Storage Performance Optimization

Storage Performance Optimization is a methodological framework within distributed storage systems that enhances data access speed, throughput, and latency by systematically tuning storage architectures, data placement strategies, and I/O operations to meet performance objectives under varying workloads.

1.1K

Publications

51.4K

Citations

3.1K

Authors

717

Institutions

Publications per year

2017–2026

254

Authors

3.1K

  1. HJ
    Hong Jiang

    University of Nebraska–Lincoln, United States

    16 publications · 548 citations

    15

    h-index

  2. GR
    Gregory R. Ganger

    Carnegie Mellon University, United States

    12 publications · 1.1K citations

    12

    h-index

  3. SW
    Suzhen Wu

    Xiamen University, China

    11 publications · 354 citations

    11

    h-index

  4. SS
    Steven Swanson

    University of California San Diego, United States

    11 publications · 811 citations

    11

    h-index

  5. BM
    Bo Mao

    Xiamen University, China

    11 publications · 354 citations

    11

    h-index

1–5 of 3.1K

Venues

  1. IEEE Transactions on Computers

    28 publications · 1.2K citations

    21

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 21 publications · 1.4K citations

    19

    h-index

  3. ACM Transactions on Storage

    TOS · 25 publications · 2.3K citations

    18

    h-index

  4. File and Storage Technologies

    Conference · 19 publications · 1.5K citations

    17

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 20 publications · 476 citations

    16

    h-index

1–5