The workshop program is online.
Keynote: DBTest 2018 will feature a keynote presentation from
Manasi Joshi, Google
Manasi Joshi is a Director of Software Engineering at Google. She is leading the ML Productivity effort with close collaborations across Tensorflow, Cloud, Applied Research and product engagement efforts in Google. Prior to this role, Manasi has a long tenure as an engineering productivity lead in Google’s Display Ads infrastructure team.
on Machine Learning Testing and Productivity
With the ever increasing amount of data stored and processed, there is an ongoing need of testing database management systems but also data-intensive systems in general. Specifically, emerging new technologies such as Non-Volatile Memory impose new challenges (e.g., avoiding persistent memory leaks and partial writes), and novel system designs including FPGAs, GPUs, and RDMA call for additional attention and sophistication.
Reviving the previous success of the six previous workshops, the goal of DBTest 2017 is to bring researchers and practitioners from academia and industry together to discuss key problems and ideas related to testing database systems and applications. The long-term objective is to reduce the cost and time required to test and tune data management and processing products so that users and vendors can spend more time and energy on actual innovations.
The workshop focusses on the following topics:
Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum.
Papers must follow the most recent ACM Proceedings Format.
Papers submitted can be between four and six pages in length, including references and appendix.
Submissions will be handled through Easy Chair
Timeline will be:
Publication of all workshop papers: Proceedings of the Workshop on Testing Database Systems
|8:15||Core DBMS||Get Real: How Benchmarks Fail to Represent the Real World||Adrian Vogelsgesang, Michael Haubenschild, Jan Finis, Alfons Kemper, Viktor Leis, Tobias Muehlbauer, Thomas Neumann and Manuel Then|
|Fair Benchmarking Considered Difficult: Common Pitfalls In Database Performance Testing||Mark Raasveldt, Pedro Holanda, Tim Gubner and Hannes Mühleisen|
|Finding the Pitfalls in Query Performance||Martin Kersten, Panos Koutsourakis and Ying Zhang|
|9:15||Cloud and Big Data||Snowtrail: Testing with Production Queries on a Cloud Database||Jiaqi Yan, Qiuye Jin, Shrainik Jain, Stratis Viglas and Allison Lee|
|Performance of Containerized Database Management Systems||Kim-Thomas Rehmann and Enno Folkerts|
|Adding Velocity to BigBench||Todor Ivanov, Patrick Bedué, Ahmad Ghazal and Roberto V. Zicari|
|10:10||Sponsor Talks||Capturing bugs in extreme stress testing: Improving software quality in SAP HANA with Undo||Greg Law, Undo; Stefan Bäuerle, SAP SE|
|11:00||Keynote||Machine Learning Testing and Productivity||Manasi Joshi|
|11:45||Modern Hardware and New Scenarios||Generating Evolving Property Graphs with Attribute-Aware Preferential Attachment||Amir Aghasadeghi and Julia Stoyanovich|
|Make Larger Vector Register Sizes New Challenges||Dirk Habich and Wolfgang Lehner|
|15:00 - 16:00||Poster Session|