 citations

    9

    h-index

  5. 6

    h-index

1–5