Autoscaling Optimization

Autoscaling Optimization is an algorithmic framework within cloud resource management that dynamically adjusts computational capacity in response to fluctuating workloads while minimizing operational costs and ensuring service-level agreement compliance.

55

Publications

2K

Citations

202

Authors

94

Institutions

Publications per year

2017–2026

38

Authors

202

  1. RL
    Renato L. F. Cunha

    IBM Research - Brazil, Brazil

    2 publications · 105 citations

    2

    h-index

  2. FK
    Farshad Khunjush

    Shiraz University, Iran

    2 publications · 113 citations

    2

    h-index

  3. MA
    Marco A. S. Netto

    IBM Research - Brazil, Brazil

    2 publications · 105 citations

    2

    h-index

  4. JD
    Javad Dogani

    Shiraz University, Iran

    2 publications · 113 citations

    2

    h-index

  5. MD
    Marcos Dias de Assunção

    École Normale Supérieure de Lyon, France

    2 publications · 105 citations

    2

    h-index

1–5 of 202

Venues

  1. Journal of Parallel and Distributed Computing

    3 publications · 69 citations

    3

    h-index

  2. IEEE Transactions on Services Computing

    2 publications · 86 citations

    2

    h-index

  3. Cluster Computing

    2 publications · 21 citations

    2

    h-index

  4. Advances in Engineering Software

    1 publications · 80 citations

    1

    h-index

  5. IEEE Internet of Things Journal

    1 publications · 52 citations

    1

    h-index

1–5