49 citations · 87 across the 9 of their papers we have counts for
12 papers
Scalable and Data-Driven Decision Support in the Maintenance, Repair, and Overhaul Process
Houkun Zhu, Helena Ebel, Dominik Scheinert +3
Several businesses apply maintenance, repair, and overhaul (MRO) principles to the life-cycle of their existing products. In cases like casted gas turbine component Product Lifecyc…
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…
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…
Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series
Kevin Styp-Rekowski, Florian Schmidt, Odej Kao
Forecasting of time series in continuous systems becomes an increasingly relevant task due to recent developments in IoT and 5G. The popular forecasting model ARIMA is applied to a…