Predictive Resource Scheduling

Predictive Resource Scheduling is a computational framework within resource forecasting that integrates predictive analytics to dynamically allocate and sequence resources by anticipating future demand, availability, and performance constraints through data-driven modeling.

111

Publications

5K

Citations

362

Authors

141

Institutions

Publications per year

2017–2026

58

Authors

362

  1. CY
    Chenyang Yang

    Beihang University, China

    5 publications · 126 citations

    5

    h-index

  2. JG
    Jia Guo

    Beihang University, China

    3 publications · 60 citations

    3

    h-index

  3. ML
    Michael Lewis

    University of Pittsburgh, United States

    2 publications · 55 citations

    2

    h-index

  4. SV
    Shyam Vasudeva Rao

    Maastricht University, Netherlands

    2 publications · 58 citations

    2

    h-index

  5. AS
    Aravind Srinivasan

    Aravind Eye Hospital, India

    2 publications · 58 citations

    2

    h-index

1–5 of 362

Venues

  1. Computers & Chemical Engineering

    3 publications · 119 citations

    3

    h-index

  2. Computer Networks

    2 publications · 76 citations

    3

    h-index

  3. Future Generation Computer Systems

    FGCS · 3 publications · 182 citations

    3

    h-index

  4. IEEE/ACM Transactions on Networking

    TON · 2 publications · 50 citations

    2

    h-index

  5. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 35 citations

    2

    h-index

1–5