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Publications of the Research Group

V

Mobile cooperative WLANs – MAC and transceiver design, prototyping, and field measurements

Stefan Valentin and Hermann S. Lichte and Daniel Warneke and Thorsten Biermann and Rafael Funke and Holger Karl

Proceedings of the IEEE Vehicular Technology Conference (VTC-Fall). IEEE, 1-5. 2008

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CoBell: Runtime Prediction for Distributed Dataflow Jobs in Shared Clusters

Verbitskiy, Ilya and Thamsen, Lauritz and Renner, Thomas and Kao, Odej

2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). IEEE, 81-88. 2018

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When to Use a Distributed Dataflow Engine: Evaluating the Performance of Apache Flink

Verbitskiy, Ilya and Thamsen, Lauritz and Kao, Odej

In the Proceedings of the 2nd IEEE International Conference on Cloud and Big Data Computing (CBDCom). IEEE, 698-705. 2016

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W

Automated Anomaly Detection in Virtualized Services Using Deep Packet Inspection

Wallschläger, Marcel and Gulenko, Anton and Schmidt, Florian and Kao, Odej and Liu, Feng

Procedia Computer Science. Elsevier, 510–515. 2017

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Anomaly Detection for Black Box Services in Edge Clouds Using Packet Size Distribution

Wallschläger, Marcel and Gulenko, Anton and Schmidt, Florian and Acker, Alexander and Kao, Odej

2018 7th IEEE International Conference on Cloud Networking (CloudNet). IEEE. 2018

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Silent Consensus: Probabilistic Packet Sampling for Lightweight Network Monitoring

Wallschläger, Marcel and Acker, Alexander and Kao, Odej

Computational Science and Its Applications – ICCSA 2019. Springer International Publishing, 241–256. 2019

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Load Balancing in P2P Networks: Using Statistics to Fight Data and Execution Skew

Daniel Warneke and Christian Dannewitz

Journal of Advances in Information Technology (JAIT) - Special Issue on Advances in P2P Technology. Academy Publisher, 40–49. 2011

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Statistics-based ID Management for Load Balancing in Structured P2P Networks

Daniel Warneke and Christian Dannewitz

Proceedings of the 34rd IEEE Conference on Local Computer Networks (LCN 2009). IEEE Computer Society, 273–276. 2009

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Exploiting Dynamic Resource Allocation for Efficient Parallel Data Processing in the Cloud

Daniel Warneke and Odej Kao

Parallel and Distributed Systems, IEEE Transactions on. IEEE Press, 985-997. 2011

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Nephele: Efficient Parallel Data Processing in the Cloud

Daniel Warneke and Odej Kao

MTAGS '09: Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers. ACM, 1–10. 2009

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Exchangeable, Application-Independent Load Balancing for P2P Simulation Frameworks

Daniel Warneke and Ulf Rerrer-Brusch

OMNeT++ 2009: Proceedings of the 2nd International Workshop on OMNeT++ (hosted by SIMUTools 2009). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering). 2009

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Search for Similar Scenes in Newsfeeds based on Image Warping Techniques

C. Werner and Odej Kao and Ingo la Tendresse and M. Zibull

Proceedings of the International Conference on Imaging Science, Systems, and Technology, 542-548. 2003

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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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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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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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Z

Fa* ir: A fair top-k ranking algorithm

Zehlike, Meike and Bonchi, Francesco and Castillo, Carlos and Hajian, Sara and Megahed, Mohamed and Baeza-Yates, Ricardo

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 1569–1578. 2017

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Anomaly Detection and Classification using Distributed Tracing and Deep Learning

S. Nedelkoski and J. Cardoso and O. Kao

2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID). IEEE/ACM, 241-250. 2019

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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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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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