Edge Computing Optimization

Edge Computing Optimization is a performance optimization strategy that minimizes latency, bandwidth usage, and computational overhead by processing data closer to the data source through the strategic placement and management of computational resources at the network edge.

319

Publications

14.7K

Citations

1.1K

Authors

410

Institutions

Publications per year

2017–2026

313

Authors

1.1K

  1. QH
    Qiang He

    Swinburne University of Technology, Australia

    10 publications · 716 citations

    10

    h-index

  2. FC
    Feifei Chen

    Deakin University, Australia

    7 publications · 616 citations

    7

    h-index

  3. FR
    F. Richard Yu

    Carleton University, Canada

    5 publications · 410 citations

    7

    h-index

  4. XX
    Xiaoyu Xia

    Deakin University, Australia

    7 publications · 542 citations

    7

    h-index

  5. JG
    John Grundy

    Monash University, Australia

    6 publications · 588 citations

    6

    h-index

1–5 of 1.1K

Venues

  1. IEEE Access

    17 publications · 724 citations

    16

    h-index

  2. IEEE Internet of Things Journal

    15 publications · 1.1K citations

    16

    h-index

  3. IEEE Transactions on Wireless Communications

    13 publications · 1.3K citations

    14

    h-index

  4. IEEE Transactions on Vehicular Technology

    9 publications · 366 citations

    10

    h-index

  5. IEEE Transactions on Mobile Computing

    TMCCI · 6 publications · 416 citations

    9

    h-index

1–5