Monitoring of an Artificial DNA in Dynamic Environments
Résumé
In the last decade, bio-inspired techniques like self-organization and emergence have been in the focus of several research projects to deal with the challenge to develop, to configure and to maintain highly distributed and embedded systems. In biology the structure and organization of a system is coded in its DNA, and several dynamic control flows are regulated by the hormone system. We adapted these concepts to embedded systems using an artificial DNA (ADNA) and an artificial hormone system (AHS). Based on these concepts, highly reliable, robust and flexible systems can be created. These properties predestine the ADNA and AHS for the use in future automotive applications.We showed in recent publications several examples for the use of the ADNA/AHS approach dealing with automotive applications running on the processors of a single distributed system of processors. We also showed how to adapt the ADNA/AHS approach so that different systems using the ADNA can merge at run-time if these systems come in communication range and form a new system including the ADNAs of both systems. In this contribution, we present and evaluate a way to monitor the ADNA and its tasks. This can be used to realize paywalls or security mechanisms for the ADNA.