Cloud-native Decomposition

Cloud-Native Decomposition is a methodological framework that decomposes monolithic workloads into fine-grained, cloud-optimized components by leveraging cloud-native principles such as microservices, containerization, and dynamic orchestration to enable scalable, resilient, and portable rehosting in cloud environments.

20

Publications

636

Citations

90

Authors

28

Institutions

Publications per year

2017–2026

18

Authors

90

  1. RP
    Rastin Pries

    University of Würzburg, Germany

    2 publications · 55 citations

    2

    h-index

  2. WK
    Wolfgang Kellerer

    Technical University of Munich, Germany

    2 publications · 55 citations

    2

    h-index

  3. NK
    Nane Kratzke

    Technical University of Applied Sciences Lübeck, Germany

    2 publications · 43 citations

    2

    h-index

  4. EG
    Endri Goshi

    Technical University of Munich, Germany

    2 publications · 55 citations

    2

    h-index

  5. MH
    Mu He

    Technical University of Munich, Germany

    2 publications · 55 citations

    2

    h-index

1–5 of 90

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 27 citations

    2

    h-index

  2. Future Generation Computer Systems

    FGCS · 2 publications · 84 citations

    2

    h-index

  3. Computer Science & IT Research Journal

    1 publications · 26 citations

    1

    h-index

  4. IEEE Communications Magazine

    1 publications · 15 citations

    1

    h-index

  5. 1

    h-index

1–5