An Autonomous Service Fault Recovery Algorithm for Software-Defined Command and Control Systems Based on Stackelberg Game

To enhance the reliability of the service layer in software-defined command and control systems, this paper presents a Stackelberg-based Dynamic Migration Algorithm (SBDM) designed to mitigate service degradation and failures. The proposed approach enables automatic service migration from malfunctioning devices to alternative servers, thereby improving task execution efficiency and overall system robustness. Key advantages include reduced migration time and minimized network latency. Given the intricate service dependencies within command and control systems, the control center first identifies a set of viable servers as the migration domain. Once migration costs are assessed, service nodes within this domain engage in a game-theoretic decision-making process. A swarm intelligence optimization method is incorporated to expedite convergence towards an optimal service-to-node mapping. Subsequently, services are migrated, and network configurations are updated accordingly. Experimental evaluations indicate that, in comparison to existing service migration and reconfiguration strategies, the proposed algorithm enhances resource allocation, balances network traffic and computational loads, and ultimately boosts system responsiveness and reliability.