Distributed Data Stream Processing in Heterogeneous Environments
Heterogeneous Data Streams, Distributed Fog and Edge Environments, IoT Data and Application Management
Dr. Steffen Zeuch and his Research Training Group concentrate on developing a data management system for the processing of heterogeneous data streams in distributed fog and edge environments. An explosion in both the number and types of connected devices will create novel data-driven applications in the near future. These applications require low-latency, location awareness, wide-spread geographical distribution, and real-time data processing on potentially millions of distributed data sources and potentially millions of simultaneous data processing operations. In some cases these applications have to operate under tight resource constraints with respect to bandwidth, processing power, and energy consumption. The aim is to design a data management system that unifies cloud, fog and sensor environments at an unprecedented scale. This system should host these environments on a unified platform and leverage the opportunities of the unified architecture for cross-paradigm data processing optimizations, to support emerging IoT applications. In order to achieve that, they will collaborate with the members of BIFOLD’s Data and Application Management for the Internet of Things Lab (IoT-Lab).
Incremental Stream Query Merging
Workload Prediction for IoT Data Management Systems
Photo recap: BIFOLD New Year's reception
At its New Year's reception BIFOLD welcomed a series of distinguished guests and friends from Berlin's AI community.
Photo recap: All Hands Meeting 2023
On October 9 and 10, 2023, BIFOLD welcomed the other Geman AI centers (ScaDS.AI Dresden/Leipzig, Lamarr Institute, Tübingen AI Center, MCML, and the DFKI) in Berlin. The annual meeting featured guests, partners, visitors, and researchers from all over Germany.
AI centers are the foundation of the German AI ecosystem
On October 9th and 10th, 2023, the Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin invited scientists from the university AI competence centers (BIFOLD, ScaDS.AI Dresden/Leipzig, Lamarr Institute, Tübingen AI Center, and MCML) and the DFKI to Berlin to present and discuss the latest results of their research on the EUREF campus.
Research Group Lead
Doctoral Researcher
Doctoral Researcher