Concepedia

Query Performance Tuning

Query Performance Tuning is a methodological process within data warehousing that systematically optimizes the execution efficiency of database queries by refining query structure, indexing strategies, and resource allocation to minimize response time and computational overhead.

267

Publications

13K

Citations

749

Authors

248

Institutions

Publications per year

2017–2026

66

Parents

Publications

267

BlinkDB

Sameer Agarwal, Barzan Mozafari, Aurojit Panda et al. · 2013 · 709 citations

, , +17

Automated Selection of Materialized Views and Indexes in SQL Databases

Sanjay Agrawal, Surajit Chaudhuri, Vivek Narasayya · 2000 · 557 citations

, , +16

STR: a simple and efficient algorithm for R-tree packing

Scott T. Leutenegger, Mario A. López, Jeffrey Edgington · 2002 · 483 citations

, , +16

Benchmarking Database Systems A Systematic Approach

Dina Bitton, David J. DeWitt, Carolyn Turbyfill · Minds at UW (University of Wisconsin) · 1983 · 396 citations · Full text

, , +14

Neo

Ryan Marcus, Parimarjan Negi, Hongzi Mao et al. · Proceedings of the VLDB Endowment · 2019 · 339 citations · Full text

, , +10

1–5 of 267

Authors

749

  1. SC
    Surajit Chaudhuri

    Microsoft (United States), United States

    9 publications · 1.2K citations

    9

    h-index

  2. VN
    Vivek Narasayya

    Microsoft (United States), United States

    9 publications · 943 citations

    9

    h-index

  3. AA
    Anastasia Ailamaki

    École Polytechnique Fédérale de Lausanne, Switzerland

    8 publications · 365 citations

    8

    h-index

  4. NP
    Neoklis Polyzotis

    University of California, Santa Cruz, United States

    6 publications · 213 citations

    6

    h-index

  5. TK
    Tim Kraska

    Massachusetts Institute of Technology, United States

    6 publications · 738 citations

    6

    h-index

1–5 of 749

Institutions

248

  1. University of Wisconsin–Madison

    Madison, United States

    13 h-index

    26 publications

    1.1K citations

  2. Microsoft (United States)

    Redmond, United States

    13 h-index

    48 publications

    2.9K citations

  3. Microsoft Research (United Kingdom)

    Cambridge, United Kingdom

    10 h-index

    24 publications

    3.1K citations

  4. University of Waterloo

    Waterloo, Canada

    10 h-index

    17 publications

    563 citations

  5. IBM Research - Almaden

    San Jose, United States

    10 h-index

    27 publications

    1.9K citations

  6. IBM (United States)

    Armonk, United States

    7 h-index

    22 publications

    1.9K citations

  7. École Polytechnique Fédérale de Lausanne

    Lausanne, Switzerland

    7 h-index

    18 publications

    879 citations

  8. The Ohio State University

    Columbus, United States

    7 h-index

    13 publications

    251 citations

1–8 of 248

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 22 publications · 1.6K citations

    20

    h-index

  2. Very Large Data Bases

    Conference · 5 publications · 317 citations

    5

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 5 publications · 153 citations

    5

    h-index

  4. ACM SIGMOD Record

    5 publications · 172 citations

    5

    h-index

  5. The VLDB Journal

    5 publications · 293 citations

    5

    h-index

1–5