Storage Performance Modeling

Storage Performance Modeling is a systematic analytical framework that characterizes and predicts the behavior of storage systems under varying workloads by quantifying performance metrics such as throughput, latency, and IOPS, distinguishing it from general performance analysis through its focus on modeling the interactions between storage hardware, software, and access patterns.

363

Publications

19.4K

Citations

979

Authors

299

Institutions

Publications per year

2017–2026

73

Authors

979

  1. GR
    Gregory R. Ganger

    Carnegie Mellon University, United States

    20 publications · 1.6K citations

    16

    h-index

  2. RH
    Randy H. Katz

    University of California, Berkeley, United States

    8 publications · 301 citations

    8

    h-index

  3. JW
    John Wilkes

    Hewlett-Packard (United States), United States

    6 publications · 1.2K citations

    6

    h-index

  4. CF
    Christos Faloutsos

    Carnegie Mellon University, United States

    6 publications · 561 citations

    6

    h-index

  5. JS
    Jiří Schindler

    Carnegie Mellon University, United States

    6 publications · 762 citations

    6

    h-index

1–5 of 979

Venues

  1. International Journal of Production Research

    9 publications · 324 citations

    10

    h-index

  2. ACM Transactions on Storage

    TOS · 11 publications · 545 citations

    10

    h-index

  3. ACM SIGMETRICS Performance Evaluation Review

    PER · 10 publications · 499 citations

    10

    h-index

  4. File and Storage Technologies

    Conference · 7 publications · 615 citations

    7

    h-index

  5. IEEE Transactions on Computers

    7 publications · 248 citations

    7

    h-index

1–5