Storage Throughput Optimization

Storage Throughput Optimization is a computational methodology that specifically enhances the rate of data transfer between storage systems and processing units by minimizing latency and maximizing input/output efficiency under resource constraints.

26

Publications

817

Citations

77

Authors

37

Institutions

Publications per year

2017–2026

2

Authors

77

  1. MB
    Milind Bhandarkar

    University of Illinois Urbana-Champaign, United States

    2 publications · 22 citations

    2

    h-index

  2. AK
    Aleksandr Khasymski

    Virginia Tech, United States

    2 publications · 22 citations

    2

    h-index

  3. ST
    Sameer Tiwari

    Virginia Tech, United States

    2 publications · 22 citations

    2

    h-index

  4. KR
    K. R. Krish

    Virginia Tech, United States

    2 publications · 22 citations

    2

    h-index

  5. BC
    Byung Chun Park

    Keimyung University, South Korea

    2 publications · 69 citations

    2

    h-index

1–5 of 77

Venues

  1. IEEE Transactions on Computers

    3 publications · 316 citations

    3

    h-index

  2. International Journal of Production Research

    2 publications · 53 citations

    2

    h-index

  3. High Performance Computing Symposium

    Conference · 1 publications · 13 citations

    1

    h-index

  4. IEEE Transactions on Consumer Electronics

    1 publications · 15 citations

    1

    h-index

  5. Japanese Journal of Applied Physics

    JJAP · 1 publications · 32 citations

    1

    h-index

1–5