Measuring Self-Organisation Processes in Smart Camera Networks

Conference: ARCS 2016 - 29th International Conference on Architecture of Computing Systems
04/04/2016 - 04/07/2016 at Nürnberg, Deutschland

Proceedings: ARCS 2016

Pages: 6Language: englishTyp: PDF

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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)

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.