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Berlin Institute for the Foundations of Learning and Data (BIFOLD)
The Berlin Institute for the Foundations of
Learning and Data (BIFOLD) conducts research on the foundations of Big
Data and Machine Learning. For this, BIFOLD brings together several
institutions and fosters their collaboration. The involved research
groups are conducting research on a wide range of topics in order to
yield solutions that have a considerable positive impact for society,
the economy, and science.
Our team conducts research on adaptive resource management as a means towards easy-to-use, yet also efficient and dependable distributed data-parallel processing. That is, we are generally passionate about systems and tools that automatically adapt to changing workloads and computing environments. In BIFOLD, we are specifically looking at adaptive monitoring, fault tolerance, and scheduling of continuous processing jobs in context of large-scale IoT systems. For this, we are developing and evaluating new methods for the adaptive usage of heterogeneous, distributed resources for the efficient processing of sensor data streams. The goal is to capture the key characteristics of constantly changing computing environments and workloads and have distributed processing systems adjust appropriately to major changes, so the required quality of service can be provided as far as possible and even in case of failures.
Further project information
- Funding: Federal Ministry of Education and Research
- Website: https://bifold.berlin/ 
+49 30 314-26260
Raum TEL 1210
+49 30 314-24539