Preemptive Stochastic Scheduling

Preemptive Stochastic Scheduling is a stochastic scheduling framework in which job processing decisions are made under uncertainty about future job arrivals or processing times, and in which a job's execution may be interrupted and resumed later to accommodate higher-priority tasks, distinguishing it from non-preemptive counterparts by allowing dynamic reallocation of processing resources based on evolving stochastic information.

21

Publications

710

Citations

33

Authors

38

Institutions

Publications per year

2017–2026

2

Authors

33

  1. XZ
    Xian Zhou

    Hong Kong Polytechnic University, Hong Kong SAR China

    5 publications · 157 citations

    5

    h-index

  2. XC
    Xiaoqiang Cai

    Chinese University of Hong Kong, Hong Kong SAR China

    4 publications · 111 citations

    4

    h-index

  3. XW
    Xianyi Wu

    East China Normal University, China

    3 publications · 102 citations

    3

    h-index

  4. TK
    Thomas Kämpke

    Forschungsinstitut für Anwendungsorientierte Wissensverarbeitung, Germany

    2 publications · 60 citations

    2

    h-index

  5. KD
    K. D. Glazebrook

    Newcastle University, United Kingdom

    2 publications · 37 citations

    2

    h-index

1–5 of 33

Venues

  1. 5

    h-index

  2. Mathematics of Operations Research

    2 publications · 55 citations

    2

    h-index

  3. Journal of Applied Probability

    JAP · 2 publications · 60 citations

    2

    h-index

  4. Journal of Scheduling

    JOS · 1 publications · 88 citations

    1

    h-index

  5. Journal of Systems Science and Complexity

    JSSC · 1 publications · 24 citations

    1

    h-index

1–5