Adaptive ε-greedy exploration for stable reconfiguration in next-gen aviation IMA systems
摘要
The next-generation aviation Integrated Modular Avionics (IMA) system adopts an architecture based on container technology, offering higher resource utilization and task configuration flexibility while increasing system reconfiguration complexity. Efficient reconfiguration strategies enhance adaptability and fault tolerance, ensuring stable operation and reduced maintenance costs. However, existing manual and heuristic-based methods struggle to meet current fault tolerance requirements. We propose an embedded container reconfiguration method using a Double Dueling DQN with Adaptive