Cloud Performance Optimization

Cloud Performance Optimization is an engineering discipline within cloud computing that encompasses the systematic monitoring, analysis, and improvement of cloud-based infrastructure and applications to enhance efficiency, reduce latency, and optimize resource consumption.

5.9K

Publications

292.8K

Citations

13.8K

Authors

2.7K

Institutions

Publications per year

2017–2026

2.6K

Authors

13.8K

  1. RB
    Rajkumar Buyya

    The University of Melbourne, Australia

    69 publications · 12.6K citations

    45

    h-index

  2. AY
    Albert Y. Zomaya

    The University of Sydney, Australia

    34 publications · 1.9K citations

    22

    h-index

  3. BL
    Baochun Li

    University of Toronto, Canada

    25 publications · 1.5K citations

    20

    h-index

  4. MZ
    MengChu Zhou

    New Jersey Institute of Technology, United States

    19 publications · 1.8K citations

    19

    h-index

  5. KL
    Keqin Li

    SUNY New Paltz, United States

    29 publications · 1.1K citations

    18

    h-index

1–5 of 13.8K

Venues

  1. Future Generation Computer Systems

    FGCS · 155 publications · 12.7K citations

    56

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 122 publications · 9.2K citations

    50

    h-index

  3. IEEE Transactions on Cloud Computing

    125 publications · 6.7K citations

    47

    h-index

  4. IEEE Access

    137 publications · 6.1K citations

    45

    h-index

  5. The Journal of Supercomputing

    99 publications · 4.7K citations

    38

    h-index

1–5

See also

Cloud Performance Optimization

Core Methods

Evaluation

Applications

Benchmarks

Limitations