Consequence Oriented Self-Healing and Hybrid Diagnosis Integrating Decision Diagram, Fuzzy Logic and Neural Network

Computing systems become increasingly large and complex. Their dependability and autonomy are of great concern today, where self-healing is a challenging topic. This paper presented an innovative model and technology to realize the self-healing function under the real-time requirement. This approach, different from the 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, this paper proposes a hybrid tool that combines MDD, fuzzy logic and neural network, which is efficient, accurate and intelligent. Some examples to help illustrate the concepts are shown across the paper