Queueing-based Cost Modeling

Queueing-Based Cost Modeling is a computational economic modeling approach that integrates queueing theory to characterize and predict cloud resource provisioning costs by accounting for stochastic demand patterns, service delays, and resource contention dynamics inherent in shared infrastructure environments.

88

Publications

4.5K

Citations

212

Authors

123

Institutions

Publications per year

2017–2026

24

Authors

212

  1. LG
    Ling Guan

    Toronto Metropolitan University, Canada

    3 publications · 167 citations

    3

    h-index

  2. CE
    Colin E. Bell

    University of Iowa, United States

    3 publications · 378 citations

    3

    h-index

  3. YH
    Yifeng He

    Toronto Metropolitan University, Canada

    3 publications · 167 citations

    3

    h-index

  4. XN
    Xiaoming Nan

    Toronto Metropolitan University, Canada

    3 publications · 167 citations

    3

    h-index

  5. JL
    Joel L. Wolf

    IBM Research - Thomas J. Watson Research Center, United States

    2 publications · 196 citations

    2

    h-index

1–5 of 212

Venues

  1. Operations Research

    6 publications · 906 citations

    6

    h-index

  2. Management Science

    5 publications · 636 citations

    5

    h-index

  3. International Journal of Production Research

    2 publications · 58 citations

    2

    h-index

  4. IEEE/ACM Transactions on Networking

    TON · 2 publications · 42 citations

    2

    h-index

  5. IEEE Transactions on Cloud Computing

    2 publications · 61 citations

    2

    h-index

1–5