Edge Scheduling

Edge Scheduling is a distributed scheduling paradigm that orchestrates computational tasks at the network edge by leveraging proximity to data sources and decentralized resources to minimize latency and enhance real-time processing.

195

Publications

7.7K

Citations

657

Authors

278

Institutions

Publications per year

2017–2026

186

Authors

657

  1. ZT
    Zhiqing Tang

    Shanghai Jiao Tong University, China

    4 publications · 169 citations

    5

    h-index

  2. WZ
    Wei Zhao

    Texas A&M University, United States

    4 publications · 191 citations

    5

    h-index

  3. SG
    Song Guo

    Hong Kong Polytechnic University, Hong Kong SAR China

    4 publications · 126 citations

    4

    h-index

  4. JL
    Jiong Lou

    Shanghai Jiao Tong University, China

    3 publications · 124 citations

    4

    h-index

  5. JL
    Jiangchuan Liu

    Simon Fraser University, Canada

    2 publications · 115 citations

    3

    h-index

1–5 of 657

Venues

  1. Future Generation Computer Systems

    FGCS · 9 publications · 461 citations

    11

    h-index

  2. IEEE Transactions on Mobile Computing

    TMCCI · 8 publications · 246 citations

    10

    h-index

  3. IEEE Internet of Things Journal

    7 publications · 464 citations

    8

    h-index

  4. IEEE Transactions on Services Computing

    5 publications · 279 citations

    7

    h-index

  5. IEEE Access

    4 publications · 181 citations

    4

    h-index

1–5