Distributed Trace Analysis

Distributed Trace Analysis is a methodological framework within distributed systems monitoring that enables the reconstruction and examination of causal relationships across service boundaries by uniquely identifying and aggregating trace data from disparate nodes, thereby distinguishing itself from generic logging or event analysis through its focus on end-to-end transaction visibility and temporal ordering of distributed events.

33

Publications

2.4K

Citations

114

Authors

50

Institutions

Publications per year

2017–2026

10

Authors

114

  1. YB
    Yuriy Brun

    University of Massachusetts Amherst, United States

    3 publications · 76 citations

    3

    h-index

  2. MK
    Marcos K. Aguilera

    Hewlett-Packard (United States), United States

    3 publications · 1K citations

    3

    h-index

  3. JL
    Janet L. Wiener

    Hewlett-Packard (United States), United States

    3 publications · 1K citations

    3

    h-index

  4. MD
    Michael D. Ernst

    University of Washington, United States

    3 publications · 76 citations

    3

    h-index

  5. IB
    Ivan Beschastnikh

    University of British Columbia, Canada

    3 publications · 76 citations

    3

    h-index

1–5 of 114

Venues

  1. ACM SIGOPS Operating Systems Review

    3 publications · 624 citations

    3

    h-index

  2. Journal of Parallel and Distributed Computing

    2 publications · 196 citations

    2

    h-index

  3. Formal Aspects of Computing

    1 publications · 15 citations

    1

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 33 citations

    1

    h-index

  5. Journal of Systems and Software

    JSS · 1 publications · 37 citations

    1

    h-index

1–5