Stream Processing Performance

Stream Processing Performance is a quantitative measure of the efficiency and effectiveness with which a distributed system processes continuous data streams, distinguished by its focus on latency, throughput, and accuracy in real-time analytics under dynamic workloads.

93

Publications

4.4K

Citations

332

Authors

133

Institutions

Publications per year

2017–2026

43

Authors

332

  1. WJ
    William J. Dally

    Stanford University, United States

    5 publications · 608 citations

    5

    h-index

  2. UJ
    Ujval J. Kapasi

    Stanford University, United States

    4 publications · 580 citations

    4

    h-index

  3. SR
    Scott Rixner

    Rice University, United States

    3 publications · 449 citations

    3

    h-index

  4. PM
    Peter Mattson

    Stanford University, United States

    3 publications · 449 citations

    3

    h-index

  5. JD
    John D. Owens

    University of California, Davis, United States

    3 publications · 449 citations

    3

    h-index

1–5 of 332

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 4 publications · 181 citations

    4

    h-index

  2. Future Generation Computer Systems

    FGCS · 4 publications · 136 citations

    4

    h-index

  3. Performance Evaluation

    2 publications · 42 citations

    2

    h-index

  4. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 73 citations

    2

    h-index

  5. Journal of Parallel and Distributed Computing

    2 publications · 79 citations

    2

    h-index

1–5