Query-aware Partitioning

Query-Aware Partitioning is a data partitioning strategy that belongs to the class of query-informed data organization methods, distinguished by its explicit alignment of data distribution boundaries with anticipated query access patterns to minimize cross-partition operations and optimize query performance.

16

Publications

1.1K

Citations

49

Authors

27

Institutions

Publications per year

2017–2026

2

Authors

49

  1. HS
    Hung Son Nguyen

    University of Warsaw, Poland

    2 publications · 60 citations

    2

    h-index

  2. GL
    Guoliang Li

    Tsinghua University, China

    1 publications · 86 citations

    1

    h-index

  3. KH
    Katja Hose

    Aalborg University, Denmark

    1 publications · 41 citations

    1

    h-index

  4. JC
    Jinchuan Chen

    Renmin University of China, China

    1 publications · 10 citations

    1

    h-index

  5. KX
    Kexin Xie

    The University of Queensland, Australia

    1 publications · 33 citations

    1

    h-index

1–5 of 49

Venues

  1. Distributed and Parallel Databases

    2 publications · 23 citations

    2

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 656 citations

    2

    h-index

  3. Fundamenta Informaticae

    1 publications · 42 citations

    1

    h-index

  4. International Joint Conference on Artificial Intelligence

    Conference · 1 publications · 18 citations

    1

    h-index

  5. Very Large Data Bases

    Conference · 1 publications · 18 citations

    1

    h-index

1–5