Edge-aware Scheduling

Edge-Aware Scheduling is a computational resource management strategy that, as a refinement of general task scheduling methodologies, incorporates real-time awareness of edge infrastructure constraints—such as latency, bandwidth, device heterogeneity, and geographic distribution—to optimize task placement and execution at the network edge.

114

Publications

5.8K

Citations

444

Authors

181

Institutions

Publications per year

2017–2026

108

Authors

444

  1. KK
    Kostas Kolomvatsos

    National and Kapodistrian University of Athens, Greece

    3 publications · 87 citations

    3

    h-index

  2. CL
    Chunlin Li

    Wuhan University of Technology, China

    3 publications · 187 citations

    3

    h-index

  3. SL
    Shaoran Li

    Virginia Tech, United States

    3 publications · 136 citations

    3

    h-index

  4. HS
    Haiying Shen

    Clemson University, United States

    3 publications · 130 citations

    3

    h-index

  5. YL
    Youlong Luo

    Wuhan University of Technology, China

    3 publications · 187 citations

    3

    h-index

1–5 of 444

Venues

  1. Future Generation Computer Systems

    FGCS · 11 publications · 787 citations

    11

    h-index

  2. Journal of Systems Architecture

    JSA · 6 publications · 312 citations

    6

    h-index

  3. IEEE Access

    4 publications · 240 citations

    4

    h-index

  4. IEEE Internet of Things Journal

    4 publications · 157 citations

    4

    h-index

  5. IEEE Transactions on Industrial Informatics

    4 publications · 616 citations

    4

    h-index

1–5