Tiering Performance Optimization

Tiering Performance Optimization is a methodological framework within storage systems research that orchestrates data placement and access across hierarchical storage tiers to maximize performance efficiency by dynamically aligning workload demands with the speed, cost, and capacity characteristics of each tier.

6

Publications

292

Citations

18

Authors

7

Institutions

Publications per year

2017–2026

3

Authors

18

  1. HP
    Himabindu Pucha

    Purdue University West Lafayette, United States

    1 publications · 153 citations

    1

    h-index

  2. NC
    Nate Coehlo

    Google (United States), United States

    1 publications · 47 citations

    1

    h-index

  3. JG
    Jorge Guerra

    Florida International University, United States

    1 publications · 153 citations

    1

    h-index

  4. AG
    Anshul Gandhi

    Stony Brook University, United States

    1 publications · 28 citations

    1

    h-index

  5. WB
    Wendy Belluomini

    IBM Research - Almaden, United States

    1 publications · 153 citations

    1

    h-index

1–5 of 18

Venues

  1. USENIX conference on Hot Topics in Cloud Ccomputing

    Conference · 1 publications · 28 citations

    1

    h-index

  2. Production & Manufacturing Research

    1 publications · 14 citations

    1

    h-index

  3. KSII Transactions on Internet and Information Systems

    TIIS · 1 publications · 23 citations

    1

    h-index

  4. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 27 citations

    1

    h-index

  5. ACM Transactions on Database Systems

    TODS · 1 publications · 10 citations

1–5