Dr.-Ing. Peter Wägemann

Lehrstuhl für Informatik 4 (Systemsoftware)

Thinking small: next-generation sensor networks close the size gap in vertebrate biologging (2020) Ripperger S, Carter G, Page R, Duda N, Kölpin A, Weigel R, Hartmann M, et al. Journal article, Original article Energy-Constrained Real-Time Systems and Their Worst-Case Analyses (2020) Wägemann P Thesis Worst-case energy-consumption analysis by microarchitecture-aware timing analysis for device-driven cyber-physical systems (2019) Raffeck P, Eichler C, Wägemann P, Schröder-Preikschat W Conference contribution Asynchronous Abstract Machines: Anti-noise System Software for Many-core Processors (2019) Maier S, Hönig T, Wägemann P, Schröder-Preikschat W Conference contribution Combining Automated Measurement-Based Cost Modeling With Static Worst-Case Execution-Time and Energy-Consumption Analyses (2019) Sieh V, Burlacu R, Hönig T, Janker H, Raffeck P, Wägemann P, Schröder-Preikschat W Journal article GenEE: A Benchmark Generator for Static Analysis Tools of Energy-Constrained Cyber-Physical Systems (2019) Eichler C, Wägemann P, Schröder-Preikschat W Conference contribution Proving Real-Time Capability of Generic Operating Systems by System-Aware Timing Analysis (2019) Schuster S, Wägemann P, Ulbrich P, Schröder-Preikschat W Conference contribution, Original article BATS: Adaptive Ultra Low Power Sensor Network for Animal Tracking (2018) Duda N, Nowak T, Hartmann M, Schadhauser M, Cassens B, Wägemann P, Nabeel M, et al. Journal article, Original article Towards System-Wide Timing Analysis of Real-Time-Capable Operating Systems (2018) Schuster S, Ulbrich P, Wägemann P, Schröder-Preikschat W Conference contribution, Abstract of a poster Whole-System Worst-Case Energy-Consumption Analysis for Energy-Constrained Real-Time Systems (2018) Wägemann P, Dietrich C, Distler T, Ulbrich P, Schröder-Preikschat W Conference contribution