Scalable Logging Architectures

Scalable Logging Architectures is a systematic framework in container logging that enables efficient collection, processing, and storage of log data across distributed systems by dynamically adapting to varying workloads and infrastructure规模 without degradation in performance or reliability.

9

Publications

406

Citations

30

Authors

15

Institutions

Publications per year

2017–2026

0

Authors

30

  1. SS
    Sriram Subramanian

    University of Bristol, United Kingdom

    1 publications · 160 citations

    1

    h-index

  2. AA
    Anastasia Ailamaki

    École Polytechnique Fédérale de Lausanne, Switzerland

    1 publications · 56 citations

    1

    h-index

  3. SP
    Samuel P. Benz

    National Institute of Standards and Technology, United States

    1 publications · 17 citations

    1

    h-index

  4. AD
    Alan Dearle

    University of St Andrews, United Kingdom

    1 publications · 16 citations

    1

    h-index

  5. SB
    Sumeer Bhola

    IBM Research - Thomas J. Watson Research Center, United States

    1 publications · 17 citations

    1

    h-index

1–5 of 30

Venues

  1. 1

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 160 citations

    1

    h-index

  3. The VLDB Journal

    1 publications · 56 citations

    1

    h-index

  4. Infoscience (Ecole Polytechnique Fédérale de Lausanne)

    Repository · 1 publications · 11 citations

  5. Networked Systems Design and Implementation

    Conference · 1 publications · 13 citations

1–5