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Publications of the Research Group

2022

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, to appear. 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, to appear. 2021

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Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters

Bader, Jonathan and Thamsen, Lauritz and Kulagina, Svetlana and Will, Jonathan and Meyerhenke, Henning and Kao, Odej

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

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AuctionWhisk: Using an Auction-Inspired Approach for Function Placement in Serverless Fog Platforms

Bermbach, David and Bader, Jonathan and Hasenburg, Jonathan and Pfandzelter, Tobias and Thamsen, Lauritz

Software: Practice and Experience. Wiley, to appear. 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, to appear. 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, to appear. 2021

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A Taxonomy of Anomalies in Log Data

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

19th International Conference on Service-Oriented Computing, to appear. 2021

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EdgePier: P2P-based Container Image Distribution in Edge Computing Environments

Soeren Becker and Florian Schmidt and Odej Kao

40th IEEE International Performance Computing and Communications Conference. IEEE, 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, to appear. 2021

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LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks

Soeren Becker and Florian Schmidt and Lauritz Thamsen and Ana Juan Ferrer and Odej Kao

IEEE International Conference on Autonomic Computing and Self-Organizing Systems. IEEE, to appear. 2021

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Causal Inference Techniques for Microservice Performance Diagnosis: Evaluation and Guiding Recommendations

Wu, Li and Tordsson, Johan and Elmroth, Erik and Kao, Odej

IEEE International Conference on Autonomic Computing and Self-Organizing Systems. IEEE, to appear. 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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The Collaborative Research Center FONDA

Ulf Leser, Odej Kao, and others

Datenbank Spektrum. Springer. 2021

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Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring

Gontarska, Kordian and Wrazen, Weronika and Beilharz, Jossekin and Schmid, Robert and Thamsen, Lauritz and Polze, Andreas

19th Conference on Artificial Intelligence in Medicine (AIME'21), 293-297. 2021

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LEAF: Simulating Large Energy-Aware Fog Computing Environments

Wiesner, Philipp and Thamsen, Lauritz

2021 5th IEEE International Conference on Fog and Edge Computing (ICFEC). IEEE, 29-36. 2021

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Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms

Ferrer, Ana Juan and Becker, Soeren and Schmidt, Florian and Thamsen, Lauritz and Kao, Odej

Workshop Proceedings of the 21st IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing. IEEE, To appear. 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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Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models

Bogatinovski, Jasmin and Harald, Ott and, Acker, Alexander and Nedelkoski, Sasho and Kao, Odej

Workshop Proceedings of the 43th International Conference on Software Engineering. ACM, To appear. 2021

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MicroDiag: Fine-grained Performance Diagnosis for Microservice Systems

Wu, Li and Tordsson, Johan and Bogatinovski, Jasmin and Elmroth, Erik and Kao, Odej

Workshop Proceedings of the 43th International Conference on Software Engineering. ACM, To appear. 2021

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PIERES: A Playground for Network Interrupt Experiments on Real-Time Embedded Systems in the IoT

Franz Bender, Jan Jonas Brune, Nick Lauritz Keutel, Ilja Behnke and Lauritz Thamsen

2021 ACM/SPEC International Conference on Performance Engineering Companion. ACM, 81-84. 2021

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Detecting and Mitigating Network Packet Overloads on Real-Time Devices in IoT Systems

Danicki, Robert and Haug, Martin and Behnke, Ilja and Mädje, Laurenz and Thamsen, Lauritz

4th International Workshop on Edge Systems, Analytics and Networking (EdgeSys'21), 25-30. 2021

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Towards a Staging Environment for the Internet of Things

Jossekin Beilharz, Philipp Wiesner, Arne Boockmeyer, Florian Brokhausen, Ilja Behnke, Robert Schmid, Lukas Pirl, and Lauritz Thamsen

2021 IEEE International Conference on Pervasive Computing and Communications Workshops, To appear. 2021

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Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper

Jasmin Bogatinovski and Sasho Nedelkoski and Alexander Acker and Florian Schmidt and Thorsten Wittkopp and Soeren Becker and Jorge Cardoso and Odej Kao

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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Control Optimization Through Prediction-Based Wastewater Management

Tilcher, David Konstantin and Popescu, Florin and Sommer, Harald and Thamsen, Lauritz and Thamsen, Paul Uwe

Proceedings of the ASME 2021 Fluids Engineering Division Summer Meeting. ASME, 9. 2021

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Assessing the Resilience of Water Distribution Networks Under Different Sensor Network Architectures and Data Sampling Frequencies

Siling Chen, Florian Brokhausen, Philipp Wiesner, Lauritz Thamsen, and Andrea Cominola

Proceedings of the 2nd International Symposium on Water System Operations (ISWSO). IAHR, 1-2. 2021

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On the Future of Cloud Engineering

David Bermbach, Abhishek Chandra, Chandra Krintz, Aniruddha Gokhale, Aleksander Slominski, Lauritz Thamsen, Everton Cavalcante, Tian Guo, Ivona Brandic, and Rich Wolski

Proceedings of the 9th IEEE International Conference on Cloud Engineering (IC2E). IEEE, 264-275. 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, to appear. 2021

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Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures

Geldenhuys, Morgan K. and Will, Jonathan and Pfister, Benjamin and Haug, Martin and Scharmann, Alexander and Thamsen, Lauritz

IEEE International Conference on Cloud Engineering. IEEE, 244-250. 2021

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GRAL: Localization of Floating Wireless Sensors in Pipe Networks

Martin Haug, Felix Lorenz, and Lauritz Thamsen

Proceedings of the 9th IEEE International Conference on Cloud Engineering (IC2E). IEEE, 251-257. 2021

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Observing Earth’s magnetic environment with the GRACE-FO mission

Stolle, Claudia and Michaelis, Ingo and Xiong, C and Rother, Martin and Usbeck, Th and Yamazaki, Yosuke and Rauberg, Jan and Styp-Rekowski, K

Earth, Planets and Space. Springer, 1–21. 2021

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Calibration of the GRACE-FO Satellite Platform Magnetometers and Co-Estimation of Intrinsic Time Shift in Data

Styp-Rekowski, Kevin and Stolle, Claudia and Michaelis, Ingo and Kao, Odej

2021 IEEE International Conference on Big Data (Big Data). IEEE, To appear. 2021

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Service-Oriented Computing

Hakim Hacid and Odej Kao et al.

Springer. 2021

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2020

Self-Supervised Anomaly Detection from Distributed Traces

J. Bogatinovski and S. Nedelkoski and J. Cardoso and O. Kao

2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC), 342–347. 2020

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A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring

Lorenz, Felix and Geldenhuys, Morgan and Sommer, Harald and Jakobs, Frauke and Lüring, Carsten and Skwarek, Volker and Behnke, Ilja and Thamsen, Lauritz

2020 IEEE International Conference on Big Data. IEEE, 3488–3493. 2020

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Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines

Ahmad, Sabtain and Styp-Rekowski, Kevin and Nedelkoski, Sasho and Kao, Odej

2020 IEEE International Conference on Big Data (Big Data), 4093–4102. 2020

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Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs

Geldenhuys, Morgan and Thamsen, Lauritz and Kao, Odej

2020 IEEE International Conference on Big Data, 434–440. 2020

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Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series

Styp-Rekowski, Kevin and Schmidt, Florian and Kao, Odej

2020 IEEE International Conference on Big Data (Big Data), 2217–2222. 2020

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Performance Diagnosis in Cloud Microservices using Deep Learning

Wu, Li and Bogatinovski, Jasmin and Nedelkoski, Sasho and Tordsson, Johan and Kao, Odej

18th International Conference on Service-Oriented Computing, To appear. 2020

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Towards AIOps in Edge Computing Environments

Becker, Soeren and Schmidt, Florian and Gulenko, Anton and Acker, Alexander and Kao, Odej

2020 IEEE International Conference on Big Data. IEEE, 3470–3475. 2020

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Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs

Will, Jonathan and Bader, Jonathan and Thamsen, Lauritz

2020 IEEE International Conference on Big Data. IEEE, 2851–2856. 2020

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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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Interrupting Real-Time IoT Tasks: How Bad Can It Be to Connect Your Critical Embedded System to the Internet?

Behnke, Ilja and Pirl, Lukas and Thamsen, Lauritz and Danicki, Robert and Polze, Andreas and Kao, Odej

IPCCC 2020: 39th International Performance Computing and Communications Conference, 1-6. 2020

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Decentralized Federated Learning Preserves Model and Data Privacy

Thorsten Wittkopp and Alexander Acker

18th International Conference on Service-Oriented Computing, 176–187. 2020

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Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs

Nedelkoski, Sasho and Bogatinovski, Jasmin and Acker, Alexander and Cardoso, Jorge and Kao, Odej

ICDM 2020: 20th IEEE International Conference on Data Mining, 1196–1201. 2020

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Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction

Acker, Alexander and Wittkopp, Thorsten and Nedelkoski, Sasho and Bogatinovski, Jasmin and Kao, Odej

15th Conference on Computer Science and Information Systems, 7–10. 2020

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Self-Supervised Log parsing

S. Nedelkoski and J. Bogatinovski and A. Acker and J. Cardoso and O. Kao

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2020, 1–742. 2020

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Multi-Source Distributed System Data for AI-powered Analytics

Nedelkoski, Sasho and Bogatinovski, Jasmin and Mandapati, Ajay, and Cardoso, Jorge and Kao, Odej

ESOCC 2020: European Conference On Service-Oriented And Cloud Computing. Springer International Publishing, 161–176. 2020

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