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 ]

News

22.09.2023 | Trends and Concepts in the Softwareindustry Seminar offered in WiSe 2023/2024

Trends and Concepts in the Softwareindustry Seminar offered in WiSe 2023/2024 > Zum Artikel

22.05.2023 | Christopher Hagedorn Successfully Defended His PhD Thesis

Christopher Hagedorn Successfully Defended His PhD Thesis > Zum Artikel

03.03.2023 | Last Trends and Concepts course of Prof. Hasso Plattner

After more than 20 years of teaching, our founder and benefactor Prof. Hasso Plattner visited the HPI this week for his … > Zum Artikel

01.03.2023 | Jan Kossmann Successfully Defended His PhD Thesis

Last week, Jan Kossmann another PhD student of our EPIC group successfully defended his thesis on the topic of … > Zum Artikel

26.02.2023 | Paper on Data Tiering in Hyrise Published in BTW Proceedings

Our latest paper on data tiering in Hyrise "Workload-Driven Data Placement for Tierless In-Memory Database Systems" by … > Zum Artikel

24.02.2023 | Paper on EPIC Research Group Published in SIGMOD Record

Our report “Enterprise Platform and Integration Concepts Research at HPI” has been published in the December issue of … > Zum Artikel

30.11.2022 | Paper on Database Optimizations for Spatio-Temporal Data published in PVLDB

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

04.10.2022 | Günter Hesse Successfully Defended His PhD Thesis

Last week, Günter Hesse another PhD student of our EPIC group successfully defended his thesis on the topic of "A … > Zum Artikel

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

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