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A Novel Approach for Failure Localization in All-Optical Mesh Networks

机译:全光网状网络中故障定位的新方法

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摘要

Achieving fast and precise failure localization has long been a highly desired feature in all-optical mesh networks. Monitoring trail (m-trail) has been proposed as the most general monitoring structure for achieving unambiguous failure localization (UFL) of any single link failure while effectively reducing the amount of alarm signals flooding the networks. However, it is critical to come up with a fast and intelligent m-trail design approach for minimizing the number of m-trails and the total bandwidth consumed, which ubiquitously determines the length of the alarm code and bandwidth overhead for the m-trail deployment, respectively. In this paper, the m-trail design problem is investigated. To gain a deeper understanding of the problem, we first conduct a bound analysis on the minimum length of alarm code of each link required for UFL on the most sparse (i.e., ring) and dense (i.e., fully meshed) topologies. Then, a novel algorithm based on random code assignment (RCA) and random code swapping (RCS) is developed for solving the m-trail design problem. The algorithm is verified by comparison to an integer linear program (ILP) approach, and the results demonstrate its superiority in minimizing the fault management cost and bandwidth consumption while achieving significant reduction in computation time. To investigate the impact of topology diversity, extensive simulation is conducted on thousands of random network topologies with systematically increased network density.
机译:长期以来,实现快速精确的故障定位一直是全光网状网络中非常需要的功能。监视跟踪(m-trail)已被建议为最通用的监视结构,用于实现任何单链路故障的明确故障定位(UFL),同时有效地减少泛洪网络的警报信号量。但是,至关重要的是要提出一种快速智能的m-rail设计方法,以最大程度地减少m-trails的数量和所消耗的总带宽,这无所不在地决定了警报代码的长度和m-trail部署的带宽开销, 分别。本文研究了m-rail设计问题。为了更深入地了解问题,我们首先对最稀疏(即环形)和密集(即全网状)拓扑中的UFL所需的每个链路的最小警报代码长度进行边界分析。然后,开发了一种基于随机代码分配(RCA)和随机代码交换(RCS)的新颖算法来解决m-trail设计问题。通过与整数线性程序(ILP)方法进行比较,验证了该算法,结果证明了该算法在最小化故障管理成本和带宽消耗的同时,显着减少了计算时间的优势。为了研究拓扑多样性的影响,对成千上万的随机网络拓扑进行了广泛的仿真,系统地增加了网络密度。

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