Performance Predictability

Performance Predictability is a performance isolation metric that quantifies the degree to which tenant workload behavior in a multi-tenant system can be consistently forecasted under varying resource contention scenarios, ensuring bounded and reliable execution outcomes.

93

Publications

4K

Citations

311

Authors

161

Institutions

Publications per year

2017–2026

23

Authors

311

  1. AB
    Andrew B. Kahng

    University of California San Diego, United States

    3 publications · 81 citations

    3

    h-index

  2. SR
    Sriram Rao

    Microsoft Research (United Kingdom), United Kingdom

    2 publications · 194 citations

    2

    h-index

  3. DG
    David Grau

    University of Alabama, United States

    2 publications · 36 citations

    2

    h-index

  4. ÝV
    Ýmir Vigfússon

    Emory University, United States

    2 publications · 77 citations

    2

    h-index

  5. ZK
    Zbigniew Kalbarczyk

    University of Illinois Urbana-Champaign, United States

    2 publications · 82 citations

    2

    h-index

1–5 of 311

Venues

  1. SSRN Electronic Journal

    Repository · 5 publications · 291 citations

    5

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 159 citations

    4

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 89 citations

    3

    h-index

  4. Performance Evaluation

    2 publications · 65 citations

    2

    h-index

  5. File and Storage Technologies

    Conference · 2 publications · 175 citations

    2

    h-index

1–5