Structured Logging

Structured Logging is a logging methodology that organizes log data into a standardized, machine-readable format—typically using key-value pairs or JSON—to enable efficient parsing, querying, and analysis in containerized environments.

12

Publications

584

Citations

51

Authors

16

Institutions

Publications per year

2017–2026

10

Authors

51

  1. ST
    Shimin Tao

    Huawei Technologies (China), China

    2 publications · 61 citations

    2

    h-index

  2. PH
    Pinjia He

    Chinese University of Hong Kong, Shenzhen, China

    1 publications · 231 citations

    2

    h-index

  3. CS
    Chung Shue Chen

    Nokia (France), France

    1 publications · 68 citations

    1

    h-index

  4. XZ
    Xiaohong Zhang

    Chongqing University, China

    1 publications · 25 citations

    1

    h-index

  5. SH
    Shilin He

    Chinese University of Hong Kong, Hong Kong SAR China

    1 publications · 231 citations

    1

    h-index

1–5 of 51

Venues

  1. ACM/IEEE Joint Conference on Digital Libraries

    Conference · 1 publications · 29 citations

    1

    h-index

  2. IEEE Transactions on Dependable and Secure Computing

    TDSC · 1 publications · 231 citations

    1

    h-index

  3. ACM SIGMETRICS Performance Evaluation Review

    PER · 1 publications · 38 citations

    1

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 68 citations

    1

    h-index

  5. Future Internet

    1 publications · 22 citations

    1

    h-index

1–5