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Dominik Scheinert
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2020 – today
- 2024
- [c31]Jonathan Bader, Fabian Skalski, Fabian Lehmann, Dominik Scheinert, Jonathan Will, Lauritz Thamsen, Odej Kao:
Sizey: Memory-Efficient Execution of Scientific Workflow Tasks. CLUSTER 2024: 370-381 - [c30]Benjamin J. J. Pfister
, Dominik Scheinert
Daedalus: Self-Adaptive Horizontal Autoscaling for Resource Efficiency of Distributed Stream Processing Systems. ICPE 2024: 130-141 - [c29]Morgan K. Geldenhuys
Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization. ICPE 2024: 142-153 - [c28]Jonathan Will
Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance Modeling. ICPE (Companion) 2024: 269-272 - [i32]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 abs/2403.02093 (2024) - [i31]Morgan Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen:
Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization. CoRR abs/2403.02129 (2024) - [i30]Jonathan Will, Dominik Scheinert, Jan Bode, Cedric Kring, Seraphin Zunzer, Lauritz Thamsen:
Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance Modeling. CoRR abs/2403.05692 (2024) - [i29]Jonathan Bader, Fabian Skalski, Fabian Lehmann, Dominik Scheinert, Jonathan Will, Lauritz Thamsen, Odej Kao:
Sizey: Memory-Efficient Execution of Scientific Workflow Tasks. CoRR abs/2407.16353 (2024) - 2023
- [c27]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. IEEE Big Data 2023: 2339-2345 - [c26]Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao:
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning. HICSS 2023: 1376-1385 - [c25]Dominik Scheinert, Fabian Casares, Morgan K. Geldenhuys, Kevin Styp-Rekowski, Odej Kao:
Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems. IC2E 2023: 202-211 - [c24]Jonathan Will
Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing? SSDBM 2023: 24:1-24:4 - [i28]Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao:
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning. CoRR abs/2301.10681 (2023) - [i27]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 abs/2306.03672 (2023) - [i26]Dominik Scheinert, Fabian Casares, Morgan K. Geldenhuys, Kevin Styp-Rekowski, Odej Kao:
Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems. CoRR abs/2307.14287 (2023) - [i25]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 abs/2308.11792 (2023) - [i24]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 abs/2311.14600 (2023) - 2022
- [j1]Lauritz Thamsen
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview. Datenbank-Spektrum 22(2): 143-151 (2022) - [c23]Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao:
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing. IEEE Big Data 2022: 161-169 - [c22]Dominik Scheinert, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao:
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. IEEE Big Data 2022: 209-216 - [c21]Dominik Scheinert, Babak Sistani Zadeh Aghdam, Soeren Becker, Odej Kao, Lauritz Thamsen:
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments. IEEE Big Data 2022: 4583-4588 - [c20]Philipp Wiesner
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads. Euro-Par 2022: 218-232 - [c19]Morgan Geldenhuys, Benjamin J. J. Pfister, Dominik Scheinert, Lauritz Thamsen, Odej Kao:
Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing. FedCSIS 2022: 553-561 - [c18]Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao:
A2Log: Attentive Augmented Log Anomaly Detection. HICSS 2022: 1-10 - [c17]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: 58-66 - [c16]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: 150-159 - [c15]Soeren Becker, Dominik Scheinert, Florian Schmidt, Odej Kao:
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams. ICFEC 2022: 88-93 - [c14]Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen:
Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads. ICWS 2022: 198-207 - [c13]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: 344-348 - [c12]Jonathan Bader, Fabian Lehmann
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures. IPCCC 2022: 269-274 - [i23]Soeren Becker, Dominik Scheinert, Florian Schmidt, Odej Kao:
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams. CoRR abs/2203.05362 (2022) - [i22]Philipp Wiesner, Dominik Scheinert, Thorsten Wittkopp, Lauritz Thamsen, Odej Kao:
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads. CoRR abs/2205.02895 (2022) - [i21]Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Jonathan Bader, Odej Kao:
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview. CoRR abs/2206.00429 (2022) - [i20]Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen:
Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads. CoRR abs/2206.09679 (2022) - [i19]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 abs/2206.13852 (2022) - [i18]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 abs/2207.09298 (2022) - [i17]Jonathan Bader, Fabian Lehmann
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures. CoRR abs/2208.07905 (2022) - [i16]Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao:
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing. CoRR abs/2211.04240 (2022) - [i15]Dominik Scheinert, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao:
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. CoRR abs/2211.08227 (2022) - [i14]Dominik Scheinert, Babak Sistani Zadeh Aghdam, Soeren Becker, Odej Kao, Lauritz Thamsen:
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments. CoRR abs/2211.13729 (2022) - 2021
- [c11]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: 3113-3118 - [c10]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: 3141-3146 - [c9]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: 261-270 - [c8]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: 352-363 - [c7]Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao:
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds. IC2E 2021: 43-52 - [c6]Kain Kordian Gontarska, Morgan Geldenhuys, Dominik Scheinert, Philipp Wiesner, Andreas Polze, Lauritz Thamsen:
Evaluation of Load Prediction Techniques for Distributed Stream Processing. IC2E 2021: 91-98 - [c5]Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Odej Kao:
A Taxonomy of Anomalies in Log Data. ICSOC Workshops 2021: 153-164 - [c4]Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Alexander Acker:
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision. ICSOC 2021: 700-707 - [c3]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: 1-8 - [c2]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: 260-272 - [i13]Dominik Scheinert, Alexander Acker:
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services. CoRR abs/2102.12877 (2021) - [i12]Dominik Scheinert, Alexander Acker, Lauritz Thamsen, Morgan K. Geldenhuys, Odej Kao:
Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies. CoRR abs/2103.05245 (2021) - [i11]Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao:
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds. CoRR abs/2107.13317 (2021) - [i10]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 abs/2107.13921 (2021) - [i9]Kain Kordian Gontarska, Morgan Geldenhuys, Dominik Scheinert, Philipp Wiesner, Andreas Polze, Lauritz Thamsen:
Evaluation of Load Prediction Techniques for Distributed Stream Processing. CoRR abs/2108.04749 (2021) - [i8]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 abs/2108.12211 (2021) - [i7]Morgan K. Geldenhuys, Benjamin J. J. Pfister, Dominik Scheinert, Odej Kao, Lauritz Thamsen:
Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing. CoRR abs/2109.02340 (2021) - [i6]Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao:
A2Log: Attentive Augmented Log Anomaly Detection. CoRR abs/2109.09537 (2021) - [i5]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 abs/2110.13234 (2021) - [i4]Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Alexander Acker:
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision. CoRR abs/2111.01657 (2021) - [i3]Jonathan Will, Onur Arslan, Jonathan Bader, Dominik Scheinert, Lauritz Thamsen:
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud. CoRR abs/2111.07904 (2021) - [i2]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 abs/2111.08759 (2021) - [i1]Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Odej Kao:
A Taxonomy of Anomalies in Log Data. CoRR abs/2111.13462 (2021) - 2020
- [c1]Dominik Scheinert, Alexander Acker:
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services. ICSOC Workshops 2020: 214-227
Coauthor Index
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