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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

Order by: Author [1]  Year [2]  Journal [3]

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

Download Bibtex entry [5]

Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning [6]

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

Download Bibtex entry [7]

Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads [8]

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 [9] Download Bibtex entry [10]

Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads [11]

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

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

Download Bibtex entry [12]

Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams [13]

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 [14] Download Bibtex entry [15]

Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview [16]

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

Datenbank-Spektrum. Springer. 2022

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

A2Log: Attentive Augmented Log Anomaly Detection [19]

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 [20] Download Bibtex entry [21]

2021

On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds [22]

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, to appear. 2021

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

Let's Wait Awhile: How Temporal Workload Shifting Can Reduce Carbon Emissions in the Cloud [25]

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

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

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

LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision [28]

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 [29] Download Bibtex entry [30]

A Taxonomy of Anomalies in Log Data [31]

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 [32] Download Bibtex entry [33]

Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation [34]

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, to appear. 2021

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

Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts [37]

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 [38] Download Bibtex entry [39]

Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies [40]

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 [41] Download Bibtex entry [42]

C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds [43]

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 [44] Download Bibtex entry [45]

Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud [46]

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 [47] Download Bibtex entry [48]

Evaluation of Load Prediction Techniques for Distributed Stream Processing [49]

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 [50] Download Bibtex entry [51]

Rafiki: Task-level Capacity Planning in Distributed Stream Processing Systems [52]

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 [53] Download Bibtex entry [54]

2020

TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services [55]

Scheinert, Dominik and Acker, Alexander

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

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

Contact

Dominik Scheinert
 +49 30 314-26260
Room TEL 1210
e-mail query [58]
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