Offline Job Scheduling

Offline Job Scheduling is a job scheduling paradigm in which all job characteristics, including arrival times, execution requirements, and deadlines, are known in advance, distinguishing it from online scheduling by enabling globally optimal scheduling decisions through prior knowledge of the entire job set.

18

Publications

680

Citations

60

Authors

26

Institutions

Publications per year

2017–2026

4

Authors

60

  1. TL
    Tak‐Wah Lam

    University of Hong Kong, Hong Kong SAR China

    3 publications · 71 citations

    3

    h-index

  2. KT
    Kar‐Keung To

    University of Hong Kong, Hong Kong SAR China

    2 publications · 27 citations

    2

    h-index

  3. HC
    Ho-Leung Chan

    University of Hong Kong, Hong Kong SAR China

    2 publications · 27 citations

    2

    h-index

  4. ZL
    Zongpeng Li

    University of Calgary, Canada

    1 publications · 89 citations

    1

    h-index

  5. SS
    Sartaj Sahni

    University of Florida, United States

    1 publications · 10 citations

    1

    h-index

1–5 of 60

Venues

  1. Journal of Scheduling

    JOS · 2 publications · 73 citations

    2

    h-index

  2. 1

    h-index

  3. IEEE Transactions on Mobile Computing

    TMCCI · 1 publications · 17 citations

    1

    h-index

  4. IFAC-PapersOnLine

    1 publications · 19 citations

    1

    h-index

  5. IEEE Transactions on Network Science and Engineering

    NSE · 1 publications · 23 citations

    1

    h-index

1–5