Consequence Oriented Self-Healing and Autonomous Diagnosis for Highly Reliable Systems and Software

Computing software and systems have become increasingly large and complex. As their dependability and autonomy are of great concern, self-healing is an ongoing challenge. This paper presents an innovative model and technology to realize the self-healing function under the real-time requirement. The proposed approach, different from existing technologies, is based on a new concept defined as consequence-oriented diagnosis and healing. Derived from the new concept, a prototype model for proactive self-healing actions is presented. Then, a hybrid diagnosis tool is proposed that takes advantages from the Multivariate Decision Diagram, Fuzzy Logic, and Neural Networks, achieving an efficient, effective, accurate, and intelligent result. The consequence-oriented diagnosis and self-healing function is also implemented. The experimental results exhibit that the innovative system is very effective and precise in predicting the consequence, and in preventing resulting software and system failures.