Parallel Stream Processing

Parallel Stream Processing is a computational paradigm within parallel data management systems that enables the simultaneous processing of continuous, high-volume data streams across multiple processing nodes to achieve improved throughput and reduced latency.

204

Publications

9.3K

Citations

617

Authors

258

Institutions

Publications per year

2017–2026

72

Authors

617

  1. MD
    Marco Danelutto

    University of Pisa, Italy

    11 publications · 265 citations

    10

    h-index

  2. LG
    Luiz Gustavo Fernandes

    Pontifícia Universidade Católica do Rio Grande do Sul, Brazil

    10 publications · 237 citations

    10

    h-index

  3. DG
    Dalvan Griebler

    Pontifícia Universidade Católica do Rio Grande do Sul, Brazil

    10 publications · 237 citations

    10

    h-index

  4. MT
    Massimo Torquati

    University of Pisa, Italy

    6 publications · 167 citations

    6

    h-index

  5. GM
    Gabriele Mencagli

    University of Pisa, Italy

    5 publications · 101 citations

    5

    h-index

1–5 of 617

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 7 publications · 263 citations

    7

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 5 publications · 200 citations

    5

    h-index

  3. The VLDB Journal

    3 publications · 279 citations

    3

    h-index

  4. Journal of Parallel and Distributed Computing

    3 publications · 52 citations

    3

    h-index

  5. International Journal of Parallel Programming

    3 publications · 100 citations

    3

    h-index

1–5