Reliability-aware Scheduling

Reliability-Aware Scheduling is a computational scheduling framework that incorporates system and component reliability models to optimize task allocation and execution timing in edge computing environments by explicitly accounting for the probabilistic failure behaviors of heterogeneous edge resources.

131

Publications

5.8K

Citations

391

Authors

193

Institutions

Publications per year

2017–2026

55

Authors

391

  1. KL
    Kenli Li

    Hunan University, China

    7 publications · 596 citations

    6

    h-index

  2. RP
    Robert P. Dick

    University of Michigan, United States

    4 publications · 153 citations

    4

    h-index

  3. AC
    Abhishek Chandra

    University of Minnesota, United States

    4 publications · 185 citations

    4

    h-index

  4. JW
    Jon Weissman

    University of Minnesota, United States

    4 publications · 185 citations

    4

    h-index

  5. TC
    Thidapat Chantem

    University of Notre Dame, United States

    4 publications · 153 citations

    4

    h-index

1–5 of 391

Venues

  1. IEEE Transactions on Reliability

    6 publications · 256 citations

    6

    h-index

  2. IEEE Transactions on Industrial Informatics

    5 publications · 279 citations

    5

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 5 publications · 424 citations

    5

    h-index

  4. Journal of Parallel and Distributed Computing

    4 publications · 361 citations

    4

    h-index

  5. IEEE Transactions on Computers

    3 publications · 359 citations

    3

    h-index

1–5