Predictive Scaling

Predictive Scaling is an elastic resource management technique that proactively adjusts computing resources based on forecasted workload patterns using historical data and machine learning models to optimize performance and efficiency.

79

Publications

4.6K

Citations

273

Authors

114

Institutions

Publications per year

2017–2026

40

Authors

273

  1. MA
    Muhammad Abdullah

    University of the Punjab, Pakistan

    5 publications · 221 citations

    5

    h-index

  2. WI
    Waheed Iqbal

    University of the Punjab, Pakistan

    5 publications · 221 citations

    5

    h-index

  3. CL
    Chung–Horng Lung

    Carleton University, Canada

    4 publications · 195 citations

    4

    h-index

  4. SA
    Samuel A. Ajila

    Carleton University, Canada

    4 publications · 195 citations

    4

    h-index

  5. IK
    In Kee Kim

    University of Virginia, United States

    3 publications · 162 citations

    3

    h-index

1–5 of 273

Venues

  1. 4

    h-index

  2. IEEE Transactions on Cloud Computing

    3 publications · 165 citations

    3

    h-index

  3. IEEE Access

    3 publications · 86 citations

    3

    h-index

  4. Geophysical Journal International

    GJI · 2 publications · 74 citations

    2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 41 citations

    2

    h-index

1–5