Cloud Resource Right-sizing

Cloud Resource Right-Sizing is a cloud cost optimization method that involves adjusting the capacity and type of cloud computing resources to match actual workload requirements, thereby eliminating over-provisioning and minimizing unnecessary expenditure while maintaining performance.

5

Publications

949

Citations

16

Authors

9

Institutions

Publications per year

2017–2026

2

Authors

16

  1. ET
    Eno Thereska

    Microsoft Research (United Kingdom), United Kingdom

    2 publications · 887 citations

    2

    h-index

  2. ML
    Minghong Lin

    California Institute of Technology, United States

    2 publications · 887 citations

    2

    h-index

  3. AW
    Adam Wierman

    California Institute of Technology, United States

    2 publications · 887 citations

    2

    h-index

  4. WL
    Weidong Li

    Coventry University, United Kingdom

    1 publications · 32 citations

    1

    h-index

  5. GJ
    Guoqing Jin

    University of Science and Technology of China, China

    1 publications · 32 citations

    1

    h-index

1–5 of 16

Venues

  1. IEEE/ACM Transactions on Networking

    TON · 1 publications · 442 citations

    1

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 12 citations

    1

    h-index

  3. Future Generation Computer Systems

    FGCS · 1 publications · 32 citations

    1

    h-index

1–3