Workload-aware Tiering

Workload-Aware Tiering is a tiered storage management strategy that dynamically assigns data to storage tiers based on real-time analysis of access patterns and performance demands, distinguishing itself from static or capacity-driven approaches by incorporating workload behavior to optimize latency, throughput, and resource utilization.

7

Publications

337

Citations

39

Authors

7

Institutions

Publications per year

2017–2026

4

Authors

39

  1. GT
    Greg Thelen

    Google (United States), United States

    2 publications · 174 citations

    2

    h-index

  2. PR
    Parthasarathy Ranganathan

    Hewlett-Packard (United States), United States

    2 publications · 174 citations

    2

    h-index

  3. AC
    Ashwin Chaugule

    Google (United States), United States

    1 publications · 112 citations

    1

    h-index

  4. CK
    Christopher Kennelly

    Google (United States), United States

    1 publications · 62 citations

    1

    h-index

  5. RB
    Radoslaw Burny

    Google (United States), United States

    1 publications · 112 citations

    1

    h-index

1–5 of 39

Venues

  1. The Journal of Supercomputing

    1 publications · 26 citations

    1

    h-index

  2. KSII Transactions on Internet and Information Systems

    TIIS · 1 publications · 23 citations

    1

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 27 citations

    1

    h-index

  4. Big Data Research

    1 publications · 18 citations

    1

    h-index

1–4