Dominik Scheinert

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 63

Top Topics

Distributed Stream Processing

Iterative Optimization

Efficient Execution

Top Venues

Publications

Jonathan Bader, Fabian Skalski, Fabian Lehmann, Dominik Scheinert, Jonathan Will, Lauritz Thamsen, Odej Kao
Sizey: Memory-Efficient Execution of Scientific Workflow Tasks. CoRR (2024)
Benjamin J. J. Pfister, Dominik Scheinert, Morgan K. Geldenhuys, Odej Kao
Daedalus: Self-Adaptive Horizontal Autoscaling for Resource Efficiency of Distributed Stream Processing Systems. CoRR (2024)
Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen
Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization. ICPE (2024)
Morgan Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen
Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization. CoRR (2024)
Jonathan Will, Dominik Scheinert, Jan Bode, Cedric Kring, Seraphin Zunzer, Lauritz Thamsen
Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance Modeling. CoRR (2024)
Jonathan Will, Dominik Scheinert, Seraphin Zunzer, Jan Bode, Cedric Kring, Lauritz Thamsen
Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance Modeling. ICPE (Companion) (2024)
Benjamin J. J. Pfister, Dominik Scheinert, Morgan K. Geldenhuys, Odej Kao
Daedalus: Self-Adaptive Horizontal Autoscaling for Resource Efficiency of Distributed Stream Processing Systems. ICPE (2024)
Dominik Scheinert, Sören Becker, Jonathan Will, Luis Englaender, Lauritz Thamsen
Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications. CoRR (2023)
Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning. CoRR (2023)
Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning. HICSS (2023)
Dominik Scheinert, Philipp Wiesner, Thorsten Wittkopp, Lauritz Thamsen, Jonathan Will, Odej Kao
Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics. CoRR (2023)
Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Odej Kao
Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing? SSDBM (2023)
Dominik Scheinert, Sören Becker, Jonathan Will, Luis Englaender, Lauritz Thamsen
Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications. BigData (2023)
Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Odej Kao
Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing? CoRR (2023)
Dominik Scheinert, Fabian Casares, Morgan K. Geldenhuys, Kevin Styp-Rekowski, Odej Kao
Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems. IC2E (2023)
Dominik Scheinert, Fabian Casares, Morgan K. Geldenhuys, Kevin Styp-Rekowski, Odej Kao
Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems. CoRR (2023)
Jonathan Bader, Fabian Lehmann, Alexander Groth, Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Ulf Leser, Odej Kao
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures. CoRR (2022)
Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing. CoRR (2022)
Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao
A2Log: Attentive Augmented Log Anomaly Detection. HICSS (2022)
Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen
Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads. CoRR (2022)
Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Jonathan Bader, Odej Kao
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview. CoRR (2022)
Houkun Zhu, Dominik Scheinert, Lauritz Thamsen, Kain Kordian Gontarska, Odej Kao
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning. CoRR (2022)
Houkun Zhu, Helena Ebel, Dominik Scheinert, Florian Schmidt, Jens Altenkirch, Odej Kao
Scalable and Data-driven Decision Support in the Maintenance, Repair, and Overhaul Process. IEEM (2022)
Dominik Scheinert, Babak Sistani Zadeh Aghdam, Soeren Becker, Odej Kao, Lauritz Thamsen
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments. Big Data (2022)
Philipp Wiesner, Dominik Scheinert, Thorsten Wittkopp, Lauritz Thamsen, Odej Kao
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads. CoRR (2022)
Dominik Scheinert, Babak Sistani Zadeh Aghdam, Sören Becker, Odej Kao, Lauritz Thamsen
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments. CoRR (2022)
Morgan Geldenhuys, Benjamin J. J. Pfister, Dominik Scheinert, Lauritz Thamsen, Odej Kao
Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing. FedCSIS (2022)
Sören Becker, Dominik Scheinert, Florian Schmidt, Odej Kao
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams. CoRR (2022)
Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing. Big Data (2022)
Philipp Wiesner, Dominik Scheinert, Thorsten Wittkopp, Lauritz Thamsen, Odej Kao
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads. Euro-Par (2022)
Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Jonathan Bader, Odej Kao
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview. Datenbank-Spektrum 22 (2) (2022)
Houkun Zhu, Dominik Scheinert, Lauritz Thamsen, Kain Kordian Gontarska, Odej Kao
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning. IC2E (2022)
Dominik Scheinert, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. Big Data (2022)
Jonathan Bader, Fabian Lehmann, Alexander Groth, Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Ulf Leser, Odej Kao
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures. IPCCC (2022)
Dominik Scheinert, Sören Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. CoRR (2022)
Sören Becker, Dominik Scheinert, Florian Schmidt, Odej Kao
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams. ICFEC (2022)
Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen
Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads. ICWS (2022)
Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing. CoRR (2022)
Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing. IC2E (2022)
Jonathan Will, Onur Arslan, Jonathan Bader, Dominik Scheinert, Lauritz Thamsen
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud. IEEE BigData (2021)
Philipp Wiesner, Ilja Behnke, Dominik Scheinert, Kain Kordian Gontarska, Lauritz Thamsen
Let's wait awhile: how temporal workload shifting can reduce carbon emissions in the cloud. Middleware (2021)
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Alexander Acker
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision. CoRR (2021)
Dominik Scheinert, Alireza Alamgiralem, Jonathan Bader, Jonathan Will, Thorsten Wittkopp, Lauritz Thamsen
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds. IEEE BigData (2021)
Jonathan Will, Onur Arslan, Jonathan Bader, Dominik Scheinert, Lauritz Thamsen
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud. CoRR (2021)
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Odej Kao
A Taxonomy of Anomalies in Log Data. CoRR (2021)
Dominik Scheinert, Alireza Alamgiralem, Jonathan Bader, Jonathan Will, Thorsten Wittkopp, Lauritz Thamsen
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds. CoRR (2021)
Benjamin J. J. Pfister, Wolf S. Lickefett, Jan Nitschke, Sumit Paul, Morgan K. Geldenhuys, Dominik Scheinert, Kain Kordian Gontarska, Lauritz Thamsen
Rafiki: Task-Level Capacity Planning in Distributed Stream Processing Systems. Euro-Par Workshops (2021)
Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds. CoRR (2021)
Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation. CoRR (2021)
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Odej Kao
A Taxonomy of Anomalies in Log Data. ICSOC Workshops (2021)
Kain Kordian Gontarska, Morgan Geldenhuys, Dominik Scheinert, Philipp Wiesner, Andreas Polze, Lauritz Thamsen
Evaluation of Load Prediction Techniques for Distributed Stream Processing. CoRR (2021)
Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao
A2Log: Attentive Augmented Log Anomaly Detection. CoRR (2021)
Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds. IC2E (2021)
Philipp Wiesner, Ilja Behnke, Dominik Scheinert, Kain Kordian Gontarska, Lauritz Thamsen
Let's Wait Awhile: How Temporal Workload Shifting Can Reduce Carbon Emissions in the Cloud. CoRR (2021)
Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. CoRR (2021)
Dominik Scheinert, Alexander Acker, Lauritz Thamsen, Morgan K. Geldenhuys, Odej Kao
Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies. CoRR (2021)
Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. CLUSTER (2021)
Kain Kordian Gontarska, Morgan Geldenhuys, Dominik Scheinert, Philipp Wiesner, Andreas Polze, Lauritz Thamsen
Evaluation of Load Prediction Techniques for Distributed Stream Processing. IC2E (2021)
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Alexander Acker
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision. ICSOC (2021)
Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation. IPCCC (2021)
Dominik Scheinert, Alexander Acker
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services. CoRR (2021)
Morgan K. Geldenhuys, Benjamin J. J. Pfister, Dominik Scheinert, Odej Kao, Lauritz Thamsen
Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing. CoRR (2021)
Dominik Scheinert, Alexander Acker
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services. ICSOC Workshops (2020)