Resource Right-sizing

Resource Right-Sizing is a cloud cost optimization method that involves adjusting the computational, storage, and memory capacity of cloud resources to align precisely with the actual performance and demand requirements of rehosted workloads, thereby eliminating over-provisioning and minimizing operational expenditure.

15

Publications

1.3K

Citations

44

Authors

22

Institutions

Publications per year

2017–2026

4

Authors

44

  1. HX
    Hong Xu

    City University of Hong Kong, Hong Kong SAR China

    3 publications · 248 citations

    3

    h-index

  2. ML
    Minghong Lin

    California Institute of Technology, United States

    2 publications · 887 citations

    2

    h-index

  3. ZZ
    Zhi Zhou

    Sun Yat-sen University, China

    2 publications · 187 citations

    2

    h-index

  4. HJ
    Hai Jin

    Huazhong University of Science and Technology, China

    2 publications · 187 citations

    2

    h-index

  5. ET
    Eno Thereska

    Microsoft Research (United Kingdom), United Kingdom

    2 publications · 887 citations

    2

    h-index

1–5 of 44

Venues

  1. Process Safety and Environmental Protection

    1 publications · 45 citations

    1

    h-index

  2. Journal of Corporate Real Estate

    1 publications · 10 citations

    1

    h-index

  3. Journal of the American Planning Association

    JAPA · 1 publications · 15 citations

    1

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 96 citations

    1

    h-index

  5. 1

    h-index

1–5