Data Transfer Scheduling

Data Transfer Scheduling is a computational optimization method that determines the optimal timing, sequence, and allocation of data movement operations across distributed systems to minimize transfer time, cost, or resource contention while satisfying system and application constraints.

144

Publications

5K

Citations

375

Authors

153

Institutions

Publications per year

2017–2026

32

Authors

375

  1. TK
    Tevfik Kosar

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

    8 publications · 242 citations

    8

    h-index

  2. RK
    Rajkumar Kettimuthu

    Argonne National Laboratory, United States

    6 publications · 173 citations

    6

    h-index

  3. IF
    Ian Foster

    Argonne National Laboratory, United States

    6 publications · 167 citations

    6

    h-index

  4. PS
    P. Sadayappan

    The Ohio State University, United States

    5 publications · 123 citations

    5

    h-index

  5. EY
    Esma Yildirim

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

    5 publications · 150 citations

    5

    h-index

1–5 of 375

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 8 publications · 309 citations

    8

    h-index

  2. IEEE/ACM Transactions on Networking

    TON · 5 publications · 290 citations

    5

    h-index

  3. IEEE Access

    4 publications · 59 citations

    4

    h-index

  4. Computer Networks

    3 publications · 105 citations

    3

    h-index

  5. IEEE Transactions on Cloud Computing

    3 publications · 64 citations

    3

    h-index

1–5