Unstructured Logging

Unstructured Logging is a logging approach that records container-generated output as free-form text without predefined schemas or formats, distinguishing it from structured methods by its reliance on arbitrary, human-readable messages rather than machine-parsable data models.

28

Publications

3.8K

Citations

105

Authors

41

Institutions

Publications per year

2017–2026

18

Authors

105

  1. QF
    Qiang Fu

    Microsoft Research Asia (China), China

    3 publications · 913 citations

    3

    h-index

  2. JL
    Jian–Guang Lou

    Microsoft Research Asia (China), China

    3 publications · 913 citations

    3

    h-index

  3. MD
    Min Du

    University of California, Berkeley, United States

    2 publications · 498 citations

    2

    h-index

  4. SZ
    Shenglin Zhang

    Tsinghua University, China

    2 publications · 680 citations

    2

    h-index

  5. MC
    Marcello Cinque

    University of Naples Federico II, Italy

    2 publications · 59 citations

    2

    h-index

1–5 of 105

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 179 citations

    2

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Journal of Consumer Behaviour

    1 publications · 11 citations

    1

    h-index

  5. IEEE Transactions on Software Engineering

    TSE · 1 publications · 161 citations

    1

    h-index

1–5