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Publications of the Research Group

2019

Anomaly Detection from System Tracing Data Using Multimodal Deep Learning

S. Nedelkoski and J. Cardoso and O. Kao

2019 IEEE 12th International Conference on Cloud Computing (CLOUD), 179-186. 2019

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Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs

Thamsen, Lauritz and Verbitskiy, Ilya and Nedelkoski, Sasho and Tran, Vinh Thuy and Meyer, Vinicius and Xavier, Miguel G. and Kao, Odej and De Rose, Cesar A. F.

Euro-Par 2019: Parallel Processing Workshops. Springer, To appear. 2019

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Case Study: Visualizing Computer System Programming Concepts for Education

Schmidt, Florian and Ohlemacher, Johannes and Hennig, Vincent and Kao, Odej and Nordholz, Jan

SEFI 47th Annual Conference Proceedings - Complexity is the new normality. SEFI, 970-979. 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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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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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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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, To appear. 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, To appear. 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, To appear. 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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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, To appear. 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, 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, To appear. 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, To appear. 2020

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

Li Wu, Johan Tordsson, Alexander Acker and Odej Kao

UCC 2020: 13th IEEE/ACM International Conference on Utility and Cloud Computing, To appear. 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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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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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, To appear. 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

IoTSPT-ML 2020: 10th International Workshop on Security, Privacy, Trust, and Machine Learning for IoT. IEEE, To appear. 2020

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