17 citations · 34 across the 7 of their papers we have counts for
7 papers
Continuously Testing Distributed IoT Systems: An Overview of the State of the Art
Jossekin Beilharz, Philipp Wiesner, Arne Boockmeyer +6
The continuous testing of small changes to systems has proven to be useful and is widely adopted in the development of software systems. For this, software is tested in environment…
Implicit Model Specialization through DAG-based Decentralized Federated Learning
Jossekin Beilharz, Bjarne Pfitzner, Robert Schmid +3
Federated learning allows a group of distributed clients to train a common machine learning model on private data. The exchange of model updates is managed either by a central enti…
From CCS-Planning to Testautomation: The Digital Testfield of Deutsche Bahn in Scheibenberg -- A Case Study
Arne Boockmeyer, Dirk Friedenberger, Lukas Pirl +8
The digitalization of railway systems should increase the efficiency of the train operation to achieve future mobility challenges and climate goals. But this digitalization also co…
Evaluation of Load Prediction Techniques for Distributed Stream Processing
Kordian Gontarska, Morgan Geldenhuys, Dominik Scheinert +3
Distributed Stream Processing (DSP) systems enable processing large streams of continuous data to produce results in near to real time. They are an essential part of many data-inte…
Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring
Kordian Gontarska, Weronika Wrazen, Jossekin Beilharz +3
Cardiovascular diseases and heart failures in particular are the main cause of non-communicable disease mortality in the world. Constant patient monitoring enables better medical t…
Interrupting Real-Time IoT Tasks: How Bad Can It Be to Connect Your Critical Embedded System to the Internet?
Ilja Behnke, Lukas Pirl, Lauritz Thamsen +3
Embedded systems have been used to control physical environments for decades. Usually, such use cases require low latencies between commands and actions as well as a high predictab…