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Publications of the Research Group

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2019

Graph-based Feature Selection Filter Utilizing Maximal Cliques

Schroeder, Daniel Thilo and Styp-Rekowski, Kevin and Schmidt, Florian and Acker, Alexander and Kao, Odej

2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 297–302. 2019

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Unsupervised Anomaly Alerting for IoT-Gateway Monitoring using Adaptive Thresholds and Half-Space Trees

Wetzig, René and Gulenko, Anton and Schmidt, Florian

2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS). IEEE, 161–168. 2019

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Héctor: A Framework for Testing IoT Applications Across Heterogeneous Edge and Cloud Testbeds

Behnke, Ilja and Thamsen, Lauritz and Kao, Odej

12th IEEE/ACM International Conference on Utility and Cloud Computing Companion. ACM, 15–20. 2019

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Effectively Testing System Configurations of Critical IoT Analytics Pipelines

Geldenhuys, Morgan K. and Thamsen, Lauritz and Gontarska, Kain Kordian and Lorenz, Felix and Kao, Odej

2019 IEEE International Conference on Big Data. IEEE, 4157–4162. 2019

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2020

Mary, Hugo, and Hugo*: Learning to Schedule Distributed Data-Parallel Processing Jobs on Shared Clusters

Lauritz Thamsen, Jossekin Beilharz, Vinh Thuy Tran, Sasho Nedelkoski, and Odej Kao

Concurrency and Computation: Practice and Experience. Wiley, e5823. 2020

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MicroRCA: Root Cause Localization of Performance Issues in Microservices

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

NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium, 1–9. 2020

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Sensor Artificial Intelligence and its Application to Space Systems--A White Paper

Börner, Anko and Hübers, Heinz-Wilhelm and Kao, Odej and Schmidt, Florian and Becker, Sören and Denzler, Joachim and Matolin, Daniel and Haber, David and Lucia, Sergio and Samek, Wojciech and others

arXiv preprint arXiv:2006.08368 2020

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Learning more expressive joint distributions in multimodal variational methods

S. Nedelkoski and M. Bogojevski and O. Kao

2020 International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, 137–149. 2020

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AI-Governance and Levels of Automation for AIOps-supported system administration

Gulenko, Anton and Acker, Alexander and Kao, Odej and Liu, Feng

The 29th International Conference on Computer Communications and Networks, 1–6. 2020

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Fingerprinting Analog IoT Sensors for Secret-Free Authentication

Lorenz, Felix and Thamsen, Lauritz and Wilke, Andreas and Behnke, Ilja and Waldmüller-Littke, Jens and Komarov, Ilya and Kao, Odej and Paeschke, Manfred

2020 29th International Conference on Computer Communications and Networks (ICCCN). IEEE, 1–6. 2020

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Bitflow: An In Situ Stream Processing Framework

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

International Conference on Autonomic Computing and Self-Organizing Systems, 182–187. 2020

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MicroRAS: Automatic Recovery in the Absence of Historical Failure Data for Microservice Systems

Wu, Li and Tordsson, Johan and Acker, Alexander and Kao, Odej

2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC), 227–236. 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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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, To appear. 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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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

Dominik Scheinert and Alexander Acker

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

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2021

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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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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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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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, To appear. 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, To appear. 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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