Event-driven Scheduling

Event-Driven Scheduling is a computational scheduling paradigm that belongs to the class of dynamic scheduling methods, distinguished by its reliance on the occurrence of discrete events to trigger task activation, resource allocation, or execution adjustments in real-time systems.

104

Publications

5K

Citations

294

Authors

131

Institutions

Publications per year

2017–2026

26

Authors

294

  1. RE
    Rolf Ernst

    Technische Universität Braunschweig, Germany

    5 publications · 179 citations

    5

    h-index

  2. CA
    Christodoulos A. Floudas

    Princeton University, United States

    4 publications · 252 citations

    4

    h-index

  3. MA
    Munawar A. Shaik

    Indian Institute of Technology Delhi, India

    3 publications · 211 citations

    3

    h-index

  4. SH
    Sandra Hirche

    Technical University of Munich, Germany

    3 publications · 51 citations

    3

    h-index

  5. MH
    Mohammad H. Mamduhi

    Technical University of Munich, Germany

    3 publications · 51 citations

    3

    h-index

1–5 of 294

Venues

  1. International Journal of Production Research

    3 publications · 184 citations

    3

    h-index

  2. Industrial & Engineering Chemistry Research

    3 publications · 160 citations

    3

    h-index

  3. 2

    h-index

  4. IEEE Transactions on Smart Grid

    2 publications · 84 citations

    2

    h-index

  5. Computers & Chemical Engineering

    2 publications · 182 citations

    2

    h-index

1–5