Florian Schmidt

According to our database, Florian Schmidt authored at least 30 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Scalable and Data-driven Decision Support in the Maintenance, Repair, and Overhaul Process.

Houkun Zhu, Helena Ebel, Dominik Scheinert, Florian Schmidt, Jens Altenkirch, Odej Kao

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2022

Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams.

Soeren Becker, Dominik Scheinert, Florian Schmidt, Odej Kao

Proceedings of the 6th IEEE International Conference on Fog and Edge Computing, 2022

2021

Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper.

Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Florian Schmidt, Thorsten Wittkopp, Soeren Becker, Jorge Cardoso, Odej Kao

CoRR, 2021

EdgePier: P2P-based Container Image Distribution in Edge Computing Environments.

Soeren Becker, Florian Schmidt, Odej Kao

Proceedings of the IEEE International Performance, 2021

Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms.

Ana Juan Ferrer, Sören Becker, Florian Schmidt, Lauritz Thamsen, Odej Kao

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks.

Soeren Becker, Florian Schmidt, Lauritz Thamsen, Ana Juan Ferrer, Odej Kao

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021

2020

Anomaly detection in cloud computing environments.

Florian Johannes Schmidt

PhD thesis, 2020

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

Anko Börner, Heinz-Wilhelm Hübers, Odej Kao, Florian Schmidt, Soeren Becker, Joachim Denzler, Daniel Matolin, David Haber, Sergio Lucia, Wojciech Samek, Rudolph Triebel, Sascha Eichstädt, Felix Bießmann, Anna M. Kruspe, Peter Jung, Manon Kok, Guillermo Gallego, Ralf Berger

CoRR, 2020

Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series.

Kevin Styp-Rekowski, Florian Schmidt, Odej Kao

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Towards AIOps in Edge Computing Environments.

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

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Bitflow: An In Situ Stream Processing Framework.

Anton Gulenko, Alexander Acker, Florian Schmidt, Sören Becker, Odej Kao

Proceedings of the 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020

2019

Graph-based Feature Selection Filter Utilizing Maximal Cliques.

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

Proceedings of the Sixth International Conference on Social Networks Analysis, 2019

Anomaly Detection and Levels of Automation for AI-Supported System Administration.

Anton Gulenko, Odej Kao, Florian Schmidt

Proceedings of the Information Management and Big Data - 6th International Conference, 2019

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

René Wetzig, Anton Gulenko, Florian Schmidt

Proceedings of the Sixth International Conference on Internet of Things: Systems, 2019

2018

ViMEC: Interactive Application for Micro-Cluster Visualizations.

Florian Schmidt, Yannick Ehrenfeld

Proceedings of the 20th Eurographics Conference on Visualization, 2018

Unsupervised Anomaly Event Detection for Cloud Monitoring Using Online Arima.

Florian Schmidt, Florian Suri-Payer, Anton Gulenko, Marcel Wallschläger, Alexander Acker, Odej Kao

Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018

Decision Tree Visualization for High-Dimensional Numerical Data.

Dora Szucs, Florian Schmidt

Proceedings of the Fifth International Conference on Social Networks Analysis, 2018

IFTM - Unsupervised Anomaly Detection for Virtualized Network Function Services.

Florian Schmidt, Anton Gulenko, Marcel Wallschläger, Alexander Acker, Vincent Hennig, Feng Liu, Odej Kao

Proceedings of the 2018 IEEE International Conference on Web Services, 2018

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

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

Proceedings of the 7th IEEE International Conference on Cloud Networking, 2018

Unsupervised Anomaly Event Detection for VNF Service Monitoring Using Multivariate Online Arima.

Florian Schmidt, Florian Suri-Payer, Anton Gulenko, Marcel Wallschläger, Alexander Acker, Odej Kao

Proceedings of the 2018 IEEE International Conference on Cloud Computing Technology and Science, 2018

Online Density Grid Pattern Analysis to Classify Anomalies in Cloud and NFV Systems.

Alexander Acker, Florian Schmidt, Anton Gulenko, Odej Kao

Proceedings of the 2018 IEEE International Conference on Cloud Computing Technology and Science, 2018

Detecting Anomalous Behavior of Black-Box Services Modeled with Distance-Based Online Clustering.

Anton Gulenko, Florian Schmidt, Alexander Acker, Marcel Wallschläger, Odej Kao, Feng Liu

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017

Novel framework combining health records with medical algorithms.

Florian Schmidt, Vincent Hennig, Sarah Köhler, Marcel Wallschläger, Anton Gulenko, Hartmut Schmidt, Odej Kao

Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2017

SMiPE: Estimating the Progress of Recurring Iterative Distributed Dataflows.

Jannis Koch, Lauritz Thamsen, Florian Schmidt, Odej Kao

Proceedings of the 18th International Conference on Parallel and Distributed Computing, 2017

Automated Anomaly Detection in Virtualized Services Using Deep Packet Inspection.

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

Proceedings of the 14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017) / 12th International Conference on Future Networks and Communications (FNC 2017) / Affiliated Workshops, 2017

Patient-individual morphological anomaly detection in multi-lead electrocardiography data streams.

Alexander Acker, Florian Schmidt, Anton Gulenko, Reinhard Kietzmann, Odej Kao

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Scheduling Recurring Distributed Dataflow Jobs Based on Resource Utilization and Interference.

Lauritz Thamsen, Benjamin Rabier, Florian Schmidt, Thomas Renner, Odej Kao

Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016

Selecting resources for distributed dataflow systems according to runtime targets.

Lauritz Thamsen, Ilya Verbitskiy, Florian Schmidt, Thomas Renner, Odej Kao

Proceedings of the 35th IEEE International Performance Computing and Communications Conference, 2016

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

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

Proceedings of the 11th International Conference on Future Networks and Communications (FNC 2016) / The 13th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2016) / Affiliated Workshops, 2016

Evaluating machine learning algorithms for anomaly detection in clouds.

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

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016