Dynamic Offloading

Dynamic Offloading is a task offloading strategy that belongs to the class of adaptive computation distribution methods, distinguished by its real-time decision-making process that dynamically selects offloading targets based on fluctuating system conditions, application demands, and resource availability.

315

Publications

19.1K

Citations

973

Authors

404

Institutions

Publications per year

2017–2026

242

Variants

Dynamic Task Offloading

Authors

973

  1. YC
    Ying Chen

    Beijing Information Science & Technology University, China

    6 publications · 782 citations

    6

    h-index

  2. YJ
    Yusheng Ji

    National Institute of Informatics, Japan

    5 publications · 904 citations

    5

    h-index

  3. MB
    Mehdi Bennis

    University of Oulu, Finland

    5 publications · 659 citations

    5

    h-index

  4. EC
    Emilio Calvanese Strinati

    Commissariat à l'Énergie Atomique et aux Énergies Alternatives, France

    4 publications · 184 citations

    4

    h-index

  5. SB
    Sergio Barbarossa

    Sapienza University of Rome, Italy

    4 publications · 149 citations

    4

    h-index

1–5 of 973

Venues

  1. IEEE Internet of Things Journal

    19 publications · 2.6K citations

    19

    h-index

  2. IEEE Transactions on Vehicular Technology

    10 publications · 753 citations

    12

    h-index

  3. IEEE Transactions on Mobile Computing

    TMCCI · 7 publications · 1.2K citations

    10

    h-index

  4. IEEE Transactions on Wireless Communications

    8 publications · 1.3K citations

    9

    h-index

  5. IEEE Communications Letters

    7 publications · 303 citations

    7

    h-index

1–5