Performance Bottleneck Detection

Performance Bottleneck Detection is a distributed tracing methodology that identifies system components exhibiting anomalous latency or resource contention, thereby differentiating itself from general monitoring techniques by precisely localizing performance degradation within complex, interconnected services.

460

Publications

20.2K

Citations

1.5K

Authors

430

Institutions

Publications per year

2017–2026

144

Authors

1.5K

  1. CP
    Calton Pu

    Georgia Institute of Technology, United States

    7 publications · 158 citations

    7

    h-index

  2. JC
    Jason Cong

    University of California, Los Angeles, United States

    6 publications · 187 citations

    6

    h-index

  3. BF
    Babak Falsafi

    Carnegie Mellon University, United States

    5 publications · 415 citations

    5

    h-index

  4. TF
    Thomas F. Wenisch

    University of Michigan, United States

    5 publications · 374 citations

    5

    h-index

  5. XS
    Xian‐He Sun

    Illinois Institute of Technology, United States

    5 publications · 141 citations

    5

    h-index

1–5 of 1.5K

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 162 citations

    10

    h-index

  2. 6

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 5 publications · 318 citations

    5

    h-index

  4. ACM SIGARCH Computer Architecture News

    5 publications · 152 citations

    5

    h-index

  5. 5

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1–5