Research Area B: Abstractions for DAW Execution Infrastructures

This research area comprises six subprojects that research novel abstractions for the computational infrastructures underlying a DAW engine, which encompasses DAW execution engines, schedulers, resource managers, and configuration of the underlying network. The focus of subprojects in this area is on improving PAD compliance of infrastructures and DAW execution engines.

B1: Scheduling and Adaptive Execution of Data Analysis Workflows across Heterogeneous Infrastructures (Kao, Meyerhenke)

B2: Portable and Adaptive Data Analysis Workflows for Real-Time 3D Vision (Eisert, Koch)

B3: Debugging Distributed Data Analysis Workflows (Kehrer, Markl)

B4: Exploiting Software-Defined Networks for Efficient Data Management in Next-Generation Data Analysis Workflows (Reinefeld, Scheuermann)

B5: Adaptive, Distributed and Scalable Analysis of Massive Satellite Data (Hostert, Leser)

B6: Distributed Run-Time Monitoring and Control of Data Analysis Workflows (Grunske, Rabl)