Energy-Efficient Event Processing on Modern Hardware

• Applicant: Professor Dr. Bernhard Seeger
• Subject Area: Security and Dependability, Operating-, Communication- and Distributed Systems
• Term: since 2017
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 361498127

During the first phase of the priority programme, we developed a prototypical hybrid event processing and storage system. The system leverages multi-core CPUs and integrated GPUs for low latency processing of continuously arriving event data. Furthermore, we utilized flash-based storage devices to guarantee high ingestion rates needed to store large volume event streams in a specialized database system (ChronicleDB). For the second phase, we intend to continue this line of research while extending our focus towards a more comprehensive architectural approach for event data management on heterogeneous hardware. In particular, this extension aims to address three major aspects: general energy efficiency, energy-efficient GPU-acceleration, and optimizations for spatio-temporal operators.These extensions will result in an overall architecture suitable to handle a wide variety of modern day event applications.

• DFG Programme: Priority Programmes
• Subproject of: SPP 2037: Scalable Data Management on Future Hardware
• Co-Investigators: Professor Dr. Andreas Behrend; Professor Dr.-Ing. Kai-Uwe Sattler