Distributed and Operating Systems

Dominik Scheinert

Research Associate & PhD Student

Consultation Hours: available weekly by appointment.
Advance notification by email is requested.

Publications

2023

Scheinert, Dominik; Wiesner, Philipp; Wittkopp, Thorsten; Thamsen, Lauritz; Will, Jonathan; Kao, Odej
Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics
42th International Performance Computing and Communications Conference (IPCCC)
Publisher: IEEE
November 2023

File: https://arxiv.org/pdf/2308.11792.pdf

Scheinert, Dominik; Casares, Fabian; Geldenhuys, Morgan K.; Styp-Rekowski, Kevin; Kao, Odej
Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems
2023 IEEE International Conference on Cloud Engineering (IC2E)
Publisher: IEEE
September 2023

File: https://arxiv.org/pdf/2307.14287.pdf

Wittkopp, Thorsten; Scheinert, Dominik; Wiesner, Philipp; Acker, Alexander; Kao, Odej
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning
56th Hawaii International Conference on System Sciences (HICSS), Page 1376–1385
January 2023

File: https://scholarspace.manoa.hawaii.edu/server/api/core/bitstreams/669bbb88-4b4d-4291-93a6-4e98870a95e9/content

Will, Jonathan; Thamsen, Lauritz; Scheinert, Dominik; Kao, Odej
Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing?
International Conference on Scientific and Statistical Database Management (SSDBM), Page 1–4
Publisher: ACM
2023

DOI: 10.1145/3603719.3603733
File: https://arxiv.org/pdf/2306.03672

2022

Scheinert, Dominik; Becker, Soeren; Bader, Jonathan; Thamsen, Lauritz; Will, Jonathan; Kao, Odej
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics
IEEE International Conference on Big Data (BigData), Page 209–216
Publisher: IEEE
December 2022

File: https://doi.org/10.1109/BigData55660.2022.10020860

Will, Jonathan; Thamsen, Lauritz; Bader, Jonathan; Scheinert, Dominik; Kao, Odej
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing
IEEE International Conference on Big Data (BigData), Page 161–169
Publisher: IEEE
December 2022

File: https://doi.org/10.1109/BigData55660.2022.10020295

Scheinert, Dominik; Aghdam, Babak Sistani Zadeh; Becker, Soeren; Kao, Odej; Thamsen, Lauritz
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments
IEEE International Conference on Big Data (BigData), Page 4583–4588
Publisher: IEEE
December 2022

File: https://doi.org/10.1109/BigData55660.2022.10021129

Bader, Jonathan; Lehmann, Fabian; Groth, Alexander; Thamsen, Lauritz; Scheinert, Dominik; Will, Jonathan; Leser, Ulf; Kao, Odej
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures
41th International Performance Computing and Communications Conference (IPCCC), Page 269–274
Publisher: IEEE
November 2022

DOI: https://doi.org/10.1109/IPCCC55026.2022.9894299
File: https://arxiv.org/pdf/2208.07905.pdf

Will, Jonathan; Thamsen, Lauritz; Bader, Jonathan; Scheinert, Dominik; Kao, Odej
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing
IEEE International Conference on Cloud Engineering (IC2E), Page 58–66
Publisher: IEEE
September 2022

File: https://arxiv.org/abs/2206.13852

Zhu, Houkun; Scheinert, Dominik; Thamsen, Lauritz; Gontarska, Kordian; Kao, Odej
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning
IEEE International Conference on Cloud Engineering (IC2E), Page to appear
Publisher: IEEE
September 2022

File: https://arxiv.org/abs/2207.09298

Geldenhuys, Morgan K.; Pfister, Ben; Scheinert, Dominik; Thamsen, Lauritz; Kao, Odej
Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing
Conference on Computer Science and Intelligence Systems (FedCSIS), Page 553–561
Publisher: IEEE
September 2022

File: https://doi.org/10.15439/2022F225

Wiesner, Philipp; Scheinert, Dominik; Wittkopp, Thorsten; Thamsen, Lauritz; Kao, Odej
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads
28th International European Conference on Parallel and Distributed Computing (Euro-Par), Page 218–232
Publisher: Springer
August 2022

File: https://link.springer.com/chapter/10.1007/978-3-031-12597-3_14

Geldenhuys, Morgan K.; Scheinert, Dominik; Kao, Odej; Thamsen, Lauritz
Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads
IEEE International Conference on Web Services (ICWS), Page 198–207
Publisher: IEEE
July 2022

File: https://doi.org/10.1109/ICWS55610.2022.00041

Becker, Soeren; Scheinert, Dominik; Schmidt, Florian; Kao, Odej
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams
6th IEEE International Conference on Fog and Edge Computing (ICFEC)), Page 88–93
Publisher: IEEE
May 2022

File: http://dx.doi.org/10.1109/ICFEC54809.2022.00020

Thamsen, Lauritz; Scheinert, Dominik; Will, Jonathan; Bader, Jonathan; Kao, Odej
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview
Datenbank-Spektrum
May 2022
Publisher: Springer

File: https://doi.org/10.1007/s13222-022-00416-z

Wittkopp, Thorsten; Acker, Alexander; Nedelkoski, Sasho; Bogatinovski, Jasmin; Scheinert, Dominik; Fan, Wu; Kao, Odej
A2Log: Attentive Augmented Log Anomaly Detection
55th Hawaii International Conference on Systems Science (HICSS), Page 1853–1862
January 2022

File: https://arxiv.org/abs/2109.09537

Zhu, Houkun; Ebel, Helena; Scheinert, Dominik; Schmidt, Florian; Altenkirch, Jens; Kao, Odej
Scalable and Data-driven Decision Support in the Maintenance, Repair, and Overhaul Process
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
Publisher: IEEE
2022

DOI: 10.1109/IEEM55944.2022.9989791
File: https://doi.org/10.1109/IEEM55944.2022.9989791

2021

Wiesner, Philipp; Behnke, Ilja; Scheinert, Dominik; Gontarska, Kordian; Thamsen, Lauritz
Let's Wait Awhile: How Temporal Workload Shifting Can Reduce Carbon Emissions in the Cloud
22nd International Middleware Conference (Middleware)
Publisher: ACM
December 2021

File: https://arxiv.org/abs/2110.13234

Scheinert, Dominik; Alamgiralem, Alireza; Bader, Jonathan; Will, Jonathan; Wittkopp, Thorsten; Thamsen, Lauritz
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds
2021 IEEE International Conference on Big Data, Page 3113–3118
Publisher: IEEE
December 2021

File: https://ieeexplore.ieee.org/document/9671275

Wittkopp, Thorsten; Wiesner, Philipp; Scheinert, Dominik; Kao, Odej
A Taxonomy of Anomalies in Log Data
2nd International Workshop on Artificial Intelligence for IT Operations (AIOPS), Page 153–164
Springer
November 2021

File: http://dx.doi.org/10.1007/978-3-031-14135-5_12

Wittkopp, Thorsten; Wiesner, Philipp; Scheinert, Dominik; Acker, Alexander
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision
:700–707
November 2021

File: http://dx.doi.org/10.1007/978-3-030-91431-8_46

Scheinert, Dominik; Zhu, Houkun; Thamsen, Lauritz; Geldenhuys, Morgan K.; Will, Jonathan; Acker, Alexander; Kao, Odej
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation
40th IEEE International Performance Computing and Communications Conference, Page 1–8
Publisher: IEEE
October 2021

File: https://ieeexplore.ieee.org/document/9679361

Scheinert, Dominik; Thamsen, Lauritz; Zhu, Houkun; Will, Jonathan; Acker, Alexander; Wittkopp, Thorsten; Kao, Odej
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts
2021 IEEE International Conference on Cluster Computing (CLUSTER), Page 261–270
Publisher: IEEE
September 2021

File: https://ieeexplore.ieee.org/document/9555951

Scheinert, Dominik; Acker, Alexander; Thamsen, Lauritz; Geldenhuys, Morgan K.; Kao, Odej
Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies
Workshop Proceedings of the 43th International Conference on Software Engineering, Page 7–12
ACM
May 2021

File: https://ieeexplore.ieee.org/document/9526996

Gontarska, Kordian; Geldenhuys, Morgan; Scheinert, Dominik; Wiesner, Philipp; Polze, Andreas; Thamsen, Lauritz
Evaluation of Load Prediction Techniques for Distributed Stream Processing
International Conference on Cloud Engineering, Page 91–98
Publisher: IEEE
2021

File: https://arxiv.org/abs/2108.04749