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 principles of in-memory data management on modern hardware and the integration of different hard- and software systems to meet business requirements. This involves studying the conceptual and technological aspects of modern enterprise applications as well as tools and methods for enterprise systems design.

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.

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

Thomas Bodner

Research Assistant, PhD Candidate

Email: thomas.bodner(at)hpi.de
Phone: +49 (331) 5509 - 3934
Address: August-Bebel-Str. 88, 14482 Potsdam
Office: Hasso Plattner Institute, Campus II, V 2.05
Office Hours: Just stop by or mail/call ahead for an appointment
Profiles: DBLP, LinkedIn

Research

Towards Cloud-based Enterprise Applications on Large Shared Datasets

Teaching

Winter 2019/20

Seminar - Develop your own Database

Summer 2019

Bachelor's Project - Usage Mining for the Enterprise, results presented at SAP TechEd 2019 Keynote
Lecture - Trends and Concepts in the Software Industry I

Supervised Master's Theses

Open

A Storage Engine for HTAP Workloads on Standard Columnar Data Formats
Efficient Database Checkpointing and Recovery with Shared Cloud Storage

Ongoing

Elastic Query Execution via Short-lived, Stateless Cloud Functions

Completed

Network Request Handling in Database Systems
Toni Stachewicz, 2019
Data-dependent Implicit Authorizations for Fine-grained Database Access Control
Dennis Hempfing, 2018
Pushing Down User-defined Functionality in Distributed Log-centric Big Data Stacks
Josephine Rückert (Technische Universität Ilmenau), 2017

Publications

Goel, A., Pound, J., Auch, N., Bumbulis, P., MacLean, S., Färber, F., Gropengiesser, F., Mathis, C., Bodner, T., Lehner, W.: Towards Scalable Real-time Analytics: An Architecture for Scale-out of OLXP Workloads. Proceedings of the VLDB Endowment. 8, 1716--1727 (2015).

[ Abstract ] [ BibTeX ] [ URL ]

We present an overview of our work on the SAP HANA Scale-out Extension, a novel distributed database architecture designed to support large scale analytics over real-time data. This platform permits high performance OLAP with massive scale-out capabilities, while concurrently allowing OLTP workloads. This dual capability enables analytics over real-time changing data and allows fine grained user-specified service level agreements (SLAs) on data freshness. We advocate the decoupling of core database components such as query processing, concurrency control, and persistence, a design choice made possible by advances in high-throughput low-latency networks and storage devices. We provide full ACID guarantees and build on a logical timestamp mechanism to provide MVCC-based snapshot isolation, while not requiring synchronous updates of replicas. Instead, we use asynchronous update propagation guaranteeing consistency with timestamp validation. We provide a view into the design and development of a large scale data management platform for real-time analytics, driven by the needs of modern enterprise customers.

@article{DBLP:journals/pvldb/GoelPABMFGMBL15, abstract = {We present an overview of our work on the SAP HANA Scale-out Extension, a novel distributed database architecture designed to support large scale analytics over real-time data. This platform permits high performance OLAP with massive scale-out capabilities, while concurrently allowing OLTP workloads. This dual capability enables analytics over real-time changing data and allows fine grained user-specified service level agreements (SLAs) on data freshness. We advocate the decoupling of core database components such as query processing, concurrency control, and persistence, a design choice made possible by advances in high-throughput low-latency networks and storage devices. We provide full ACID guarantees and build on a logical timestamp mechanism to provide MVCC-based snapshot isolation, while not requiring synchronous updates of replicas. Instead, we use asynchronous update propagation guaranteeing consistency with timestamp validation. We provide a view into the design and development of a large scale data management platform for real-time analytics, driven by the needs of modern enterprise customers.}, author = {Goel, Anil and Pound, Jeffrey and Auch, Nathan and Bumbulis, Peter and MacLean, Scott and Färber, Franz and Gropengiesser, Francis and Mathis, Christian and Bodner, Thomas and Lehner, Wolfgang}, journal = {Proceedings of the VLDB Endowment}, keywords = {distributed_database htap}, number = 12, pages = {1716--1727}, title = {Towards Scalable Real-time Analytics: An Architecture for Scale-out of OLXP Workloads}, volume = 8, year = 2015 }

Patents

Bumbulis, P., Pound, J., Auch, N., Goel, A., Ringwald, M., Bodner, T., MacLean, S.:
An Algorithm for Consistent Replication of Log-Structured Data.
US 2016 and EU 2017.

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

14.10.2019 | 2019 Bachelor's Project featured in SAP TechEd Keynote

The results of our 2019 Bachelor's project were featured in the keynote given by SAP Chief … > more

23.07.2019 | Presentation of 2019 Bachelor's Project

The students of the 2019 EPIC bachelor's project developed a platform that helps employees tackle … > more

12.06.2019 | Global Team-based Innovation Final Presentations

Another successful year of our course "Global Team-Based Innovation (GTI)" is coming to an end and … > more

25.02.2019 | Best Paper Award received at ICORES 2019

We are happy to announce that the paper "Stochastic Dynamic Pricing with Strategic Customers and … > 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.