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Dominik Scheinert

Address:
Technische Universität Berlin
Faculty IV - Electrical Engineering and Computer Science
Institut for Telecommunication Systems
Distributed and Operating Systems (DOS)

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

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

Publications

2022

Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing [4]

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

Link to publication [5] Download Bibtex entry [6]

Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning [7]

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

Link to publication [8] Download Bibtex entry [9]

Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing [10]

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

Link to publication [11] Download Bibtex entry [12]

Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads [13]

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

Link to publication [14] Download Bibtex entry [15]

Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads [16]

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

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

Link to publication [17] Download Bibtex entry [18]

Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams [19]

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

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

Link to publication [20] Download Bibtex entry [21]

Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview [22]

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

Datenbank-Spektrum. Springer. 2022

Link to publication [23] Download Bibtex entry [24]

A2Log: Attentive Augmented Log Anomaly Detection [25]

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

Link to publication [26] Download Bibtex entry [27]

2021

On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds [28]

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

Link to publication [29] Download Bibtex entry [30]

Let's Wait Awhile: How Temporal Workload Shifting Can Reduce Carbon Emissions in the Cloud [31]

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

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

Link to publication [32] Download Bibtex entry [33]

LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision [34]

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

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

Link to publication [35] Download Bibtex entry [36]

A Taxonomy of Anomalies in Log Data [37]

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

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

Link to publication [38] Download Bibtex entry [39]

Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation [40]

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

Link to publication [41] Download Bibtex entry [42]

Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts [43]

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

Link to publication [44] Download Bibtex entry [45]

Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies [46]

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

Link to publication [47] Download Bibtex entry [48]

C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds [49]

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

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

Link to publication [50] Download Bibtex entry [51]

Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud [52]

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

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

Link to publication [53] Download Bibtex entry [54]

Evaluation of Load Prediction Techniques for Distributed Stream Processing [55]

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

Link to publication [56] Download Bibtex entry [57]

Rafiki: Task-level Capacity Planning in Distributed Stream Processing Systems [58]

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

Link to publication [59] Download Bibtex entry [60]

2020

TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services [61]

Scheinert, Dominik and Acker, Alexander

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

Link to publication [62] Download Bibtex entry [63]

Contact

Dominik Scheinert
+49 30 314-26260
TEL 1210
Contact [64]
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