Edge Cloud Placement

Edge Cloud Placement is a computational resource allocation strategy that specifically determines the optimal deployment of workload tasks between edge and cloud infrastructures to minimize latency, optimize resource utilization, and meet service-level requirements.

30

Publications

1.4K

Citations

106

Authors

63

Institutions

Publications per year

2017–2026

29

Authors

106

  1. CL
    Chunlin Li

    Wuhan University of Technology, China

    3 publications · 146 citations

    3

    h-index

  2. NA
    Nirwan Ansari

    New Jersey Institute of Technology, United States

    3 publications · 272 citations

    3

    h-index

  3. YL
    Youlong Luo

    Wuhan University of Technology, China

    3 publications · 146 citations

    3

    h-index

  4. YL
    Yejun Liu

    Northeastern University, China

    1 publications · 31 citations

    2

    h-index

  5. QF
    Qiang Fan

    New Jersey Institute of Technology, United States

    2 publications · 187 citations

    2

    h-index

1–5 of 106

Venues

  1. Future Generation Computer Systems

    FGCS · 5 publications · 285 citations

    6

    h-index

  2. IEEE Transactions on Mobile Computing

    TMCCI · 2 publications · 59 citations

    2

    h-index

  3. IEEE Transactions on Network and Service Management

    TNSM · 2 publications · 33 citations

    2

    h-index

  4. Wireless Personal Communications

    1 publications · 31 citations

    1

    h-index

  5. The Journal of Supercomputing

    1 publications · 18 citations

    1

    h-index

1–5