Small File Management

Small File Management is a methodological framework within parallel file systems that optimizes the storage, retrieval, and organization of files significantly smaller than the system's typical block size by addressing metadata overhead, aggregation, and placement strategies specific to high-concurrency, scalable computing environments.

81

Publications

5.3K

Citations

253

Authors

100

Institutions

Publications per year

2017–2026

16

Authors

253

  1. JK
    John K. Ousterhout

    University of California, Berkeley, United States

    3 publications · 2.3K citations

    3

    h-index

  2. MR
    Mendel Rosenblum

    Stanford University, United States

    3 publications · 2.3K citations

    3

    h-index

  3. WZ
    Weizhe Zhang

    Harbin Institute of Technology, China

    2 publications · 66 citations

    2

    h-index

  4. HH
    Hui He

    Harbin Institute of Technology, China

    2 publications · 66 citations

    2

    h-index

  5. BP
    B Prabavathy

    Sri Sivasubramaniya Nadar College of Engineering

    2 publications · 69 citations

    2

    h-index

1–5 of 253

Venues

  1. Procedia Computer Science

    3 publications · 96 citations

    3

    h-index

  2. 2

    h-index

  3. ACM SIGOPS Operating Systems Review

    2 publications · 222 citations

    2

    h-index

  4. The Journal of Supercomputing

    2 publications · 66 citations

    2

    h-index

  5. Sociological Methods & Research

    SMR · 1 publications · 106 citations

    1

    h-index

1–5