Task Offloading

Task Offloading is a resource management and scheduling mechanism in edge and cloud computing that determines whether and how to migrate computational tasks from local devices to remote edge or cloud resources in order to optimize performance-related objectives such as latency, energy consumption, and quality of service.

5.2K

Publications

350.3K

Citations

11.2K

Authors

2.2K

Institutions

Publications per year

2017–2026

4.4K

Authors

11.2K

  1. ZH
    Zhu Han

    University of Houston, United States

    71 publications · 6.1K citations

    41

    h-index

  2. FR
    F. Richard Yu

    Carleton University, Canada

    54 publications · 6K citations

    37

    h-index

  3. VC
    Victor C. M. Leung

    University of British Columbia, Canada

    60 publications · 5.6K citations

    36

    h-index

  4. XX
    Xiaolong Xu

    Nanjing University of Information Science and Technology, China

    46 publications · 4.2K citations

    35

    h-index

  5. YZ
    Yan Zhang

    University of Oslo, Norway

    44 publications · 5.9K citations

    34

    h-index

1–5 of 11.2K

Venues

  1. IEEE Internet of Things Journal

    454 publications · 39.9K citations

    107

    h-index

  2. IEEE Transactions on Vehicular Technology

    280 publications · 27.3K citations

    88

    h-index

  3. IEEE Transactions on Wireless Communications

    154 publications · 22.2K citations

    79

    h-index

  4. IEEE Transactions on Mobile Computing

    TMCCI · 161 publications · 14.5K citations

    68

    h-index

  5. IEEE Access

    298 publications · 16.7K citations

    67

    h-index

1–5