Trace Processing Pipelines

Trace Processing Pipelines is a systematic computational framework within distributed tracing that ingests, transforms, enriches, and routes trace data to support scalable monitoring, analysis, and observability of microservices interactions.

4

Publications

130

Citations

19

Authors

7

Institutions

Publications per year

2017–2026

1

Authors

19

  1. MC
    Michael C. Giddings

    University of Utah, United States

    1 publications · 56 citations

    1

    h-index

  2. LM
    Lloyd M. Smith

    University of Wisconsin–Madison, United States

    1 publications · 56 citations

    1

    h-index

  3. GA
    George Amvrosiadis

    Carnegie Mellon University, United States

    1 publications · 12 citations

    1

    h-index

  4. MK
    Michael Kuchnik

    Carnegie Mellon University, United States

    1 publications · 12 citations

    1

    h-index

  5. TI
    Tauseef Israr

    Carleton University, Canada

    1 publications · 48 citations

    1

    h-index

1–5 of 19

Venues

  1. Journal of Systems and Software

    JSS · 1 publications · 48 citations

    1

    h-index

  2. Genome Research

    GR · 1 publications · 56 citations

    1

    h-index

  3. login Usenix Mag.

    1 publications · 12 citations

    1

    h-index

1–3