Only the chairs can edit The rapid growth of high-bandwidth applications in fifth-generation (5G) networks and beyond has driven a substantial increase in traffic within transport optical networks. While network slicing effectively addresses diverse quality of service (QoS) requirements-including bit rate, latency, and reliability-it also amplifies vulnerabilities to failures, particularly when a single disruption in the optical layer impacts multiple services within the 5G network. To address these challenges, we propose a Fast Disrupted Service Prioritization (FDSP) algorithm that strategically allocates resources to the most critical disrupted services. Specifically, FDSP employs a fast-solving integer linear programming (ILP) model to evaluate three key factors-service priority, bit rate, and remaining holding time-and integrates a physical-layer impairment (PLI)-aware routing and spectrum allocation approach. By leveraging this combined strategy, FDSP minimizes service disruption while optimizing resource utilization. Simulation results on Germany's network demonstrate that our approach significantly enhances the reliability and efficiency of survivable 5G slicing, thereby reducing blocking probability.

翻译：第五代（5G）网络及后续网络中高带宽应用的快速增长，驱动了传输光网络内流量的显著增加。尽管网络切片能有效满足包括比特率、时延和可靠性在内的多样化服务质量（QoS）需求，但它也放大了网络对故障的脆弱性，尤其是在光层发生单一中断可能影响5G网络内多项服务的情况下。为应对这些挑战，我们提出了一种快速中断服务优先级排序（FDSP）算法，该算法能策略性地将资源分配给最关键的中断服务。具体而言，FDSP采用一个快速求解的整数线性规划（ILP）模型来评估三个关键因素——服务优先级、比特率和剩余保持时间，并集成了一个物理层损伤（PLI）感知的路由与频谱分配方法。通过利用这种组合策略，FDSP在优化资源利用率的同时，最大限度地减少了服务中断。在德国网络上的仿真结果表明，我们的方法显著提升了可生存5G切片的可靠性和效率，从而降低了阻塞概率。