Edge Resource Allocation Optimization

Edge Resource Allocation Optimization is a computational framework that determines the most efficient distribution of limited computing resources at the network edge by jointly considering latency, bandwidth, energy consumption, and service demand to enhance overall system performance and resource utilization.

123

Publications

6.3K

Citations

455

Authors

221

Institutions

Publications per year

2017–2026

122

Authors

455

  1. QH
    Qiang He

    Swinburne University of Technology, Australia

    4 publications · 266 citations

    4

    h-index

  2. FR
    F. Richard Yu

    Carleton University, Canada

    3 publications · 223 citations

    3

    h-index

  3. DV
    Dang Van Huynh

    Queen's University Belfast, United Kingdom

    3 publications · 195 citations

    3

    h-index

  4. VK
    Vijay K. Bhargava

    University of British Columbia, Canada

    3 publications · 60 citations

    3

    h-index

  5. PW
    Ping Wang

    Nanyang Technological University, Singapore

    3 publications · 197 citations

    3

    h-index

1–5 of 455

Venues

  1. IEEE Internet of Things Journal

    9 publications · 449 citations

    9

    h-index

  2. Computer Communications

    9 publications · 441 citations

    9

    h-index

  3. Future Generation Computer Systems

    FGCS · 8 publications · 525 citations

    8

    h-index

  4. IEEE Transactions on Wireless Communications

    5 publications · 730 citations

    5

    h-index

  5. Computer Networks

    4 publications · 117 citations

    4

    h-index

1–5