Log-structured Storage

Log-Structured Storage is a data storage system that organizes all write operations sequentially into an append-only log-like structure, distinguishing itself from other storage systems by eliminating random in-place updates and optimizing write throughput and garbage collection for workloads dominated by sequential writes.

167

Publications

13.2K

Citations

523

Authors

156

Institutions

Publications per year

2017–2026

58

Authors

523

  1. JK
    John K. Ousterhout

    University of California, Berkeley, United States

    11 publications · 3.5K citations

    11

    h-index

  2. MA
    Manos Athanassoulis

    École Polytechnique Fédérale de Lausanne, Switzerland

    7 publications · 194 citations

    7

    h-index

  3. MR
    Mendel Rosenblum

    Stanford University, United States

    6 publications · 3K citations

    6

    h-index

  4. GA
    Garth A. Gibson

    Carnegie Mellon University, United States

    6 publications · 556 citations

    6

    h-index

  5. OB
    Oana Balmau

    Nutanix (United States), United States

    5 publications · 340 citations

    5

    h-index

1–5 of 523

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 12 publications · 548 citations

    12

    h-index

  2. ACM Transactions on Storage

    TOS · 8 publications · 206 citations

    8

    h-index

  3. ACM SIGOPS Operating Systems Review

    5 publications · 241 citations

    5

    h-index

  4. ACM Transactions on Computer Systems

    TOCS · 4 publications · 1.7K citations

    4

    h-index

  5. File and Storage Technologies

    Conference · 4 publications · 372 citations

    4

    h-index

1–5