海上救灾场景虚拟化资源调度算法设计

he virtual network mapping problem is a crucial technology in wireless network virtualization. Addressing the limitations of existing mapping algorithms that fail to fully adapt to the specific application requirements and complex environments of communication networks in maritime disaster scenarios, characterized by unique demands and environmental complexities, a new algorithm is proposed. The Resource Scheduling Cost Optimization based on Virtual Mapping (RSCO-VM) algorithm aims to minimize mapping costs while ensuring low latency. The algorithm takes into consideration the interference among wireless links, the impact of node failure probabilities on mapping performance. Experimental results demonstrate that the proposed algorithm achieves reduced cost consumption and efficient resource utilization while minimizing communication latency.