Morgan Geldenhuys

According to our database, Morgan Geldenhuys authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization.

Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen

Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

2023

Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems.

Dominik Scheinert, Fabian Casares, Morgan K. Geldenhuys, Kevin Styp-Rekowski, Odej Kao

Proceedings of the IEEE International Conference on Cloud Engineering, 2023

2022

Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads.

Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen

Proceedings of the IEEE International Conference on Web Services, 2022

Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing.

Morgan Geldenhuys, Benjamin J. J. Pfister, Dominik Scheinert, Lauritz Thamsen, Odej Kao

Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

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

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

Proceedings of the IEEE International Performance, 2021

Evaluation of Load Prediction Techniques for Distributed Stream Processing.

Kain Kordian Gontarska, Morgan Geldenhuys, Dominik Scheinert, Philipp Wiesner, Andreas Polze, Lauritz Thamsen

Proceedings of the IEEE International Conference on Cloud Engineering, 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

Proceedings of the IEEE International Conference on Cloud Engineering, 2021

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

Proceedings of the Euro-Par 2021: Parallel Processing Workshops, 2021

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

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs.

Morgan K. Geldenhuys, Lauritz Thamsen, Odej Kao

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

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

Proceedings of the Advances in Database Technology, 2019

Effectively Testing System Configurations of Critical IoT Analytics Pipelines.

Morgan K. Geldenhuys, Lauritz Thamsen, Kain Kordian Gontarska, Felix Lorenz, Odej Kao

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019