EARLY ANALYSIS OF THE SYSTEM DYNAMICS OF SELF-OPTIMIZING SYSTEMS
Self-optimizing (s.o.) systems have inherent partial intelligence and are able to adapt their behaviour during operation autonomously, due to changing objectives. Application examples have shown their costs and benefits. These properties are influenced by design decisions. The benefit of s.o. systems appears during its operation. Its behaviour in this phase is strongly influenced by its dynamic. To be able to estimate costs and benefits within the conceptual design, this dynamic must be taken into account. This paper provides a method to analyse the dynamic of s.o. systems model-based.