Dominik Scheinert

74 papers A 3B 13C 8Journal 37Unranked 12
YearRankTypeTitle / Venue / Authors
2026 — conf
Beyond Microservices: Testing Web-Scale RCA Methods on GPU-Driven LLM Workloads.
ICPE Companion
Dominik Scheinert, Alexander Acker, Thorsten Wittkopp, Soeren Becker, Hamza Yous, Karnakar Reddy, Ibrahim Farhat, Hakim Hacid, Odej Kao
2026 J jnl
Beyond Microservices: Testing Web-Scale RCA Methods on GPU-Driven LLM Workloads.
CoRR
Dominik Scheinert, Alexander Acker, Thorsten Wittkopp, Sören Becker, Hamza Yous, Karnakar Reddy, Ibrahim Farhat, Hakim Hacid, Odej Kao
2026 J jnl
Distributed LLM Pretraining During Renewable Curtailment Windows: A Feasibility Study.
CoRR
Philipp Wiesner, Sören Becker, Brett Cornick, Dominik Scheinert, Alexander Acker, Odej Kao
2025 C conf
Adaptive LLM Routing for Scientific Workflows: Predicting Query Complexity to Optimize Cost.
IPCCC
Jonas Thierfeldt, Dominik Scheinert, Thorsten Wittkopp, Odej Kao
2025 J jnl
Distributed Low-Communication Training with Decoupled Momentum Optimization.
CoRR
Sasho Nedelkoski, Alexander Acker, Odej Kao, Sören Becker, Dominik Scheinert
2025 — conf
From Intentions to Actions: Workflow Generation with LLMs for Robots.
FLLM
Justus Flerlage, Alexander Acker, Dominik Scheinert, Soeren Becker, Hamza Yous, Karnakar Reddy, Ibrahim Farhat, Hakim Hacid, Odej Kao
2025 J jnl
What happens when nanochat meets DiLoCo?
CoRR
Alexander Acker, Sören Becker, Sasho Nedelkoski, Dominik Scheinert, Odej Kao, Philipp Wiesner
2024 B conf
Challenges and Future Directions in Similarity Assessment of Big Data Analytics Workloads.
IEEE Big Data
Dominik Scheinert, Alexander Guttenberger, Jonathan Will, Odej Kao
2024 B conf
Daedalus: Self-Adaptive Horizontal Autoscaling for Resource Efficiency of Distributed Stream Processing Systems.
ICPE
Benjamin J. J. Pfister, Dominik Scheinert, Morgan K. Geldenhuys, Odej Kao
2024 J jnl
Daedalus: Self-Adaptive Horizontal Autoscaling for Resource Efficiency of Distributed Stream Processing Systems.
CoRR
Benjamin J. J. Pfister, Dominik Scheinert, Morgan K. Geldenhuys, Odej Kao
2024 B conf
Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization.
ICPE
Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen
2024 J jnl
Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization.
CoRR
Morgan Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen
2024 — —
Methods for the adaptive provisioning of resources to iterative batch jobs.
Dominik Scheinert
2024 — conf
Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance Modeling.
ICPE (Companion)
Jonathan Will, Dominik Scheinert, Seraphin Zunzer, Jan Bode, Cedric Kring, Lauritz Thamsen
2024 J jnl
Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance Modeling.
CoRR
Jonathan Will, Dominik Scheinert, Jan Bode, Cedric Kring, Seraphin Zunzer, Lauritz Thamsen
2024 C conf
Sizey: Memory-Efficient Execution of Scientific Workflow Tasks.
CLUSTER
Jonathan Bader, Fabian Skalski, Fabian Lehmann, Dominik Scheinert, Jonathan Will, Lauritz Thamsen, Odej Kao
2024 J jnl
Sizey: Memory-Efficient Execution of Scientific Workflow Tasks.
CoRR
Jonathan Bader, Fabian Skalski, Fabian Lehmann, Dominik Scheinert, Jonathan Will, Lauritz Thamsen, Odej Kao
2023 B conf
Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems.
IC2E
Dominik Scheinert, Fabian Casares, Morgan K. Geldenhuys, Kevin Styp-Rekowski, Odej Kao
2023 J jnl
Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems.
CoRR
Dominik Scheinert, Fabian Casares, Morgan K. Geldenhuys, Kevin Styp-Rekowski, Odej Kao
2023 C conf
Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics.
IPCCC
Dominik Scheinert, Philipp Wiesner, Thorsten Wittkopp, Lauritz Thamsen, Jonathan Will, Odej Kao
2023 J jnl
Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics.
CoRR
Dominik Scheinert, Philipp Wiesner, Thorsten Wittkopp, Lauritz Thamsen, Jonathan Will, Odej Kao
2023 — conf
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning.
HICSS
Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao
2023 J jnl
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning.
CoRR
Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao
2023 B conf
Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing?
SSDBM
Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Odej Kao
2023 J jnl
Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing?
CoRR
Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Odej Kao
2023 B conf
Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications.
IEEE Big Data
Dominik Scheinert, Sören Becker, Jonathan Will, Luis Englaender, Lauritz Thamsen
2023 J jnl
Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications.
CoRR
Dominik Scheinert, Sören Becker, Jonathan Will, Luis Englaender, Lauritz Thamsen
2022 — conf
A2Log: Attentive Augmented Log Anomaly Detection.
HICSS
Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao
2022 J jnl
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview.
CoRR
Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Jonathan Bader, Odej Kao
2022 J jnl
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview.
Datenbank-Spektrum
Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Jonathan Bader, Odej Kao
2022 — conf
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads.
Euro-Par
Philipp Wiesner, Dominik Scheinert, Thorsten Wittkopp, Lauritz Thamsen, Odej Kao
2022 J jnl
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads.
CoRR
Philipp Wiesner, Dominik Scheinert, Thorsten Wittkopp, Lauritz Thamsen, Odej Kao
2022 C conf
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams.
ICFEC
Soeren Becker, Dominik Scheinert, Florian Schmidt, Odej Kao
2022 J jnl
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams.
CoRR
Soeren Becker, Dominik Scheinert, Florian Schmidt, Odej Kao
2022 B conf
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing.
IC2E
Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao
2022 J jnl
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing.
CoRR
Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao
2022 C conf
Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing.
FedCSIS
Morgan Geldenhuys, Benjamin J. J. Pfister, Dominik Scheinert, Lauritz Thamsen, Odej Kao
2022 B conf
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning.
IC2E
Houkun Zhu, Dominik Scheinert, Lauritz Thamsen, Kain Kordian Gontarska, Odej Kao
2022 J jnl
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning.
CoRR
Houkun Zhu, Dominik Scheinert, Lauritz Thamsen, Kain Kordian Gontarska, Odej Kao
2022 B conf
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics.
IEEE Big Data
Dominik Scheinert, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao
2022 J jnl
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics.
CoRR
Dominik Scheinert, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao
2022 A conf
Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads.
ICWS
Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen
2022 J jnl
Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads.
CoRR
Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen
2022 B conf
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments.
IEEE Big Data
Dominik Scheinert, Babak Sistani Zadeh Aghdam, Soeren Becker, Odej Kao, Lauritz Thamsen
2022 J jnl
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments.
CoRR
Dominik Scheinert, Babak Sistani Zadeh Aghdam, Soeren Becker, Odej Kao, Lauritz Thamsen
2022 C conf
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures.
IPCCC
Jonathan Bader, Fabian Lehmann, Alexander Groth, Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Ulf Leser, Odej Kao
2022 J jnl
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures.
CoRR
Jonathan Bader, Fabian Lehmann, Alexander Groth, Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Ulf Leser, Odej Kao
2022 B conf
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing.
IEEE Big Data
Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao
2022 J jnl
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing.
CoRR
Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao
2022 — conf
Scalable and Data-driven Decision Support in the Maintenance, Repair, and Overhaul Process.
IEEM
Houkun Zhu, Helena Ebel, Dominik Scheinert, Florian Schmidt, Jens Altenkirch, Odej Kao
2021 — conf
A Taxonomy of Anomalies in Log Data.
ICSOC Workshops
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Odej Kao
2021 J jnl
A Taxonomy of Anomalies in Log Data.
CoRR
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Odej Kao
2021 J jnl
A2Log: Attentive Augmented Log Anomaly Detection.
CoRR
Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao
2021 C conf
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts.
CLUSTER
Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao
2021 J jnl
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts.
CoRR
Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao
2021 B conf
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds.
IC2E
Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao
2021 J jnl
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds.
CoRR
Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao
2021 C conf
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation.
IPCCC
Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao
2021 J jnl
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation.
CoRR
Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao
2021 B conf
Evaluation of Load Prediction Techniques for Distributed Stream Processing.
IC2E
Kain Kordian Gontarska, Morgan Geldenhuys, Dominik Scheinert, Philipp Wiesner, Andreas Polze, Lauritz Thamsen
2021 J jnl
Evaluation of Load Prediction Techniques for Distributed Stream Processing.
CoRR
Kain Kordian Gontarska, Morgan Geldenhuys, Dominik Scheinert, Philipp Wiesner, Andreas Polze, Lauritz Thamsen
2021 J jnl
Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing.
CoRR
Morgan K. Geldenhuys, Benjamin J. J. Pfister, Dominik Scheinert, Odej Kao, Lauritz Thamsen
2021 J jnl
Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies.
CoRR
Dominik Scheinert, Alexander Acker, Lauritz Thamsen, Morgan K. Geldenhuys, Odej Kao
2021 J jnl
Let's Wait Awhile: How Temporal Workload Shifting Can Reduce Carbon Emissions in the Cloud.
CoRR
Philipp Wiesner, Ilja Behnke, Dominik Scheinert, Kain Kordian Gontarska, Lauritz Thamsen
2021 A conf
Let's wait awhile: how temporal workload shifting can reduce carbon emissions in the cloud.
Middleware
Philipp Wiesner, Ilja Behnke, Dominik Scheinert, Kain Kordian Gontarska, Lauritz Thamsen
2021 A conf
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision.
ICSOC
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Alexander Acker
2021 J jnl
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision.
CoRR
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Alexander Acker
2021 — conf
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds.
IEEE BigData
Dominik Scheinert, Alireza Alamgiralem, Jonathan Bader, Jonathan Will, Thorsten Wittkopp, Lauritz Thamsen
2021 J jnl
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds.
CoRR
Dominik Scheinert, Alireza Alamgiralem, Jonathan Bader, Jonathan Will, Thorsten Wittkopp, Lauritz Thamsen
2021 — conf
Rafiki: Task-Level Capacity Planning in Distributed Stream Processing Systems.
Euro-Par Workshops
Benjamin J. J. Pfister, Wolf S. Lickefett, Jan Nitschke, Sumit Paul, Morgan K. Geldenhuys, Dominik Scheinert, Kain Kordian Gontarska, Lauritz Thamsen
2021 J jnl
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services.
CoRR
Dominik Scheinert, Alexander Acker
2021 — conf
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud.
IEEE BigData
Jonathan Will, Onur Arslan, Jonathan Bader, Dominik Scheinert, Lauritz Thamsen
2021 J jnl
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud.
CoRR
Jonathan Will, Onur Arslan, Jonathan Bader, Dominik Scheinert, Lauritz Thamsen
2020 — conf
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services.
ICSOC Workshops
Dominik Scheinert, Alexander Acker