Resource Scaling

Resource Scaling is a strategic framework in edge computing that dynamically adjusts computational, storage, and network resources to meet varying workload demands while optimizing performance, cost, and energy efficiency.

255

Publications

12.5K

Citations

914

Authors

349

Institutions

Publications per year

2017–2026

146

Authors

914

  1. AW
    Adam Wierman

    California Institute of Technology, United States

    4 publications · 221 citations

    4

    h-index

  2. ML
    Minghong Lin

    California Institute of Technology, United States

    4 publications · 221 citations

    4

    h-index

  3. YL
    Youlong Luo

    Wuhan University of Technology, China

    3 publications · 75 citations

    3

    h-index

  4. YR
    Yi Ren

    National Yang Ming Chiao Tung University, Taiwan

    3 publications · 85 citations

    3

    h-index

  5. JC
    Jyh‐Cheng Chen

    National Tsing Hua University, Taiwan

    3 publications · 85 citations

    3

    h-index

1–5 of 914

Venues

  1. IEEE Access

    9 publications · 262 citations

    9

    h-index

  2. IEEE Transactions on Network and Service Management

    TNSM · 7 publications · 350 citations

    7

    h-index

  3. IEEE Transactions on Cloud Computing

    4 publications · 198 citations

    4

    h-index

  4. The Journal of Supercomputing

    4 publications · 85 citations

    4

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 178 citations

    3

    h-index

1–5