Resource Consumption Forecasting

Resource Consumption Forecasting is a predictive modeling technique that specifically estimates future utilization levels of computational, storage, and network resources in cloud environments based on historical usage patterns and system dynamics.

189

Publications

8.3K

Citations

675

Authors

300

Institutions

Publications per year

2017–2026

96

Authors

675

  1. RW
    Rich Wolski

    University of California, Santa Barbara, United States

    3 publications · 334 citations

    3

    h-index

  2. LL
    Lu Liu

    University of Derby, United Kingdom

    3 publications · 71 citations

    3

    h-index

  3. KQ
    Kashifuddin Qazi

    Manhattan University, United States

    3 publications · 49 citations

    3

    h-index

  4. JC
    Jian Cao

    Shanghai Jiao Tong University, China

    3 publications · 89 citations

    3

    h-index

  5. JF
    J.A.B. Fortes

    University of Florida, United States

    3 publications · 343 citations

    3

    h-index

1–5 of 675

Venues

  1. Future Generation Computer Systems

    FGCS · 4 publications · 159 citations

    4

    h-index

  2. The Journal of Supercomputing

    4 publications · 117 citations

    4

    h-index

  3. IEEE Access

    4 publications · 201 citations

    4

    h-index

  4. Software Practice and Experience

    3 publications · 147 citations

    3

    h-index

  5. IEEE Transactions on Services Computing

    3 publications · 242 citations

    3

    h-index

1–5