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Evaluation and Design of Elastic Optical Networks Resilient to Multiple Node Failures

机译:弹性多点故障弹性光网络的评估和设计

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Consider an existing Elastic Optical Network (EON) with a given topology composed by nodes and connecting fibers, each fiber with a given spectrum capacity. Consider an estimated set of demands to be supported and a routing, modulation and spectrum assignment (RMSA) policy adopted by the operator both for the regular state and for the failure states. First, we address the resilience evaluation of the EON to multiple node failures. We adopt a worst-case approach by identifying the nodes (named critical nodes) whose simultaneous failure maximally reduce the demand percentage that is supported by the network and we use this percentage as the resilience metric. Then, for the same estimated demands, the same RMSA policy and a fiber budget equal to the total fiber length of the existing network, we address the design problem aiming to determine a new EON maximizing the resilience metric imposed by its critical nodes. We use a multi-start greedy randomized method that generates multiple EONs and returns the best one, i.e., the EON with the highest resilience metric. We run the evaluation and design methods on known network topologies. The computational results let us (i) analyze the efficiency of the methods and (ii) assess how far the resilience of existing networks are from the best ones.
机译:考虑一个具有给定拓扑结构的现有弹性光网络(EON),该拓扑结构由节点和连接光纤组成,每个光纤具有给定的频谱容量。考虑要支持的一组估计需求,以及运营商针对常规状态和故障状态所采用的路由,调制和频谱分配(RMSA)策略。首先,我们解决了EON对多个节点故障的弹性评估。我们通过确定同时发生故障的节点(称为关键节点)来最大程度地降低网络支持的需求百分比的最坏情况方法,并将该百分比用作弹性指标。然后,对于相同的估计需求,相同的RMSA策略和等于现有网络总光纤长度的光纤预算,我们解决了设计问题,旨在确定一个新的EON,以最大化其关键节点施加的弹性指标。我们使用多起点贪婪随机方法来生成多个EON并返回最佳EON,即具有最高弹性指标的EON。我们在已知的网络拓扑上运行评估和设计方法。计算结果使我们(i)分析方法的效率,以及(ii)评估现有网络的弹性与最佳网络的弹性之间的距离。

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