TU Berlin

Institut für TelekommunikationssystemeScheinert, Dominik

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Dominik Scheinert

Adresse:
Technische Universität Berlin
Fakultät IV - Elektrotechnik und Informatik
Institut für Telekommunikationssysteme
Distributed and Operating Systems (DOS)

Sekr. TEL 12-5
Ernst-Reuter-Platz 7
10587 Berlin

Raum: TEL 1210
Telefon: +49 30 314-26260
E-Mail: dominik.scheinert<at>tu-berlin.de

Publikationen

2022

Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing

Will, Jonathan and Thamsen, Lauritz and Bader, Jonathan and Scheinert, Dominik and Kao, Odej

IEEE International Conference on Cloud Engineering (IC2E). IEEE, to appear. 2022

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Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning

Zhu, Houkun and Scheinert, Dominik and Thamsen, Lauritz and Gontarska, Kordian and Kao, Odej

IEEE International Conference on Cloud Engineering (IC2E). IEEE, to appear. 2022

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Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing

Geldenhuys, Morgan K. and Pfister, Ben and Scheinert, Dominik and Thamsen, Lauritz and Kao, Odej

Conference on Computer Science and Intelligence Systems (FedCSIS). IEEE, to appear. 2022

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Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads

Wiesner, Philipp and Scheinert, Dominik and Wittkopp, Thorsten and Thamsen, Lauritz and Kao, Odej

28th International European Conference on Parallel and Distributed Computing (Euro-Par). Springer, to appear. 2022

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

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

IEEE International Conference on Web Services (ICWS). IEEE, to appear. 2022

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Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams

Becker, Soeren and Scheinert, Dominik and Schmidt, Florian and Kao, Odej

6th IEEE International Conference on Fog and Edge Computing 2022. IEEE. 2022

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Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview

Thamsen, Lauritz and Scheinert, Dominik and Will, Jonathan and Bader, Jonathan and Kao, Odej

Datenbank-Spektrum. Springer. 2022

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A2Log: Attentive Augmented Log Anomaly Detection

Wittkopp, Thorsten and Acker, Alexander and Nedelkoski, Sasho and Bogatinovski, Jasmin and Scheinert, Dominik and Fan, Wu and Odej Kao

55th Hawaii International Conference on Systems Science, 1853-1862. 2022

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2021

On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds

Scheinert, Dominik and Alamgiralem, Alireza and Bader, Jonathan and Will, Jonathan and Wittkopp, Thorsten and Thamsen, Lauritz

2021 IEEE International Conference on Big Data. IEEE, 3113-3118. 2021

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Let's Wait Awhile: How Temporal Workload Shifting Can Reduce Carbon Emissions in the Cloud

Wiesner, Philipp and Behnke, Ilja and Scheinert, Dominik and Gontarska, Kordian and Thamsen, Lauritz

22nd International Middleware Conference (Middleware). ACM. 2021

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LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision

Wittkopp, Thorsten and Wiesner, Philipp and Scheinert, Dominik and Acker, Alexander

19th International Conference on Service-Oriented Computing (ICSOC), 700-707. 2021

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A Taxonomy of Anomalies in Log Data

Wittkopp, Thorsten and Wiesner, Philipp and Scheinert, Dominik and Kao, Odej

2nd International Workshop on Artificial Intelligence for IT Operations (AIOPS), to appear. 2021

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Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation

Scheinert, Dominik and Zhu, Houkun and Thamsen, Lauritz and Geldenhuys, Morgan K. and Will, Jonathan and Acker, Alexander and Kao, Odej

40th IEEE International Performance Computing and Communications Conference. IEEE, 1-8. 2021

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Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts

Scheinert, Dominik and Thamsen, Lauritz and Zhu, Houkun and Will, Jonathan and Acker, Alexander and Wittkopp, Thorsten and Kao, Odej

2021 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, 261-270. 2021

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Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies

Scheinert, Dominik and Acker, Alexander and Thamsen, Lauritz and Geldenhuys, Morgan K. and Kao, Odej

Workshop Proceedings of the 43th International Conference on Software Engineering, 7-12. 2021

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C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds

Will, Jonathan and Thamsen, Lauritz and Scheinert, Dominik and Bader, Jonathan and Kao, Odej

International Conference on Cloud Engineering. IEEE, 43-52. 2021

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Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud

Will, Jonathan and Arslan, Onur and Bader, Jonathan and Scheinert, Dominik and Thamsen, Lauritz

International Conference on Big Data. IEEE, to appear. 2021

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Evaluation of Load Prediction Techniques for Distributed Stream Processing

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

International Conference on Cloud Engineering. IEEE, 91-98. 2021

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Rafiki: Task-level Capacity Planning in Distributed Stream Processing Systems

Pfister, Benjamin JJ and Lickefett, Wolf S and Nitschke, Jan and Paul, Sumit and Geldenhuys, Morgan K and Scheinert, Dominik and Gontarska, Kordian and Thamsen, Lauritz

International European Conference on Parallel and Distributed Computing. Springer. 2021

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2020

TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services

Scheinert, Dominik and Acker, Alexander

18th International Conference on Service-Oriented Computing, 214-227. 2020

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