Federated Scheduling

Federated Scheduling is a real-time scheduling paradigm that allocates dedicated processing resources to each task or task group in a multiprocessor system, distinguishing itself by enabling independent schedulability analysis for each task while isolating resource contention in the context of parallel and distributed computing architectures.

49

Publications

2.1K

Citations

135

Authors

68

Institutions

Publications per year

2017–2026

26

Authors

135

  1. NG
    Nan Guan

    Northeastern University, China

    8 publications · 258 citations

    8

    h-index

  2. KA
    Kunal Agrawal

    Washington University in St. Louis, United States

    6 publications · 340 citations

    6

    h-index

  3. CL
    Chenyang Lu

    Washington University in St. Louis, United States

    6 publications · 340 citations

    6

    h-index

  4. XJ
    Xu Jiang

    Hong Kong Polytechnic University, Hong Kong SAR China

    6 publications · 163 citations

    6

    h-index

  5. JL
    Jing Li

    University of Kentucky, United States

    5 publications · 311 citations

    5

    h-index

1–5 of 135

Venues

  1. IEEE Transactions on Computers

    4 publications · 76 citations

    4

    h-index

  2. Future Generation Computer Systems

    FGCS · 4 publications · 223 citations

    4

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 69 citations

    2

    h-index

  4. Real-Time Systems

    2 publications · 68 citations

    2

    h-index

  5. Journal of Parallel and Distributed Computing

    1 publications · 14 citations

    1

    h-index

1–5