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多粒度光网络中多种粒度光通道的存在,任何故障均会造成网络服务质量的降低。一方面多粒度光网络具有单粒度光网络故障传播的特性;另一方面多粒度光网络的故障又分为不同的层,每一层对应一种类型的故障。通过对多粒度光网络光通道、光节点的分析,抽象出可告警不同粒度故障的物理信道模型,并将二叉树算法应用在模型中,实现故障位置和故障粒度的定位,并且对网络拓扑结构没有特殊的要求。
Multi-granularity optical network in a variety of granular optical channels exist, any failure will result in reduced network service quality. On the one hand, multi-granularity optical networks have the characteristics of single-granularity optical network failure propagation; on the other hand, multi-granularity optical network faults are divided into different layers, each corresponding to a type of fault. Through the analysis of optical channels and optical nodes in multi-granularity optical network, the physical channel models that can alert different granularity failures are abstracted, and the binary tree algorithm is applied to the model to locate the fault location and fault granularity. special request.