Data Persistence Design

Data Persistence Design is a methodological framework within serverless application architecture that specifies how data is durably stored, retrieved, and managed across ephemeral function executions, distinguished by its focus on state consistency, scalability, and integration with event-driven and cloud-native storage services.

29

Publications

4K

Citations

89

Authors

34

Institutions

Publications per year

2017–2026

2

Authors

89

  1. CW
    Chris Wells

    University of Maryland, Baltimore, United States

    4 publications · 3K citations

    4

    h-index

  2. PE
    Patrick Eaton

    University of California, Berkeley, United States

    4 publications · 3K citations

    4

    h-index

  3. BY
    Ben Y. Zhao

    University of California, Santa Barbara, United States

    4 publications · 3K citations

    4

    h-index

  4. WW
    Westley Weimer

    University of Virginia, United States

    4 publications · 3K citations

    4

    h-index

  5. HW
    Hakim Weatherspoon

    Cornell University, United States

    4 publications · 3K citations

    4

    h-index

1–5 of 89

Venues

  1. ACM SIGARCH Computer Architecture News

    1 publications · 81 citations

    1

    h-index

  2. Information Systems

    1 publications · 144 citations

    1

    h-index

  3. 1

    h-index

  4. Minds at UW (University of Wisconsin)

    Repository · 1 publications · 52 citations

    1

    h-index

  5. Medical Entomology and Zoology

    1 publications · 24 citations

    1

    h-index

1–5