Dependable iot data stream processing for monitoring and control of urban infrastructures MK Geldenhuys, J Will, BJJ Pfister, M Haug, A Scharmann, L Thamsen 2021 IEEE International Conference on Cloud Engineering (IC2E), 244-250, 2021 | 16 | 2021 |
Learning dependencies in distributed cloud applications to identify and localize anomalies D Scheinert, A Acker, L Thamsen, MK Geldenhuys, O Kao 2021 IEEE/ACM International Workshop on Cloud Intelligence …, 2021 | 16 | 2021 |
Resense: Transparent record and replay of sensor data in the Internet of Things D Giouroukis, J Hülsmann, J von Bleichert, M Geldenhuys, T Stullich, ... 22nd International Conference on Extending Database Technology (EDBT), 2019 | 14 | 2019 |
Effectively testing system configurations of critical iot analytics pipelines MK Geldenhuys, L Thamsen, KK Gontarskay, F Lorenz, O Kao 2019 IEEE International Conference on Big Data (Big Data), 4157-4162, 2019 | 11 | 2019 |
Enel: Context-aware dynamic scaling of distributed dataflow jobs using graph propagation D Scheinert, H Zhu, L Thamsen, MK Geldenhuys, J Will, A Acker, O Kao 2021 IEEE International Performance, Computing, and Communications …, 2021 | 10 | 2021 |
Chiron: Optimizing fault tolerance in qos-aware distributed stream processing jobs MK Geldenhuys, L Thamsen, O Kao 2020 IEEE International Conference on Big Data (Big Data), 434-440, 2020 | 9 | 2020 |
Khaos: Dynamically optimizing checkpointing for dependable distributed stream processing MK Geldenhuys, BJJ Pfister, D Scheinert, L Thamsen, O Kao 2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS …, 2022 | 8 | 2022 |
Evaluation of load prediction techniques for distributed stream processing K Gontarska, M Geldenhuys, D Scheinert, P Wiesner, A Polze, L Thamsen 2021 IEEE International Conference on Cloud Engineering (IC2E), 91-98, 2021 | 8 | 2021 |
A scalable and dependable data analytics platform for water infrastructure monitoring F Lorenz, M Geldenhuys, H Sommer, F Jakobs, C Lüring, V Skwarek, ... 2020 IEEE International Conference on Big Data (Big Data), 3488-3493, 2020 | 7 | 2020 |
Phoebe: Qos-aware distributed stream processing through anticipating dynamic workloads MK Geldenhuys, D Scheinert, O Kao, L Thamsen 2022 IEEE International Conference on Web Services (ICWS), 198-207, 2022 | 6 | 2022 |
The Electronic Bee Spy: Eavesdropping on Honeybee Communication via Electrostatic Field Recordings BH Paffhausen, J Petrasch, U Greggers, A Duer, Z Wang, S Menzel, ... Frontiers in Behavioral Neuroscience 15, 647224, 2021 | 6 | 2021 |
Rafiki: Task-level capacity planning in distributed stream processing systems BJJ Pfister, WS Lickefett, J Nitschke, S Paul, MK Geldenhuys, D Scheinert, ... European Conference on Parallel Processing, 352-363, 2021 | 2 | 2021 |
Daedalus: Self-Adaptive Horizontal Autoscaling for Resource Efficiency of Distributed Stream Processing Systems BJJ Pfister, D Scheinert, MK Geldenhuys, O Kao Proceedings of the 15th ACM/SPEC International Conference on Performance …, 2024 | 1 | 2024 |
Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization MK Geldenhuys, D Scheinert, O Kao, L Thamsen Proceedings of the 15th ACM/SPEC International Conference on Performance …, 2024 | | 2024 |
Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems D Scheinert, F Casares, MK Geldenhuys, K Styp-Rekowski, O Kao 2023 IEEE International Conference on Cloud Engineering (IC2E), 202-211, 2023 | | 2023 |
in the Internet of Things D Giouroukis, J Hülsmann, J von Bleichert, M Geldenhuys, T Stullich, ... | | 2019 |
IC2E 2021 J Bader, I Behnke, M Geldenhuys, J Hasenburg, S Henning, ... | | |