Storage Layer Optimization

Storage Layer Optimization is a methodological framework within Data Lakehouse Architecture that enhances data storage efficiency and access performance by organizing and managing storage structures, indexing mechanisms, and data placement strategies to minimize latency and resource consumption while maximizing query throughput and scalability.

24

Publications

1.2K

Citations

111

Authors

48

Institutions

Publications per year

2017–2026

7

Authors

111

  1. GA
    Gabriel Antoniu

    Centre Inria de l'Université de Rennes, France

    2 publications · 84 citations

    2

    h-index

  2. PP
    Patrick P. C. Lee

    Chinese University of Hong Kong, Hong Kong SAR China

    2 publications · 36 citations

    2

    h-index

  3. DM
    Diana Moise

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 84 citations

    2

    h-index

  4. HH
    Helen H. W. Chan

    Chinese University of Hong Kong, Hong Kong SAR China

    2 publications · 36 citations

    2

    h-index

  5. LB
    Luc Bougé

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    2 publications · 84 citations

    2

    h-index

1–5 of 111

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 238 citations

    3

    h-index

  2. IEEE Access

    1 publications · 65 citations

    1

    h-index

  3. Journal of Applied Physics

    1 publications · 16 citations

    1

    h-index

  4. The Journal of Supercomputing

    1 publications · 54 citations

    1

    h-index

  5. ACM Transactions on Storage

    TOS · 1 publications · 31 citations

    1

    h-index

1–5