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Documents authored by Graefe, Goetz

Document
DOI: 10.4230/DagRep.14.3.1
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)

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@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
DOI: 10.4230/DagRep.12.3.82
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)

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@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
DOI: 10.4230/DagRep.8.6.63
Database Architectures for Modern Hardware (Dagstuhl Seminar 18251)

Authors: Peter A. Boncz, Goetz Graefe, Binsheng He, and Kai-Uwe Sattler

Published in: Dagstuhl Reports, Volume 8, Issue 6 (2019)

Abstract
The requirements of emerging applications on the one hand and the trends in computing hardware and systems on the other hand demand a fundamental rethinking of current data management architectures. Based on the broad consensus that this rethinking requires expertise from different research disciplines, the goal of this seminar was to bring together researchers and practitioners from these areas representing both the software and hardware sides and to foster cross-cutting architectural discussions. The outcome of this seminar was not only an identification of promising hardware technologies and their exploitation in data management systems but also a set of use cases, studies, and experiments for new architectural concepts.
Cite as

Peter A. Boncz, Goetz Graefe, Binsheng He, and Kai-Uwe Sattler. Database Architectures for Modern Hardware (Dagstuhl Seminar 18251). In Dagstuhl Reports, Volume 8, Issue 6, pp. 63-76, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@Article{boncz_et_al:DagRep.8.6.63,
  author =	{Boncz, Peter A. and Graefe, Goetz and He, Binsheng and Sattler, Kai-Uwe},
  title =	{{Database Architectures for Modern Hardware (Dagstuhl Seminar 18251)}},
  pages =	{63--76},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2019},
  volume =	{8},
  number =	{6},
  editor =	{Boncz, Peter A. and Graefe, Goetz and He, Binsheng and Sattler, Kai-Uwe},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.8.6.63},
  URN =		{urn:nbn:de:0030-drops-100561},
  doi =		{10.4230/DagRep.8.6.63},
  annote =	{Keywords: co-processors, computer architecture, database systems, hardware support for databases, non-volatile memory}
}
Document
DOI: 10.4230/DagRep.7.5.169
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)

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@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}
}
Document
DOI: 10.4230/DagRep.2.7.73
Database Workload Management (Dagstuhl Seminar 12282)

Authors: Shivnath Babu, Goetz Graefe, and Harumi Anne Kuno

Published in: Dagstuhl Reports, Volume 2, Issue 7 (2013)

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.
Cite as

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)

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@Article{babu_et_al:DagRep.2.7.73,
  author =	{Babu, Shivnath and Graefe, Goetz and Kuno, Harumi Anne},
  title =	{{Database Workload Management (Dagstuhl Seminar 12282)}},
  pages =	{73--91},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2012},
  volume =	{2},
  number =	{7},
  editor =	{Babu, Shivnath and Graefe, Goetz and Kuno, Harumi Anne},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.2.7.73},
  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}
}
Document
DOI: 10.4230/DagRep.2.8.1
Robust Query Processing (Dagstuhl Seminar 12321)

Authors: Goetz Graefe, Wey Guy, Harumi Anne Kuno, and Glenn Paullley

Published in: Dagstuhl Reports, Volume 2, Issue 8 (2013)

Abstract
The 2012 Dagstuhl 12321 Workshop on Robust Query Processing, held from 5--10 August 2012, brought together researchers from both academia and industry to discuss various aspects of robustness in database management systems and ideas for future research. The Workshop was designed as a sequel to an earlier Workshop, Dagstuhl Workshop 10381, that studied a similar set of topics. In this article we summarize some of the main discussion topics of the 12321 Workshop, the results to date, and some open problems that remain.
Cite as

Goetz Graefe, Wey Guy, Harumi Anne Kuno, and Glenn Paullley. Robust Query Processing (Dagstuhl Seminar 12321). In Dagstuhl Reports, Volume 2, Issue 8, pp. 1-15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)

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@Article{graefe_et_al:DagRep.2.8.1,
  author =	{Graefe, Goetz and Guy, Wey and Kuno, Harumi Anne and Paullley, Glenn},
  title =	{{Robust Query Processing (Dagstuhl Seminar 12321)}},
  pages =	{1--15},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2012},
  volume =	{2},
  number =	{8},
  editor =	{Graefe, Goetz and Guy, Wey and Kuno, Harumi Anne and Paullley, Glenn},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.2.8.1},
  URN =		{urn:nbn:de:0030-drops-37541},
  doi =		{10.4230/DagRep.2.8.1},
  annote =	{Keywords: robust query processing, adaptive query optimization, query execution, indexing, workload management, reliability, application availability}
}
Document
DOI: 10.4230/DagSemProc.08281.1
08281 Abstracts Collection – Software Engineering for Trailor-made Data Management

Authors: Sven Apel, Don Batory, Goetz Graefe, Gunter Saake, and Olaf Spinczyk

Published in: Dagstuhl Seminar Proceedings, Volume 8281, Software Engineering for Tailor-made Data Management (2008)

Abstract
From July 6th to July 11th, 2008, the Dagstuhl Seminar 08281 ``Software Engineering for Tailor-made Data Management'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Cite as

Sven Apel, Don Batory, Goetz Graefe, Gunter Saake, and Olaf Spinczyk. 08281 Abstracts Collection – Software Engineering for Trailor-made Data Management. In Software Engineering for Tailor-made Data Management. Dagstuhl Seminar Proceedings, Volume 8281, pp. 1-13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{apel_et_al:DagSemProc.08281.1,
  author =	{Apel, Sven and Batory, Don and Graefe, Goetz and Saake, Gunter and Spinczyk, Olaf},
  title =	{{08281  Abstracts Collection – Software Engineering for Trailor-made Data Management}},
  booktitle =	{Software Engineering for Tailor-made Data Management},
  pages =	{1--13},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8281},
  editor =	{Sven Apel and Don Batory and Goetz Graefe and Gunter Saake and Olaf Spynczyk},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08281.1},
  URN =		{urn:nbn:de:0030-drops-15796},
  doi =		{10.4230/DagSemProc.08281.1},
  annote =	{Keywords: Software Engineering, Data Management, Software Product Lines, Embedded Systems}
}
Document
DOI: 10.4230/DagSemProc.08281.2
08281 Executive Summary – Software Engineering for Tailor-made Data Management

Authors: Sven Apel, Don Batory, Goetz Graefe, Gunter Saake, and Olaf Spinczyk

Published in: Dagstuhl Seminar Proceedings, Volume 8281, Software Engineering for Tailor-made Data Management (2008)

Abstract
Tailor-made data management software (DMS) is not only important in the field of embedded systems. DMS that incorporates only features that are required bear the potential to strip down the code base and to improve reliability and maintainability. In the past 20 years several new technologies have emerged that aim at lean, efficient, and well-structured software, which should also be applicable to DMS. In the Dagstuhl Seminar ``Software Engineering for Tailor-made Data Management'', July 6h to July 11th, 2008, 29 researchers from 7 countries discussed the development, application, and assessment of these new technologies in the context of DMS.
Cite as

Sven Apel, Don Batory, Goetz Graefe, Gunter Saake, and Olaf Spinczyk. 08281 Executive Summary – Software Engineering for Tailor-made Data Management. In Software Engineering for Tailor-made Data Management. Dagstuhl Seminar Proceedings, Volume 8281, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{apel_et_al:DagSemProc.08281.2,
  author =	{Apel, Sven and Batory, Don and Graefe, Goetz and Saake, Gunter and Spinczyk, Olaf},
  title =	{{08281 Executive Summary – Software Engineering for Tailor-made Data Management}},
  booktitle =	{Software Engineering for Tailor-made Data Management},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8281},
  editor =	{Sven Apel and Don Batory and Goetz Graefe and Gunter Saake and Olaf Spynczyk},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08281.2},
  URN =		{urn:nbn:de:0030-drops-15780},
  doi =		{10.4230/DagSemProc.08281.2},
  annote =	{Keywords: Software Engineering, Data Management, Tailoring, Embedded Systems}
}
Document
DOI: 10.4230/DagSemProc.05421.3
B-tree indexes for high update rates

Authors: Goetz Graefe

Published in: Dagstuhl Seminar Proceedings, Volume 5421, Data Always and Everywhere - Management of Mobile, Ubiquitous, Pervasive, and Sensor Data (2006)

Abstract
In some applications, data capture dominates query processing. For example, monitoring moving objects often requires more insertions and updates than queries. Data gathering using automated sensors often exhibits this imbalance. More generally, indexing streams apparently is considered an unsolved problem. For those applications, B-tree indexes are reasonable choices if some trade-off decisions are tilted towards optimization of updates rather than of queries. This paper surveys techniques that let B-trees sustain very high update rates, up to multiple orders of magnitude higher than tradi-tional B-trees, at the expense of query processing performance. Perhaps not surprisingly, some of these techniques are reminiscent of those employed during index creation, index rebuild, etc., while others are derived from other well known technologies such as differential files and log-structured file systems.
Cite as

Goetz Graefe. B-tree indexes for high update rates. In Data Always and Everywhere - Management of Mobile, Ubiquitous, Pervasive, and Sensor Data. Dagstuhl Seminar Proceedings, Volume 5421, pp. 1-7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{graefe:DagSemProc.05421.3,
  author =	{Graefe, Goetz},
  title =	{{B-tree indexes for high update rates}},
  booktitle =	{Data Always and Everywhere - Management of Mobile, Ubiquitous, Pervasive, and Sensor Data},
  pages =	{1--7},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5421},
  editor =	{Gustavo Alonso and Christian S. Jensen and Bernhard Mitschang},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05421.3},
  URN =		{urn:nbn:de:0030-drops-7632},
  doi =		{10.4230/DagSemProc.05421.3},
  annote =	{Keywords: B-tree, high update rates}
}
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