File Access Pattern Analysis

File Access Pattern Analysis is a methodological framework within file system analysis that characterizes and evaluates the temporal, spatial, and behavioral regularities of file access operations to infer usage trends, optimize system performance, and enhance storage management.

97

Publications

6.4K

Citations

226

Authors

106

Institutions

Publications per year

2017–2026

11

Authors

226

  1. DD
    Darrell D. E. Long

    University of California, Santa Cruz, United States

    6 publications · 293 citations

    6

    h-index

  2. DA
    Daniel A. Reed

    University of Illinois Urbana-Champaign, United States

    5 publications · 233 citations

    5

    h-index

  3. DE
    Daniel Ellard

    Harvard University Press, United States

    5 publications · 312 citations

    5

    h-index

  4. DK
    David Kotz

    Dartmouth College, United States

    5 publications · 385 citations

    5

    h-index

  5. NN
    Nils Nieuwejaar

    Dartmouth College, United States

    5 publications · 385 citations

    5

    h-index

1–5 of 226

Venues

  1. ACM Transactions on Storage

    TOS · 4 publications · 125 citations

    4

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 294 citations

    3

    h-index

  3. eScholarship (California Digital Library)

    Repository · 2 publications · 102 citations

    2

    h-index

  4. ACM SIGMETRICS Performance Evaluation Review

    PER · 2 publications · 85 citations

    2

    h-index

  5. 2

    h-index

1–5