Stream Scheduling

Stream Scheduling is a data movement optimization technique that orchestrates the execution and transfer of data streams in a computational system by prioritizing and timing operations to minimize latency and maximize throughput under resource constraints.

258

Publications

9.7K

Citations

680

Authors

277

Institutions

Publications per year

2017–2026

66

Authors

680

  1. KS
    Karsten Schwan

    Georgia Institute of Technology, United States

    5 publications · 236 citations

    5

    h-index

  2. DS
    Dawei Sun

    Northeastern University, China

    5 publications · 186 citations

    5

    h-index

  3. HJ
    Hai Jin

    Huazhong University of Science and Technology, China

    4 publications · 80 citations

    4

    h-index

  4. MD
    Mayur Datar

    Stanford University, United States

    4 publications · 852 citations

    4

    h-index

  5. RM
    Rajeev Motwani

    Stanford University, United States

    4 publications · 852 citations

    4

    h-index

1–5 of 680

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 9 publications · 241 citations

    9

    h-index

  2. Future Generation Computer Systems

    FGCS · 7 publications · 169 citations

    7

    h-index

  3. IEEE Transactions on Computers

    4 publications · 139 citations

    4

    h-index

  4. Proceedings of the VLDB Endowment

    PVLDB · 4 publications · 130 citations

    4

    h-index

  5. TU/e Research Portal

    Repository · 4 publications · 113 citations

    4

    h-index

1–5