License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license (CC BY-NC-ND 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.2.7.73
URN: urn:nbn:de:0030-drops-37511
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2012/3751/
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Babu, Shivnath ; Graefe, Goetz ; Kuno, Harumi Anne
Weitere Beteiligte (Hrsg. etc.): Shivnath Babu and Goetz Graefe and Harumi Anne Kuno

Database Workload Management (Dagstuhl Seminar 12282)

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dagrep_v002_i007_p73_s12282.pdf (0.7 MB)


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.

BibTeX - Entry

@Article{babu_et_al:DR:2012:3751,
  author =	{Shivnath Babu and Goetz Graefe and Harumi Anne Kuno},
  title =	{{Database Workload Management (Dagstuhl Seminar 12282)}},
  pages =	{73--91},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2012},
  volume =	{2},
  number =	{7},
  editor =	{Shivnath Babu and Goetz Graefe and Harumi Anne Kuno},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2012/3751},
  URN =		{urn:nbn:de:0030-drops-37511},
  doi =		{10.4230/DagRep.2.7.73},
  annote =	{Keywords: database workload management, robust query processing, cloud computing, query execution, hadoop, application availability, performance modeling}
}

Keywords: database workload management, robust query processing, cloud computing, query execution, hadoop, application availability, performance modeling
Collection: Dagstuhl Reports, Volume 2, Issue 7
Issue Date: 2012
Date of publication: 21.12.2012


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