Stream Partitioning

Stream Partitioning is a stream processing technique that divides a data stream into disjoint subsets based on a predefined criterion such as key hashing, range, or predicate filtering, enabling parallel and scalable processing across distributed computing nodes.

68

Publications

2.5K

Citations

180

Authors

92

Institutions

Publications per year

2017–2026

20

Authors

180

  1. HC
    Hanhua Chen

    Huazhong University of Science and Technology, China

    4 publications · 80 citations

    4

    h-index

  2. HJ
    Hai Jin

    Huazhong University of Science and Technology, China

    4 publications · 80 citations

    4

    h-index

  3. CC
    Cailian Chen

    Shanghai Jiao Tong University, China

    2 publications · 73 citations

    2

    h-index

  4. ZW
    Zheng Wang

    University of Leeds, United Kingdom

    2 publications · 157 citations

    2

    h-index

  5. XL
    Xiaoyong Li

    National University of Defense Technology, China

    2 publications · 47 citations

    2

    h-index

1–5 of 180

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 4 publications · 145 citations

    4

    h-index

  2. Expert Systems with Applications

    2 publications · 134 citations

    2

    h-index

  3. Future Generation Computer Systems

    FGCS · 2 publications · 47 citations

    2

    h-index

  4. IEEE Internet of Things Journal

    2 publications · 80 citations

    2

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 189 citations

    2

    h-index

1–5