Database Bottleneck Analysis

Database Bottleneck Analysis is a systematic method for identifying and diagnosing performance-limiting components within database systems by analyzing resource utilization, query execution patterns, and data access structures to isolate constraints that impede overall throughput and responsiveness.

77

Publications

4.7K

Citations

229

Authors

76

Institutions

Publications per year

2017–2026

12

Authors

229

  1. AA
    Anastasia Ailamaki

    École Polytechnique Fédérale de Lausanne, Switzerland

    4 publications · 344 citations

    4

    h-index

  2. LF
    Lothar F. Mackert

    IBM Research - Almaden, United States

    3 publications · 438 citations

    3

    h-index

  3. KD
    Karl Dias

    Oracle (United States), United States

    3 publications · 192 citations

    3

    h-index

  4. MA
    Mumtaz Ahmad

    University of Waterloo, Canada

    3 publications · 108 citations

    3

    h-index

  5. DJ
    David J. DeWitt

    University of Wisconsin–Madison, United States

    3 publications · 144 citations

    3

    h-index

1–5 of 229

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 7 publications · 626 citations

    7

    h-index

  2. ACM Transactions on Database Systems

    TODS · 3 publications · 97 citations

    3

    h-index

  3. ACM SIGMOD Record

    2 publications · 217 citations

    2

    h-index

  4. ACM SIGMETRICS Performance Evaluation Review

    PER · 2 publications · 41 citations

    2

    h-index

  5. Communications of the ACM

    2 publications · 406 citations

    2

    h-index

1–5