Trace Querying

Trace Querying is a distributed tracing method that enables the retrieval, filtering, and analysis of trace data across distributed systems by leveraging structured queries based on semantic attributes, temporal constraints, and causal relationships intrinsic to traced transactions.

15

Publications

891

Citations

46

Authors

29

Institutions

Publications per year

2017–2026

0

Authors

46

  1. RO
    Robert O'Callahan

    University of Washington, United States

    2 publications · 169 citations

    2

    h-index

  2. SF
    Simon F. Goldsmith

    University of California, Berkeley, United States

    2 publications · 169 citations

    2

    h-index

  3. AA
    Alex Aiken

    Stanford University, United States

    2 publications · 169 citations

    2

    h-index

  4. MC
    Matt Calder

    Microsoft Research (United Kingdom), United Kingdom

    1 publications · 28 citations

    1

    h-index

  5. RT
    Robin Teigland

    Stockholm School of Economics, Sweden

    1 publications · 55 citations

    1

    h-index

1–5 of 46

Venues

  1. ACM Transactions on Computer Systems

    TOCS · 1 publications · 279 citations

    1

    h-index

  2. Information and Organization

    1 publications · 55 citations

    1

    h-index

  3. Requirements Engineering

    1 publications · 22 citations

    1

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 35 citations

    1

    h-index

  5. ACM SIGOPS Operating Systems Review

    1 publications · 13 citations

    1

    h-index

1–5