Distributed Task Scheduling

Distributed Task Scheduling is a computational framework that orchestrates the allocation and execution of interdependent tasks across multiple networked nodes in a distributed system, distinguished by its coordination of task placement, timing, and resource management to optimize performance, fault tolerance, and load balancing.

584

Publications

33K

Citations

1.6K

Authors

637

Institutions

Publications per year

2017–2026

143

Authors

1.6K

  1. HD
    Helen D. Karatza

    Aristotle University of Thessaloniki, Greece

    15 publications · 340 citations

    13

    h-index

  2. KG
    Kang G. Shin

    University of Michigan, United States

    10 publications · 684 citations

    10

    h-index

  3. HC
    Henri Casanova

    University of Hawaiʻi at Mānoa, United States

    8 publications · 792 citations

    8

    h-index

  4. AG
    Arif Ghafoor

    Purdue University West Lafayette, United States

    7 publications · 294 citations

    7

    h-index

  5. KL
    Kenli Li

    Hunan University, China

    7 publications · 258 citations

    7

    h-index

1–5 of 1.6K

Venues

  1. IEEE Transactions on Computers

    17 publications · 2.2K citations

    16

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 17 publications · 1.5K citations

    16

    h-index

  3. Journal of Parallel and Distributed Computing

    13 publications · 667 citations

    12

    h-index

  4. IEEE Transactions on Software Engineering

    TSE · 8 publications · 1.5K citations

    8

    h-index

  5. IEEE Internet of Things Journal

    8 publications · 878 citations

    8

    h-index

1–5