DagRep.2.7.73.pdf
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Database Workload Management (Dagstuhl Seminar 12282)
Authors and all authors of the abstracts in this report
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Part of:
Issue:
Dagstuhl Reports, Volume 2, Issue 7
Volume: Dagstuhl Reports, Volume 2
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license
- Publication Date: 2012-12-21
Cite AsGet BibTex
Shivnath Babu, Goetz Graefe, and Harumi Anne Kuno. Database Workload Management (Dagstuhl Seminar 12282). In Dagstuhl Reports, Volume 2, Issue 7, pp. 73-91, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)
https://doi.org/10.4230/DagRep.2.7.73
https://doi.org/10.4230/DagRep.2.7.73
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 12282 "Database Workload Management". Dagstuhl Seminar 12282 was designed to
provide a venue where researchers can engage in dialogue with industrial
participants for an in-depth exploration of challenging industrial
workloads, where industrial participants can challenge researchers to
apply the lessons-learned from their large-scale experiments to multiple
real systems, and that would facilitate the release of real workloads that can be used to drive future research, and concrete measures to evaluate and compare workload management techniques in the context of these workloads.
Keywords
- database workload management
- robust query processing
- cloud computing
- query execution
- hadoop
- application availability
- performance modeling
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