Tiered Performance Optimization

Tiered Performance Optimization is a computational framework that systematically allocates data and workloads across hierarchical storage tiers based on access patterns, latency requirements, and cost constraints to maximize overall system performance.

9

Publications

309

Citations

26

Authors

14

Institutions

Publications per year

2017–2026

4

Authors

26

  1. DA
    Daniel Antunes Maciel Villela

    Fundação Oswaldo Cruz, Brazil

    2 publications · 175 citations

    2

    h-index

  2. DR
    Dan Rubenstein

    Columbia University, United States

    2 publications · 175 citations

    2

    h-index

  3. SS
    Slaviša Sarafijanović

    École Polytechnique Fédérale de Lausanne, Switzerland

    1 publications · 11 citations

    1

    h-index

  4. PP
    P. Pradhan

    State University of New York, United States

    1 publications · 58 citations

    1

    h-index

  5. II
    Ilias Iliadis

    IBM Research - Zurich, Switzerland

    1 publications · 11 citations

    1

    h-index

1–5 of 26

Venues

  1. USENIX conference on Hot Topics in Cloud Ccomputing

    Conference · 1 publications · 28 citations

    1

    h-index

  2. IEEE Transactions on Communications

    1 publications · 17 citations

    1

    h-index

  3. ACM Transactions on Storage

    TOS · 1 publications · 11 citations

    1

    h-index

  4. ACM Transactions on Internet Technology

    TOIT · 1 publications · 117 citations

    1

    h-index

  5. KSII Transactions on Internet and Information Systems

    TIIS · 1 publications · 23 citations

    1

    h-index

1–5