29 citations · 104 across the 14 of their papers we have counts for
14 papers
Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things
Soeren Becker, Kevin Styp-Rekowski, Oliver Vincent Leon Stoll +1
Enabled by the increasing availability of sensor data monitored from production machinery, condition monitoring and predictive maintenance methods are key pillars for an efficient…
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments
Dominik Scheinert, Babak Sistani Zadeh Aghdam, Soeren Becker +2
With increasingly more computation being shifted to the edge of the network, monitoring of critical infrastructures, such as intermediate processing nodes in autonomous driving, is…
Towards Advanced Monitoring for Scientific Workflows
Jonathan Bader, Joel Witzke, Soeren Becker +5
Scientific workflows consist of thousands of highly parallelized tasks executed in a distributed environment involving many components. Automatic tracing and investigation of the c…
Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows
Jonathan Bader, Nicolas Zunker, Soeren Becker +1
Scientific workflows are designed as directed acyclic graphs (DAGs) and consist of multiple dependent task definitions. They are executed over a large amount of data, often resulti…
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics
Dominik Scheinert, Soeren Becker, Jonathan Bader +3
Choosing a good resource configuration for big data analytics applications can be challenging, especially in cloud environments. Automated approaches are desirable as poor decision…
Macaw: The Machine Learning Magnetometer Calibration Workflow
Jonathan Bader, Kevin Styp-Rekowski, Leon Doehler +2
In Earth Systems Science, many complex data pipelines combine different data sources and apply data filtering and analysis steps. Typically, such data analysis processes are histor…
Network Emulation in Large-Scale Virtual Edge Testbeds: A Note of Caution and the Way Forward
Soeren Becker, Tobias Pfandzelter, Nils Japke +2
The growing research and industry interest in the Internet of Things and the edge computing paradigm has increased the need for cost-efficient virtual testbeds for large-scale dist…
SyncMesh: Improving Data Locality for Function-as-a-Service in Meshed Edge Networks
Daniel Habenicht, Kevin Kreutz, Soeren Becker +3
The increasing use of Internet of Things devices coincides with more communication and data movement in networks, which can exceed existing network capabilities. These devices ofte…
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams
Soeren Becker, Dominik Scheinert, Florian Schmidt +1
In highly distributed environments such as cloud, edge and fog computing, the application of machine learning for automating and optimizing processes is on the rise. Machine learni…
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 +2
Anomaly detection is increasingly important to handle the amount of sensor data in Edge and Fog environments, Smart Cities, as well as in Industry 4.0. To ensure good results, the…
EdgePier: P2P-based Container Image Distribution in Edge Computing Environments
Soeren Becker, Florian Schmidt, Odej Kao
Edge and fog computing architectures utilize container technologies in order to offer a lightweight application deployment. Container images are stored in registry services and ope…
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms
Ana Juan Ferrer, Soeren Becker, Florian Schmidt +2
In this paper we introduce our vision of a Cognitive Computing Continuum to address the changing IT service provisioning towards a distributed, opportunistic, self-managed collabor…
Towards AIOps in Edge Computing Environments
Soeren Becker, Florian Schmidt, Anton Gulenko +2
Edge computing was introduced as a technical enabler for the demanding requirements of new network technologies like 5G. It aims to overcome challenges related to centralized cloud…
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper
Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker +5
Artificial Intelligence for IT Operations (AIOps) is an emerging interdisciplinary field arising in the intersection between the research areas of machine learning, big data, strea…