Serverless Analytics

Serverless Analytics is a cloud-based data processing paradigm that enables the execution of analytical workloads without requiring users to manage underlying server infrastructure, distinguishing it from traditional analytics models by abstracting server provisioning and scaling through event-driven, pay-per-use execution.

27

Publications

1.3K

Citations

125

Authors

47

Institutions

Publications per year

2017–2026

27

Authors

125

  1. CK
    Christos Kozyrakis

    Stanford University, United States

    3 publications · 236 citations

    3

    h-index

  2. IS
    Ion Stoica

    University of California, Berkeley, United States

    3 publications · 177 citations

    3

    h-index

  3. RC
    Robert Cordingly

    University of Washington Tacoma, United States

    2 publications · 64 citations

    2

    h-index

  4. JJ
    Jananie Jarachanthan

    University of Louisiana at Lafayette, United States

    2 publications · 36 citations

    2

    h-index

  5. GV
    Gil Vernik

    IBM Research - Haifa, Israel

    2 publications · 98 citations

    2

    h-index

1–5 of 125

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 64 citations

    4

    h-index

  2. Networked Systems Design and Implementation

    Conference · 2 publications · 137 citations

    2

    h-index

  3. Data & Policy

    1 publications · 17 citations

    1

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 24 citations

    1

    h-index

  5. 2019 Global Conference for Advancement in Technology (GCAT)

    Conference · 1 publications · 16 citations

    1

    h-index

1–5