Simulation-based Capacity Planning

Simulation-Based Capacity Planning is a method within cloud capacity planning that uses computational models to emulate system behavior under varying workload conditions in order to predict throughput performance and optimize resource allocation.

67

Publications

2.3K

Citations

225

Authors

105

Institutions

Publications per year

2017–2026

14

Authors

225

  1. YL
    Yi‐Bing Lin

    National Yang Ming Chiao Tung University, Taiwan

    4 publications · 206 citations

    4

    h-index

  2. CD
    Christopher D. Carothers

    Rensselaer Polytechnic Institute, United States

    3 publications · 125 citations

    3

    h-index

  3. RM
    Richard M. Fujimoto

    Georgia Institute of Technology, United States

    2 publications · 88 citations

    2

    h-index

  4. KS
    Kari Sipilä

    Nokia (Finland), Finland

    2 publications · 144 citations

    2

    h-index

  5. RF
    R.M. Fujimoto

    Georgia Institute of Technology, United States

    2 publications · 118 citations

    2

    h-index

1–5 of 225

Venues

  1. International Journal of Production Research

    5 publications · 115 citations

    5

    h-index

  2. IEEE Transactions on Smart Grid

    2 publications · 122 citations

    2

    h-index

  3. Applied Energy

    1 publications · 46 citations

    1

    h-index

  4. Computer Methods and Programs in Biomedicine

    1 publications · 45 citations

    1

    h-index

  5. Simulation Modelling Practice and Theory

    1 publications · 29 citations

    1

    h-index

1–5