Dagstuhl-Seminar 23441
Ensuring the Reliability and Robustness of Database Management Systems
( 29. Oct – 03. Nov, 2023 )
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Organisatoren
- Alexander Böhm (Google Germany - Schwetzingen, DE)
- Hannes Mühleisen (CWI - Amsterdam, NL)
- Danica Porobic (Oracle Switzerland - Zürich, CH)
- Manuel Rigger (National University of Singapore, SG)
Kontakt
- Andreas Dolzmann (für wissenschaftliche Fragen)
- Jutka Gasiorowski (für administrative Fragen)
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Gemeinsame Dokumente
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Programm
- Upload (Use personal credentials as created in DOOR to log in)
Database systems are an essential component of most software systems. It is crucial that they function correctly and operate efficiently. Achieving this is difficult, given that growing demands require increasingly sophisticated systems and adapting them to new hardware platforms.
Building on the success of the last seminar in this series, Dagstuhl Seminar 21442, the goal of this Dagstuhl Seminar is to advance the reliability of database systems by bringing together both practitioners as well as researchers working in this domain. We expect to discuss practices, approaches, and open challenges in making database systems and other data-centric systems more reliable (e.g., in terms of correctness, performance, or fault tolerance).
We plan to focus on the following sub-topics:
- Manual testing and test suites
- Automated testing for correctness and performance
- Isolation-level testing
- Benchmarking
- Database and query generation
- Debugging
- Query languages
- Formal methods and verification
While the first seminar in the series, Dagstuhl Seminar 21442, was open-ended, we plan for a more focused follow-up seminar with Dagstuhl Seminar 23441. Specifically, as a concrete tangible outcome of the seminar, we aim to brainstorm, write, and publish a manuscript on (1) best practices in ensuring database systems' reliability, (2) the state of the art on this topic in research, as well as (3) open challenges, which might also serve as the cornerstone of writing a book on this topic.
Creative Commons BY 4.0
Alexander Böhm, Hannes Mühleisen, Danica Porobic, and Manuel Rigger
- Jinsheng Ba (National University of Singapore, SG)
- Lawrence Benson (Hasso-Plattner-Institut, Universität Potsdam, DE)
- Carsten Binnig (TU Darmstadt, DE) [dblp]
- Alexander Böhm (Google Germany - Schwetzingen, DE) [dblp]
- Peter A. Boncz (CWI - Amsterdam, NL) [dblp]
- Ankush Desai (Amazon - Cupertino, US)
- Adam Dickinson (Snowflake Computing Inc. - Seattle, US)
- Wensheng Dou (Chinese Academy of Sciences - Beijing, CN)
- Stefania Dumbrava (ENSIIE - Paris, FR) [dblp]
- Moritz Eyssen (Snowflake - Berlin, DE)
- Torsten Grust (Universität Tübingen, DE) [dblp]
- Muhammad Ali Gulzar (Virginia Polytechnic Institute - Blacksburg, US)
- Denis Hirn (Universität Tübingen, DE)
- Hong Hu (Pennsylvania State University - University Park, US)
- Yu Jiang (Tsinghua University Beijing, CN)
- Zu-Ming Jiang (ETH Zürich, CH)
- Miryung Kim (University of California at Los Angeles, USA & Amazon Web Services - Palo Alto, USA) [dblp]
- Marcel Kost (Salesforce - München, DE) [dblp]
- Burcu Kulahcioglu Ozkan (TU Delft, NL) [dblp]
- Boaz Leskes (MotherDuck - Amsterdam, NL)
- Umang Mathur (National University of Singapore, SG)
- Everett Maus (Google - Seattle, US)
- Hannes Mühleisen (CWI - Amsterdam, NL) [dblp]
- Thomas Neumann (TU München - Garching, DE) [dblp]
- Nicolas Poggi (Databricks - Amsterdam, NL)
- Danica Porobic (Oracle Switzerland - Zürich, CH) [dblp]
- Mark Raasveldt (DuckDB Labs - Amsterdam, NL) [dblp]
- Tilmann Rabl (Hasso-Plattner-Institut, Universität Potsdam, DE) [dblp]
- Manuel Rigger (National University of Singapore, SG) [dblp]
- Stan Rosenberg (Cockroach Labs - New York, US)
- Anupam Sanghi (IBM India - Bangalore, IN) [dblp]
- Gambhir Sankalp (EPFL - Lausanne, CH)
- Andrei Satarin (Google - Mountain View, US)
- Thodoris Sotiropoulos (ETH Zürich, CH)
- Caleb Stanford (University of California - Davis, US) [dblp]
- Zhendong Su (ETH Zürich, CH) [dblp]
- Cheng Tan (Northeastern University - Boston, US)
- Pinar Tözün (IT University of Copenhagen, DK) [dblp]
- Yingjun Wu (RisingWave Labs - Santa Clara, US)
Verwandte Seminare
- Dagstuhl-Seminar 21442: Ensuring the Reliability and Robustness of Database Management Systems (2021-11-01 - 2021-11-04) (Details)
Klassifikation
- Databases
- Performance
- Software Engineering
Schlagworte
- database testing
- database reliability
- database benchmarking
