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An Adaptive Path Restoration Algorithm Based on Power Series Routing for All-Optical Networks

机译:基于Power Series Routing的全光网络的自适应路径恢复算法

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In this paper we present a novel path restoration algorithm, named PSR-R. Our proposal is based on the power series routing (PSR) algorithm, which was proposed by Chaves et al. in 2011 for routing. The cost function for each link is given by a function expanded in a power series, considering as input variables the wavelength availability and the link length. The coefficients of the expanded function are determined by a global optimizer, which tries to minimize the rate of unsuccessful failure recovery (RUFR). We assessed our proposal by performing simulations of single link failures in a well-known network topology. The analytical model used to evaluate physical layer takes into account the following impairments: gain saturation, ASE noise depletion in the optical amplifiers, crosstalk in the optical switches, and polarization mode dispersion and residual chromatic dispersion in optical fibers. We compared our proposal with other approaches in different scenarios as a function of the network load. Our proposal outperformed all other approaches in terms of RUFR.
机译:在本文中,我们提出了一种名为PSR-R的新型路径恢复算法。我们的提案基于Power系列路由(PSR)算法,由Chaves等人提出。 2011年进行路由。每个链路的成本函数由在Power系列中扩展的功能给出,考虑到输入变量波长可用性和链路长度。扩展函数的系数由全局优化器确定,这试图最小化未成功的故障恢复(RUFR)的速率。我们通过在知名网络拓扑中执行单链路故障的模拟来评估我们的提案。用于评估物理层的分析模型考虑到以下损伤:获得饱和度,光学放大器中的ASE噪声耗尽,光学开关中的串扰,光纤中的偏振模式分散和残余色散。我们将我们的提案与不同场景中的其他方法进行了比较,作为网络负载的函数。我们的提案在RUFR方面表现出所有其他方法。

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