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2021

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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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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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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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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2022

A Priority-Aware Multiqueue NIC Design for Real-Time IoT Devices

Ilja Behnke, Philipp Wiesner, Robert Danicki, and Lauritz Thamsen

The 37th ACM/SIGAPP Symposium on Applied Computing (SAC '22). ACM, To appear. 2022

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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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