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W

Massively Parallel Data Processing on Infrastructure as a Service Platforms

Daniel Warneke

2011 Technische Universität Berlin

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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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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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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. 2021

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Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads

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

28th International European Conference on Parallel and Distributed Computing (Euro-Par). Springer, to appear. 2022

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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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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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Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing

Will, Jonathan and Thamsen, Lauritz and Bader, Jonathan and Scheinert, Dominik and Kao, Odej

IEEE International Conference on Cloud Engineering (IC2E). IEEE, to appear. 2022

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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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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, 1853-1862. 2022

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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 (ICSOC), 700-707. 2021

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A Taxonomy of Anomalies in Log Data

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

2nd International Workshop on Artificial Intelligence for IT Operations (AIOPS), to appear. 2021

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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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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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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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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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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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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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Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning

Zhu, Houkun and Scheinert, Dominik and Thamsen, Lauritz and Gontarska, Kordian and Kao, Odej

IEEE International Conference on Cloud Engineering (IC2E). IEEE, to appear. 2022

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Extending WS-Agreement for dynamic negotiation of Service Level Agreements (Technical Report TR-0172, CoreGRID)

Wolfgang Ziegler and Philipp Wieder and Dominic Battré

2008

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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 System Architecture for Real-time Anomaly Detection in Large-scale NFV Systems

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

Procedia Computer Science. Elsevier, 491–496. 2016

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