Search Results

Documents authored by Lee, Allison


Document
Robust Query Processing in the Cloud (Dagstuhl Seminar 24101)

Authors: Goetz Graefe, Allison Lee, and Caetano Sauer

Published in: Dagstuhl Reports, Volume 14, Issue 3 (2024)


Abstract
The Dagstuhl Seminar on "Robust Query Processing in the Cloud" (24101), held from March 3 to March 8, 2024, brought together researchers from academia and industry to discuss robustness in database management systems. This seminar was a continuation of previous seminars on the topic of Robust Query Processing, where we focused in particular on cloud computing and also discussed aspects 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 five working groups that discussed: i) robustness benchmarking, ii) economics of query processing in the cloud, iii) storage architectures, iv) out-of-memory query operators, and v) indexing for data warehousing.

Cite as

Goetz Graefe, Allison Lee, and Caetano Sauer. Robust Query Processing in the Cloud (Dagstuhl Seminar 24101). In Dagstuhl Reports, Volume 14, Issue 3, pp. 1-8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


Copy BibTex To Clipboard

@Article{graefe_et_al:DagRep.14.3.1,
  author =	{Graefe, Goetz and Lee, Allison and Sauer, Caetano},
  title =	{{Robust Query Processing in the Cloud (Dagstuhl Seminar 24101)}},
  pages =	{1--8},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{14},
  number =	{3},
  editor =	{Graefe, Goetz and Lee, Allison and Sauer, Caetano},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.3.1},
  URN =		{urn:nbn:de:0030-drops-211801},
  doi =		{10.4230/DagRep.14.3.1},
  annote =	{Keywords: database, execution, hardware, optimization, performance, query}
}
Document
Database Indexing and Query Processing (Dagstuhl Seminar 22111)

Authors: Renata Borovica-Gajic, Goetz Graefe, Allison Lee, Caetano Sauer, and Pinar Tözün

Published in: Dagstuhl Reports, Volume 12, Issue 3 (2022)


Abstract
The Dagstuhl Seminar 22111 on "Database indexing and query processing", held from March 13 to March 18 2022, brought together researchers from academia and industry to discuss robustness in database management systems. This seminar was a continuation of previous seminars on the topic of Robust Query Processing, where we included indexing as a general topic and also discussed aspects 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 three work groups that discussed: i) storage architectures, ii) robust operators, and iii) indexing for data warehousing.

Cite as

Renata Borovica-Gajic, Goetz Graefe, Allison Lee, Caetano Sauer, and Pinar Tözün. Database Indexing and Query Processing (Dagstuhl Seminar 22111). In Dagstuhl Reports, Volume 12, Issue 3, pp. 82-96, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)


Copy BibTex To Clipboard

@Article{borovicagajic_et_al:DagRep.12.3.82,
  author =	{Borovica-Gajic, Renata and Graefe, Goetz and Lee, Allison and Sauer, Caetano and T\"{o}z\"{u}n, Pinar},
  title =	{{Database Indexing and Query Processing (Dagstuhl Seminar 22111)}},
  pages =	{82--96},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2022},
  volume =	{12},
  number =	{3},
  editor =	{Borovica-Gajic, Renata and Graefe, Goetz and Lee, Allison and Sauer, Caetano and T\"{o}z\"{u}n, Pinar},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.12.3.82},
  URN =		{urn:nbn:de:0030-drops-172698},
  doi =		{10.4230/DagRep.12.3.82},
  annote =	{Keywords: database, execution, hardware, optimization, performance, query}
}
Document
Robust Performance in Database Query Processing (Dagstuhl Seminar 17222)

Authors: Renata Borovica-Gajic, Goetz Graefe, and Allison Lee

Published in: Dagstuhl Reports, Volume 7, Issue 5 (2018)


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

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)


Copy BibTex To Clipboard

@Article{borovicagajic_et_al:DagRep.7.5.169,
  author =	{Borovica-Gajic, Renata and Graefe, Goetz and Lee, Allison},
  title =	{{Robust Performance in Database Query Processing (Dagstuhl Seminar 17222)}},
  pages =	{169--180},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2017},
  volume =	{7},
  number =	{5},
  editor =	{Borovica-Gajic, Renata and Graefe, Goetz and Lee, Allison},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.7.5.169},
  URN =		{urn:nbn:de:0030-drops-82845},
  doi =		{10.4230/DagRep.7.5.169},
  annote =	{Keywords: Robust Query Performance, Database Management Systems, Adaptive Query Processing, Query Optimization, Query Execution, Updates, Parallelism, Data Skew}
}
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