Stochastic Schedulability

Stochastic Schedulability is a probabilistic schedulability analysis framework that assesses the likelihood of timely task execution in real-time systems under uncertainty, distinguishing itself from deterministic models by incorporating random variables in task parameters such as arrival times, execution durations, or deadlines.

17

Publications

818

Citations

36

Authors

25

Institutions

Publications per year

2017–2026

1

Authors

36

  1. SM
    Sorin Manolache

    Linköping University, Sweden

    3 publications · 150 citations

    3

    h-index

  2. PE
    Petru Eles

    Linköping University, Sweden

    3 publications · 150 citations

    3

    h-index

  3. ZP
    Zebo Peng

    Linköping University, Sweden

    3 publications · 150 citations

    3

    h-index

  4. KM
    Kevin Mahon

    2 publications · 260 citations

    2

    h-index

  5. JO
    Javier Orozco

    Universidad Nacional del Sur, Argentina

    1 publications · 13 citations

    1

    h-index

1–5 of 36

Venues

  1. Journal of the Operational Research Society

    OR · 2 publications · 260 citations

    2

    h-index

  2. ACM Transactions on Embedded Computing Systems

    TECS · 1 publications · 72 citations

    1

    h-index

  3. ACM SIGBED Review

    1 publications · 13 citations

    1

    h-index

  4. Operations Research

    1 publications · 39 citations

    1

    h-index

  5. Theoretical Computer Science

    1 publications · 16 citations

    1

    h-index

1–5