Ariane Ziehn
Ariane Ziehn
Doctoral Researcher
Affiliation: BIFOLD
Ariane Ziehn is a Ph.D. candidate at the DIMA group. She received her M.Sc. in Information Systems Management at TU Berlin with a focus on distributed systems as well as data and software engineering.
- Distributed systems
- Complex event processing
- IoT environments
Ariane Ziehn, Jan Szlang, Steffen Zeuch, Volker Markl
Unraveling the Impact of Window Semantics: Optimizing Join Order for Efficient Stream Processing
Adrian Michalke, Aljoscha Lepping, Volker Markl, Ricardo Martinez, Nils Schubert, Lukas Schwerdtfeger, Taha Tekdogan, Steffen Zeuch, Ariane Ziehn, Christoph Falkensteiner, Kyle Krüger, Alexander Meyer, Tobias Röschl, Svea Wilkending
NebulaStream: An Extensible, High-Performance Streaming Engine for Multi-Modal Edge Applications
Ariane Ziehn, Lily Seidl, Samira Akili, Steffen Zeuch, Volker Markl
Enabling Complex Event Processing in NebulaStream
Steffen Zeuch, Ankit Chaudhary, Viktor Rosenfeld, Taha Tekdogan, Adrian Michalke, Matthis Gördel, Ariane Ziehn, Volker Markl
Using and Enhancing NebulaStream - A Tutorial
Ariane Ziehn, Philipp M. Grulich, Steffen Zeuch, Volker Markl
Bridging the Gap: Complex Event Processing on Stream Processing Engines
Girls' Day: dEIn Labor and BIFOLD offer AI workshop
TU Berlin is once again participating in this year's "Girls' Day" on April 25, 2024. dEIn Labor and BIFOLD offer a workshop for schoolgirls from the age of 15.
EDBT conference 2024
The EDBT conference 2024 took place from March 25 to 28. BIFOLD researchers presented three papers at this Core-A conference on databases: "Benchmarking Stream Join Algorithms on GPUs: A Framework and its Application to the State of the Art", "Bridging the Gap: Complex Event Processing on Stream Processing Engines", and “Evaluation of Sampling Methods for Discovering Facts from Knowledge Graph Embeddings”.
TU Berlin and DFKI database systems researchers offer multiple presentations at VLDB 2020
Researchers at TU Berlin Database Systems and Information Management (DIMA) group and Intelligent Analytics for Massive Data (IAM) group at DFKI presented one full paper, one demo paper and three PhD thesis papers at the 46th International Conference on Very Large Databases (VLDB 2020).