Adaptive Scheduling

Adaptive Scheduling is a scheduling paradigm within parallel and distributed computing systems that dynamically adjusts task execution timelines and resource allocations in response to runtime variations in workload, system conditions, or quality-of-service requirements to optimize performance, predictability, or energy efficiency.

732

Publications

29.1K

Citations

2.2K

Authors

720

Institutions

Publications per year

2017–2026

178

Authors

2.2K

  1. LA
    Luca Abeni

    Scuola Superiore Sant'Anna, Italy

    9 publications · 900 citations

    9

    h-index

  2. KL
    Kenli Li

    Hunan University, China

    6 publications · 316 citations

    6

    h-index

  3. KL
    Keqin Li

    SUNY New Paltz, United States

    6 publications · 343 citations

    6

    h-index

  4. CE
    Charles E. Leiserson

    Massachusetts Institute of Technology, United States

    6 publications · 252 citations

    6

    h-index

  5. GL
    Giuseppe Lipari

    Scuola Superiore Sant'Anna, Italy

    6 publications · 766 citations

    6

    h-index

1–5 of 2.2K

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 22 publications · 2.2K citations

    21

    h-index

  2. IEEE Access

    13 publications · 460 citations

    13

    h-index

  3. International Journal of Production Research

    12 publications · 354 citations

    12

    h-index

  4. IEEE Transactions on Wireless Communications

    12 publications · 726 citations

    11

    h-index

  5. Future Generation Computer Systems

    FGCS · 9 publications · 548 citations

    9

    h-index

1–5