Cloud Native Metrics

Cloud Native Metrics is a metricological framework that systematically captures, quantifies, and evaluates performance, scalability, and resilience attributes of software systems designed according to cloud-native architectural principles, distinguishing it from traditional metrics by its intrinsic alignment with dynamic, distributed, and containerized environments.

4

Publications

433

Citations

19

Authors

8

Institutions

Publications per year

2017–2026

4

Authors

19

  1. AY
    Albert Y. Zomaya

    The University of Sydney, Australia

    2 publications · 87 citations

    2

    h-index

  2. JY
    Jianwei Yin

    Zhejiang University, China

    2 publications · 87 citations

    2

    h-index

  3. YD
    Yinuo Deng

    Hangzhou Dianzi University, China

    2 publications · 87 citations

    2

    h-index

  4. SD
    Schahram Dustdar

    TU Wien, Austria

    2 publications · 87 citations

    2

    h-index

  5. SD
    Shuiguang Deng

    Zhejiang University of Science and Technology, China

    2 publications · 87 citations

    2

    h-index

1–5 of 19

Venues

  1. Journal of Systems and Software

    JSS · 1 publications · 280 citations

    1

    h-index

  2. Proceedings of the IEEE

    1 publications · 77 citations

    1

    h-index

  3. IEEE Transactions on Services Computing

    1 publications · 11 citations

  4. Journal of Network and Systems Management

    1 publications · 15 citations

1–4