Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Often network components work correctly, yet end-to-end services don’t. This happens if configuration parameters of components are set to incorrect values. Configuration is a fu...
Today’s complex production systems allow to simultaneously build different products following individual production plans. Such plans may fail due to component faults or unfores...
Problem determination remains one of the most expensive and time-consuming functions in system management due to the difficulty in automating what is essentially a highly experien...
Hai Huang, Raymond B. Jennings III, Yaoping Ruan, ...
Multilevel Flow Models (MFM) are graphical models of goals and functions of technical systems. MFM was invented by Morten Lind at the Technical University of Denmark and several n...