SRLG failure localization using nested M-trails

M. L. Ali, P. Ho, János Tapolcai
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引用次数: 2

Abstract

This paper introduces a novel technique called nested m-trail method in all-optical mesh networks for failure localization of any shared risk link group (SRLG) with up to d undirected links. The proposed method decomposes each network topology that is at least d-connected into virtual cycles and trails, in which sets of m-trails that traverse through a common monitoring node (MN) can be obtained. The nested m-trails are used in the monitoring burst (m-burst) framework, in which the MN can localize any SRLG failure by inspecting the optical bursts traversing through it. An integer linear program (ILP) and a heuristic are proposed for the network decomposition, which are further verified by numerical experiments. We show that the proposed method significantly reduces the required fault localization latency compared to the existing methods.
使用嵌套M-trails进行SRLG故障定位
本文介绍了一种新的全光网状网络中的嵌套m-trail方法,用于无向链路的任意共享风险链路群(SRLG)的故障定位。该方法将每个至少有d连通的网络拓扑分解为虚拟环路和虚拟轨迹,其中可以获得穿过公共监控节点(MN)的m-轨迹集。在监测突发(m-burst)框架中使用嵌套的m-trails,其中MN可以通过检查穿过它的光突发来定位任何SRLG故障。提出了一种整数线性规划(ILP)和一种启发式的网络分解方法,并通过数值实验对其进行了验证。结果表明,与现有方法相比,该方法显著降低了故障定位所需的延迟时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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