Network-aware Scheduling

Network-Aware Scheduling is a scheduling methodology that optimizes task placement and resource allocation in distributed computing environments by explicitly incorporating network topology, bandwidth constraints, and data transfer costs to minimize latency and maximize data locality, particularly within cluster, edge-cloud, and federated infrastructure contexts.

148

Publications

5.9K

Citations

434

Authors

199

Institutions

Publications per year

2017–2026

59

Authors

434

  1. AC
    Agustín C. Caminero

    Universidad Nacional de Educación a Distancia, Spain

    6 publications · 134 citations

    6

    h-index

  2. BC
    Blanca Caminero

    University of Castilla-La Mancha, Spain

    5 publications · 102 citations

    5

    h-index

  3. BL
    Baochun Li

    University of Toronto, Canada

    5 publications · 123 citations

    5

    h-index

  4. CC
    Carmen Carrión

    University of Castilla-La Mancha, Spain

    5 publications · 102 citations

    5

    h-index

  5. SM
    Shiyao Ma

    Hong Kong University of Science and Technology, Hong Kong SAR China

    4 publications · 101 citations

    4

    h-index

1–5 of 434

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 4 publications · 175 citations

    4

    h-index

  2. Future Generation Computer Systems

    FGCS · 4 publications · 99 citations

    4

    h-index

  3. 4

    h-index

  4. IEEE Access

    4 publications · 87 citations

    4

    h-index

  5. IEEE Transactions on Industrial Informatics

    3 publications · 170 citations

    3

    h-index

1–5