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Neighborhood Failure Localization in All-Optical Networks via Monitoring Trails

机译:通过监视路径在全光网络中进行邻居故障本地化

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Shared protection, such as failure-dependent protection (FDP), is well recognized for its outstanding capacity efficiency in all-optical mesh networks, at the expense of lengthy restoration time due to multihop signaling mechanisms for failure localization, notification, and device configuration. This paper investigates a novel monitoring trail (m-trail) scenario, called Global Neighborhood Failure Localization (G-NFL), that aims to enable any shared protection scheme, including FDP, for achieving all-optical and ultra-fast failure restoration. We first define the neighborhood of a node, which is a set of links whose failure states should be known to the node in restoration of the corresponding working lightpaths (W-LPs). By assuming every node can obtain the on–off status of traversing m-trails and W-LPs via lambda monitoring, the proposed G-NFL problem routes a set of m-trails such that each node can localize any failure in its neighborhood. Bound analysis is performed on the minimum bandwidth required for m-trails under the proposed G-NFL problem. Then, a simple yet efficient heuristic approach is presented. Extensive simulation is conducted to verify the proposed G-NFL scenario under a number of different definitions of nodal neighborhood that concern the extent of dependency between the monitoring plane and data plane. The effect of reusing the spare capacity by FDP for supporting m-trails is examined. We conclude that the proposed G-NFL scenario enables a general shared protection scheme, toward signaling-free and ultra-fast failure restoration like p-Cycle, while achieving optimal capacity efficiency as FDP.
机译:诸如故障相关保护(FDP)之类的共享保护以其在全光网状网络中出色的容量效率而广受认可,但由于用于故障定位,通知和设备配置的多跳信令机制,恢复时间较长。本文研究了一种称为“全球邻域故障定位”(G-NFL)的新型监视跟踪(m-trail)方案,该方案旨在启用任何共享保护方案,包括FDP,以实现全光和超快速故障恢复。我们首先定义一个节点的邻域,该邻域是一组链路,在恢复相应的工作光路(W-LP)时,其故障状态应为该节点知道。通过假设每个节点都可以通过lambda监视来获得遍历m轨迹和W-LP的通断状态,提出的G-NFL问题路由了一组m轨迹,这样每个节点都可以定位其附近的任何故障。在提出的G-NFL问题下,对m-trails所需的最小带宽执行绑定分析。然后,提出了一种简单而有效的启发式方法。进行了广泛的仿真,以验证在节点邻域的许多不同定义下所提出的G-NFL方案,这些定义涉及监视平面和数据平面之间的依赖性程度。研究了FDP为支持m-trail重新使用备用容量的效果。我们得出的结论是,提出的G-NFL方案可以实现通用的共享保护方案,以实现无信号和超快速故障恢复(如p-Cycle),同时实现最佳的容量效率(如FDP)。

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