Effectively Testing System Configurations of Critical IoT Analytics Pipelines. - Morgan K. Geldenhuys; Lauritz Thamsen; Kain Kordian Gontarska; Felix Lorenz; Odej Kao (IEEE BigData, 2019)

Resense: Transparent Record and Replay of Sensor Data in the Internet of Things. - Dimitrios Giouroukis; Julius Hülsmann; Janis von Bleichert; Morgan Geldenhuys; Tim Stullich; Felipe Oliveira Gutierrez; Jonas Traub; Kaustubh Beedkar; Volker Markl (EDBT, 2019)

Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs. - Morgan K. Geldenhuys; Lauritz Thamsen; Odej Kao (IEEE BigData, 2020)

A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring. - Felix Lorenz; Morgan Geldenhuys; Harald Sommer; Frauke Jakobs; Carsten Lüring; Volker Skwarek; Ilja Behnke; Lauritz Thamsen (IEEE BigData, 2020)

Rafiki: Task-Level Capacity Planning in Distributed Stream Processing Systems. - Benjamin J. J. Pfister; Wolf S. Lickefett; Jan Nitschke; Sumit Paul; Morgan K. Geldenhuys; Dominik Scheinert; Kain Kordian Gontarska; Lauritz Thamsen (Euro-Par Workshops, 2021)

Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures. - Morgan K. Geldenhuys; Jonathan Will; Benjamin J. J. Pfister; Martin Haug; Alexander Scharmann; Lauritz Thamsen (IC2E, 2021)

Evaluation of Load Prediction Techniques for Distributed Stream Processing. - Kain Kordian Gontarska; Morgan Geldenhuys; Dominik Scheinert; Philipp Wiesner; Andreas Polze; Lauritz Thamsen (IC2E, 2021)

Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation. - Dominik Scheinert; Houkun Zhu; Lauritz Thamsen; Morgan K. Geldenhuys; Jonathan Will; Alexander Acker; Odej Kao (IPCCC, 2021)

Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies. - Dominik Scheinert; Alexander Acker; Lauritz Thamsen; Morgan K. Geldenhuys; Odej Kao (CoRR, 2021)

Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing. - Morgan Geldenhuys; Benjamin J. J. Pfister; Dominik Scheinert; Lauritz Thamsen; Odej Kao (FedCSIS, 2022)

Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads. - Morgan K. Geldenhuys; Dominik Scheinert; Odej Kao; Lauritz Thamsen (ICWS, 2022)

Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems. - Dominik Scheinert; Fabian Casares; Morgan K. Geldenhuys; Kevin Styp-Rekowski; Odej Kao (IC2E, 2023)

Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization. - Morgan K. Geldenhuys; Dominik Scheinert; Odej Kao; Lauritz Thamsen (ICPE, 2024)

Daedalus: Self-Adaptive Horizontal Autoscaling for Resource Efficiency of Distributed Stream Processing Systems. - Benjamin J. J. Pfister; Dominik Scheinert; Morgan K. Geldenhuys; Odej Kao (ICPE, 2024)