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In order to ensure the transmission Quality of Service (QoS), the network self-healing research has become an irreversible trend. This paper presents an autonomic distributed Self-Healing Algorithm (FPM-SHA), which alleviates the dependence on failure detection and cuts back the computational cost in traditional self-healing technologies via Q-learning based failure perceiving mechanism, multi-QoS constraints evaluation function and Boltzmann-Gibbs distribution based path selection strategy. Simulation results show that the proposed algorithm outperforms in recovery rate, diffserv-aware capability and network resource optimization.
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