Cloud Performance Engineering

Cloud Performance Engineering is a systematic discipline within performance engineering that focuses on designing, modeling, measuring, and optimizing the performance of cloud-based systems through scalable architectural patterns, resource management strategies, and quality-of-service assurance mechanisms specific to virtualized and distributed cloud environments.

342

Publications

14.9K

Citations

1K

Authors

420

Institutions

Publications per year

2017–2026

104

Authors

1K

  1. RB
    Rajkumar Buyya

    The University of Melbourne, Australia

    7 publications · 1.4K citations

    7

    h-index

  2. AI
    Alexandru Iosup

    Delft University of Technology, Netherlands

    6 publications · 537 citations

    6

    h-index

  3. PL
    Philipp Leitner

    University of Zurich, Switzerland

    6 publications · 404 citations

    6

    h-index

  4. HK
    Hamzeh Khazaei

    York University, Canada

    6 publications · 351 citations

    6

    h-index

  5. WW
    Wei Wang

    The University of Texas at San Antonio, United States

    6 publications · 138 citations

    6

    h-index

1–5 of 1K

Venues

  1. Future Generation Computer Systems

    FGCS · 14 publications · 1.6K citations

    14

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 7 publications · 488 citations

    7

    h-index

  3. The Journal of Supercomputing

    7 publications · 202 citations

    7

    h-index

  4. Procedia Computer Science

    7 publications · 201 citations

    7

    h-index

  5. Journal of Systems and Software

    JSS · 5 publications · 311 citations

    5

    h-index

1–5