Page Content
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
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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/parameter/en/font2/minhilfe/id/214689/?no_cache=1&
ask_mail=YvAwLwALewhIWPxwIkxsRt72lvYh3MTstdJzn9MeTG5QYr
skfCokbA%3D%3D&ask_name=Dominik%20Scheinert