Document Open Access Logo

Robust Performance in Database Query Processing (Dagstuhl Seminar 17222)

Authors Renata Borovica-Gajic, Goetz Graefe, Allison Lee and all authors of the abstracts in this report

PDF

File

Thumbnail PDF
PDF
DagRep.7.5.169.pdf
  • Filesize: 2.36 MB
  • 12 pages

Document Identifiers

Subject Classification

Keywords
  • Robust Query Performance
  • Database Management Systems
  • Adaptive Query Processing
  • Query Optimization
  • Query Execution
  • Updates
  • Parallelism
  • Data Skew

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
    0
    Metadata Views

Abstract

The Dagstuhl Seminar 17222 on "Robust performance in database query processing", held from 28/May until 02/June 2017, brought together researchers from academia and industry to discuss aspects of robustness in database management systems that have not been addressed by the previous instances of the seminar. This article summarizes the main discussion topics, and presents the summary of the outputs of four work groups that discussed: i) updates and database utilities, ii) parallelism, partitioning and skew, iii) dynamic join sequences, and iv) machine learning techniques used to explain unexpected performance observations.

Cite As Get BibTex

Renata Borovica-Gajic, Goetz Graefe, and Allison Lee. Robust Performance in Database Query Processing (Dagstuhl Seminar 17222). In Dagstuhl Reports, Volume 7, Issue 5, pp. 169-180, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017) https://doi.org/10.4230/DagRep.7.5.169

Author Details

Renata Borovica-Gajic
Goetz Graefe
Allison Lee
and all authors of the abstracts in this report
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail
© 2023-2025 Schloss Dagstuhl – LZI GmbH About DROPS Imprint Privacy Contact