Welcome to the website of the "Enterprise Platform and Integration Concepts" (EPIC) group.
Our activities are focused on the following research topics:

In-Memory Data Management for Enterprise Applications
Human-Centered Software Design and Engineering
In-Memory Data Management for Life Sciences

Our group includes PostDocs, PhD students, and student assistants, and is headed by Prof. Dr. Hasso Plattner. If you are interested in our work or want to join our team, please contact Dr. Matthias Uflacker.

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.

Our research focuses on the technical aspects of business software and the integration of different software systems to meet customer requirements. This involves studying the conceptual and technological aspects of in-memory databases, design principles, and programming methods for enterprise applications.

We continually strive to translate our research into practical outputs that improve the quality of enterprise applications. A close link to industry partners ensures relevance and impact of our work. Get here an overview of our current and previous projects.

Here you can find all the publications made by our research group.

Stefan Klauck

Research Assistant, PhD Student

Phone: +49 (331) 5509 - 1302
Fax: +49 (331) 97992 - 579
E-Mail: stefan.klauck(at)hpi.de
Address: August-Bebel-Str. 88 Potsdam, Brandenburg, 14482 Germany
Room: Hasso-Plattner-Villa, V-2.02

Teaching Activities

Publications

	Articles Books Conferences Proceedings Thesises Reports Miscellaneous
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1.	A Scalable Query Dispatcher for Hyrise-R Jan,Lindemann,Stefan Klauck,David Schwalb Proceedings of the Third HPI Cloud Symposium “Operating the Cloud” 2015, pages 25-32, 2016
2.	Scalability, Availability, and Elasticity through Database Replication in Hyrise-R Stefan Klauck Proceedings of the 4th HPI Cloud Symposium “Operating the Cloud” 2016, 2016 accepted
3.	Generic Business Simulation Using an In-Memory Column Store Lars Butzmann,Stefan Klauck,Stephan Müller,Matthias Uflacker,Hasso Plattner,Werner Sinzig Datenbanksysteme für Business, Technologie und Web (BTW), 16. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), 2015
4.	Using Object-Awareness to Optimize Join Processing in the SAP HANA Aggregate Cache Hasso Plattner,Stephan Müller,Anisoara Nica,Lars Butzmann,Stefan Klauck Proceedings of the 18th International Conference on Extending Database Technology (EDBT), Brussels, Belgium, 2015
5.	Interactive, Flexible, and Generic What-If Analyses Using In-Memory Column Stores Stefan Klauck, Lars Butzmann, Stephan Müller, Martin Faust, David Schwalb, Matthias Uflacker, Werner Sinzig, Hasso Plattner Proceedings of the 20th International Conference on Database Systems for Advanced Applications (DASFAA), Hanoi, Vietnam, 2015
6.	Hyrise-R: Scale-out and Hot-Standby through Lazy Master Replication for Enterprise Applications David Schwalb,Jan Kossmann, Martin Faust, Stefan Klauck, Matthias Uflacker, Hasso Plattner Proceedings of the 3rd VLDB Workshop on In-Memory Data Mangement and Analytics (IMDM), in conjunction with VLDB 2015 Kohala Coast, Hawaii, 2015
7.	Materialized View Maintenance Leveraging In-Memory Data Structures Stephan Müller,Lars Butzmann,Stefan Klauck,Hasso Plattner International Journal On Advances in Software, vol. 7, no. 3&4, 2014
8.	An Adaptive Aggregate Maintenance Approach for Mixed Workloads in Columnar In-Memory Databases Stephan Müller,Lars Butzmann,Stefan Klauck,Hasso Plattner Proceedings of the Thirty-Seventh Australasian Computer Science Conference (ACSC '14) - Volume 147, pages 3-12, 2014
9.	Efficient View Maintenance for Enterprise Applications in Columnar In-Memory Databases Stephan Müller,Lars Butzmann,Kai Höwelmeyer,Stefan Klauck,Hasso Plattner 17th IEEE International Enterprise Distributed Object Computing Conference (EDOC), Vancouver, Canada, 2013
10.	Workload-Aware Aggregate Maintenance in Columnar In-Memory Databases Stephan Müller,Lars Butzmann,Stefan Klauck,Hasso Plattner IEEE International Conference on Big Data (IEEE Big Data 2013), Silicon Valley, USA, 2013
11.	Available-To-Promise on an In-Memory Column Store Alexander Zeier,Hasso Plattner,Lars Butzmann,Stefan Klauck,Christian Tinnefeld,Stephan Müller Datenbanksysteme in Business, Technologie und Web (BTW 2011), 14. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), Proceedings, Kaiserslautern, Germany, 2011
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Chair of Prof. Hasso Plattner

Contact:

Dr. Matthias Uflacker

Chair Representative

Tel.: +49 (331) 5509-566

E-Mail: matthias.uflacker(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

News

11.05.2017 | Olelo published in NAR

Olelo published in NAR. Our biomedical question answering system Olelo has just been published in … > more

23.03.2017 | HPI Gesundheitscloud featured in SAP News

SAP News reports about the project "Gesundheitscloud" which is developed in our group. Read the … > more

10.03.2017 | Graduation of Stephan von Schorlemer

The staff of the EPIC chair congratulates Dr. Stephan von Schorlemer to successfully defending his … > more

23.01.2017 | GTI Student Teams go to Silicon Valley

GTI Design Teams go to Silicon Valley. At the start of the new year ten HPI students set off for … > more

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

We are proud to announce " 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.