Dag Scheduling

DAG Scheduling is a computational workflow management technique that specifically determines the execution order of tasks in a directed acyclic graph (DAG) according to their dependencies and resource constraints.

218

Publications

10.1K

Citations

514

Authors

250

Institutions

Publications per year

2017–2026

59

Authors

514

  1. AL
    Arnold L. Rosenberg

    University of Massachusetts Amherst, United States

    9 publications · 262 citations

    9

    h-index

  2. NG
    Nan Guan

    Northeastern University, China

    8 publications · 311 citations

    8

    h-index

  3. DP
    Dharma P. Agrawal

    University of Cincinnati, United States

    7 publications · 476 citations

    7

    h-index

  4. SB
    Sanjoy Baruah

    University of North Carolina at Chapel Hill, United States

    6 publications · 311 citations

    6

    h-index

  5. FÖ
    F. Özgüner

    The Ohio State University, United States

    6 publications · 310 citations

    6

    h-index

1–5 of 514

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 21 publications · 2.1K citations

    20

    h-index

  2. IEEE Transactions on Computers

    9 publications · 472 citations

    8

    h-index

  3. Journal of Parallel and Distributed Computing

    7 publications · 289 citations

    7

    h-index

  4. IEEE Access

    4 publications · 68 citations

    4

    h-index

  5. 3

    h-index

1–5