Our team is giving a series of lectures and seminars with a focus on enterprise systems design and in-memory data management. Strong links to the industry ensure a close connection between theory and its implementation in the real world.

If you are having questions regarding one of our publications, please contact the authors.

David Justen

Research Assistant, PhD Student

Email: david.justen(at)hpi.de
Phone: +49 (331) 5509 - 3461
Address: August-Bebel-Str. 88, 14482 Potsdam
Office: Campus II, V 2.02
Profiles: DBLP, GitHub, LinkedIn

Research Area: Autonomous Data Management

Research

My research focuses on cloud-based analytics systems. Specifically, I investigate how to quantify and improve the performance robustness of query processors with a fully disaggregated architecture.

Publications

Justen, D.: Cost-efficiency and Performance Robustness in Serverless Data Exchange In: Proceedings of the 2022 International Conference on Management of Data (SIGMOD ’22), Student Research Competition. pp. 2506–2508. Association for Computing Machinery, New York, NY, USA (2022)

[ BibTeX ] [ URL ]

Open Positions

We are accepting applications for Ph.D. and post-doc positions from exceptional candidates
We welcome highly motivated Bachelor and Master students to join our research projects

08.07.2022 | Successful PhD Defense by Markus Dreseler

Markus Dreseler has successfully defended his PhD thesis on Automatic Tiering for In-Memory Database Systems. > Zum Artikel

03.06.2022 | COMPSYS 2022 Best Paper Award

Our paper "Separated Allocator Metadata in Disaggregated In-Memory Databases: Friend or Foe?" by Marcel Weisgut, Daniel … > Zum Artikel

28.04.2022 | Paper on EPIC research group published in GI Datenbankspektrum

Our paper “Das Fachgebiet „Enterprise Platform and Integration Concepts“ am Hasso-Plattner-Institut” has been published … > Zum Artikel

05.04.2022 | Paper on Robust Encoding Selection published in PVLDB

Our paper “Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems” has been published in … > Zum Artikel

01.04.2022 | EPIC Group at Dagstuhl Seminar on Database Indexing and Query Processing

We are happy to announce that Ralf Teusner successfully defended his thesis “Situational Interventions and Peer Feedback … > Zum Artikel

21.02.2022 | SWIRL: Selection of Workload-aware Indexes using RL accepted @ EDBT 2022

Our latest paper by Jan Kossmann, Alexander Kastius, and Rainer Schlosser proposes to use Reinforcement Learning for … > Zum Artikel

20.12.2021 | ACM Senior Membership Award for Michael Perscheid

We’re happy to share that Michael Perscheid has been awarded with a Senior Membership Award from the Association for … > Zum Artikel

Literature

"A Course in In-Memory Data Management" by Prof. Dr. h.c. Hasso Plattner. This book is the culmination of six years work of in-memory research. As such, it provides the technical foundation for combined transactional and analytical workloads inside one single database as well as examples of new applications that are now possible given the availability of the new technology. The book is available at Springer.

Contact

Dr. Michael Perscheid

Chair Representative

Tel.: +49 (331) 5509-566

E-Mail: michael.perscheid(at)hpi.de

Office:

Room: V-2.12

Tel.: +49 (331) 5509-560

Fax: +49 (331) 5509-579

E-Mail: office-epic(at)hpi.de

Contact Details