[Zurück]

D. Ratasich, T. Preindl, K. Selyunin, R. Grosu:
"Self-Healing by Property-Guided Structural Adaptation";
Vortrag: 1st IEEE International Conference on Industrial Cyber-Physical Systems (ICPS 2018), St. Petersburg; 15.05.2018 - 18.05.2018; in: "1st IEEE International Conference on Industrial Cyber-Physical Systems (ICPS 2018)", IEEE, (2018), ISBN: 978-1-5386-6531-2; S. 199 - 205.

Self-healing is an increasingly popular approach ensuring resiliency, that is, a proper adaptation to failures, in cyber-physical systems (CPS). A very promising way of achieving self-healing is through structural adaptation (SHSA), by replacing a failed component with a substitute component. We present a knowledge base modeling relations among system variables given that certain implicit redundancy exists in the system and show how to extract a substitute from that knowledge base using guided search. The result of our search, i.e., the substitute, is optimal w.r.t. a user-defined utility function considering properties of the system variables (e.g., accuracy). We demonstrate our approach - Self-Healing by Property-Guided Structural Adaptation (SH-PGSA) - by deploying it in a real-world CPS prototype of a rover whose sensors are susceptible to failure. We further show the increased runtime performance to find the optimal substitute by comparing it to related work.

self-healing, self-adaptation, cyber-physical systems, redundancy, dependability, resilience

http://dx.doi.org/10.1109/ICPHYS.2018.8387659