Cloud Capacity Planning

Cloud Capacity Planning is a strategic decision-making process within Cloud Economics that determines optimal resource provisioning levels in cloud environments by balancing cost, performance, and scalability demands against uncertain and variable workloads.

1.3K

Publications

76.3K

Citations

3.2K

Authors

1.1K

Institutions

Publications per year

2017–2026

501

Authors

3.2K

  1. RB
    Rajkumar Buyya

    The University of Melbourne, Australia

    32 publications · 9.6K citations

    25

    h-index

  2. BL
    Baochun Li

    University of Toronto, Canada

    17 publications · 1.3K citations

    16

    h-index

  3. DA
    Danilo Ardagna

    Politecnico di Milano, Italy

    16 publications · 1K citations

    15

    h-index

  4. CW
    Chuan Wu

    University of Hong Kong, Hong Kong SAR China

    17 publications · 1.3K citations

    14

    h-index

  5. ZL
    Zongpeng Li

    University of Calgary, Canada

    15 publications · 1K citations

    13

    h-index

1–5 of 3.2K

Venues

  1. Future Generation Computer Systems

    FGCS · 80 publications · 12.1K citations

    42

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 34 publications · 2K citations

    26

    h-index

  3. IEEE Transactions on Cloud Computing

    28 publications · 1.7K citations

    21

    h-index

  4. Cluster Computing

    35 publications · 1.2K citations

    21

    h-index

  5. The Journal of Supercomputing

    35 publications · 1.6K citations

    19

    h-index

1–5