Data Scheduling

Data Scheduling is a computational coordination mechanism that determines the optimal timing, placement, and sequence of data processing tasks across distributed edge devices and infrastructure to minimize latency, conserve bandwidth, and enhance real-time decision-making in edge data processing environments.

349

Publications

16.2K

Citations

1.2K

Authors

487

Institutions

Publications per year

2017–2026

130

Authors

1.2K

  1. TK
    Tevfik Kosar

    University at Buffalo, State University of New York, United States

    6 publications · 158 citations

    6

    h-index

  2. JL
    Jianzhong Li

    Harbin Institute of Technology, China

    6 publications · 149 citations

    6

    h-index

  3. HG
    Hong Gao

    Harbin Institute of Technology, China

    5 publications · 96 citations

    5

    h-index

  4. YL
    Yingshu Li

    Georgia State University, United States

    5 publications · 171 citations

    5

    h-index

  5. AB
    Amotz Bar-Noy

    IBM (United States), United States

    4 publications · 98 citations

    4

    h-index

1–5 of 1.2K

Venues

  1. IEEE Internet of Things Journal

    11 publications · 576 citations

    11

    h-index

  2. IEEE Transactions on Mobile Computing

    TMCCI · 11 publications · 644 citations

    11

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 8 publications · 458 citations

    8

    h-index

  4. IEEE Transactions on Wireless Communications

    7 publications · 259 citations

    7

    h-index

  5. IEEE Access

    6 publications · 104 citations

    6

    h-index

1–5