Edge Resource Management

Edge Resource Management is a subfield of resource management in distributed computing that studies and designs policies, models, and mechanisms for allocating, scheduling, and orchestrating heterogeneous, resource-constrained, and geographically distributed computational, storage, networking, and energy resources at the network edge to satisfy application-level quality-of-service and system-level efficiency objectives.

3.2K

Publications

211.7K

Citations

8.6K

Authors

1.8K

Institutions

Publications per year

2017–2026

3.1K

Authors

8.6K

  1. XX
    Xiaolong Xu

    Nanjing University of Information Science and Technology, China

    39 publications · 3.7K citations

    32

    h-index

  2. ZH
    Zhu Han

    University of Houston, United States

    44 publications · 3.1K citations

    31

    h-index

  3. DN
    Dusit Niyato

    Nanyang Technological University, Singapore

    45 publications · 5.8K citations

    30

    h-index

  4. FR
    F. Richard Yu

    Carleton University, Canada

    39 publications · 5K citations

    29

    h-index

  5. QH
    Qiang He

    Swinburne University of Technology, Australia

    29 publications · 1.7K citations

    24

    h-index

1–5 of 8.6K

Venues

  1. IEEE Internet of Things Journal

    212 publications · 20.1K citations

    76

    h-index

  2. IEEE Transactions on Vehicular Technology

    130 publications · 10.7K citations

    58

    h-index

  3. IEEE Access

    154 publications · 12.1K citations

    54

    h-index

  4. IEEE Transactions on Mobile Computing

    TMCCI · 102 publications · 7.4K citations

    49

    h-index

  5. IEEE Transactions on Wireless Communications

    78 publications · 8.4K citations

    47

    h-index

1–5