Distributed Process Scheduling

Distributed Process Scheduling is a scheduling paradigm in distributed operating systems that orchestrates the allocation and execution of processes across interconnected nodes to optimize resource utilization, minimize latency, and ensure load balancing, distinguished from centralized or local scheduling by its inherent reliance on global system state and inter-node coordination.

31

Publications

1.7K

Citations

73

Authors

33

Institutions

Publications per year

2017–2026

3

Authors

73

  1. FC
    Flaviu Cristian

    University of California San Diego, United States

    2 publications · 537 citations

    2

    h-index

  2. CF
    Christof Fetzer

    Technische Universität Dresden, Germany

    2 publications · 537 citations

    2

    h-index

  3. XL
    Xinyu Li

    Huazhong University of Science and Technology, China

    1 publications · 28 citations

    1

    h-index

  4. ER
    Edmundo R. M. Madeira

    Universidade Estadual de Campinas (UNICAMP), Brazil

    1 publications · 11 citations

    1

    h-index

  5. WS
    Weiming Shen

    Huazhong University of Science and Technology, China

    1 publications · 42 citations

    1

    h-index

1–5 of 73

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 326 citations

    2

    h-index

  2. Proceedings of the International Conference on Parallel Processing

    Conference · 1 publications · 14 citations

    1

    h-index

  3. 1

    h-index

  4. ACM Transactions on Computer Systems

    TOCS · 1 publications · 82 citations

    1

    h-index

  5. Cluster Computing

    1 publications · 17 citations

    1

    h-index

1–5