Stream Query Optimization

Stream Query Optimization is a query optimization technique that dynamically adapts execution plans for continuous queries over high-velocity data streams to meet real-time processing constraints while minimizing latency and resource consumption.

59

Publications

4K

Citations

194

Authors

73

Institutions

Publications per year

2017–2026

11

Authors

194

  1. EA
    Elke A. Rundensteiner

    Worcester Polytechnic Institute, United States

    6 publications · 209 citations

    6

    h-index

  2. WG
    Walid G. Aref

    Purdue University West Lafayette, United States

    3 publications · 127 citations

    3

    h-index

  3. SC
    Shigang Chen

    University of Florida, United States

    3 publications · 101 citations

    3

    h-index

  4. PB
    Peter Bailis

    Stanford University, United States

    3 publications · 129 citations

    3

    h-index

  5. JF
    Jeffrey F. Naughton

    University of Wisconsin–Madison, United States

    3 publications · 356 citations

    3

    h-index

1–5 of 194

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 52 citations

    3

    h-index

  2. IEEE/ACM Transactions on Networking

    TON · 2 publications · 55 citations

    2

    h-index

  3. PRISM (University of Calgary)

    Repository · 1 publications · 15 citations

    1

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 28 citations

    1

    h-index

  5. The VLDB Journal

    1 publications · 102 citations

    1

    h-index

1–5