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Effectively Testing System Configurations of Critical IoT Analytics Pipelines.

, , , , and . IEEE BigData, page 4157-4162. IEEE, (2019)

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Effectively Testing System Configurations of Critical IoT Analytics Pipelines., , , , and . IEEE BigData, page 4157-4162. IEEE, (2019)Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures., , , , , and . IC2E, page 244-250. IEEE, (2021)Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization., , , and . ICPE, page 142-153. ACM, (2024)Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems., , , , and . IC2E, page 202-211. IEEE, (2023)Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies., , , , and . CoRR, (2021)Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing., , , , and . CoRR, (2021)Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation., , , , , , and . IPCCC, page 1-8. IEEE, (2021)Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads., , , and . ICWS, page 198-207. IEEE, (2022)Rafiki: Task-Level Capacity Planning in Distributed Stream Processing Systems., , , , , , , and . Euro-Par Workshops, volume 13098 of Lecture Notes in Computer Science, page 352-363. Springer, (2021)Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs., , and . IEEE BigData, page 434-440. IEEE, (2020)