Measuring Self-Organisation Processes in Smart Camera Networks

Konferenz: ARCS 2016 - 29th International Conference on Architecture of Computing Systems
04.04.2016 - 07.04.2016 in Nürnberg, Deutschland

Tagungsband: ARCS 2016

Seiten: 6Sprache: EnglischTyp: PDF

Persönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt

Autoren:
Rudolph, Stefan; Jaenen, Uwe; Tomforde, Sven; Haehner, Joerg (Lehrstuhl für Organic Computing, Augsburg University, Eichleitnerstr. 30, 86159 Augsburg, Germany)
Kantert, Jan; Mueller-Schloer, Christian (Institute of Systems Engineering, Leibniz University Hanover, Appelstr. 4, 30167 Hanover, Germany)

Inhalt:
The increasing complexity in technical systems is often countered by means of self-organisation. As a result, design-time decisions are transferred to runtime and into the responsibilities of systems themselves. In order to allow for such a process, self-organisation must be measurable as basis for comparing different concepts. In this work, we apply our recently developed technique to estimate self-organisation at runtime to an application scenario from the smart camera domain. We show how the metric performs in different situations and quantify the degree of self-organisation within the system in different stages of the process, and as a result of disturbances.