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Network and Risk Modeling for Disaster Survivability Analysis of Backbone Optical Communication Networks

机译:骨干光通信网络灾难生存性分析的网络与风险模型

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In recent years, survivability of optical communication networks against large-scale disaster failures has been studied. The survivability analyses done by most of the studies are based on arbitrary simplified disaster areas under the assumption of uniform disaster occurrence in a given area, and short-term evaluation of network robustness. However, for assessing the generic applicability and evaluating the performance of any protection, recovery, and/or topology design scheme irrespective of the varying geographical region and network topology, a stochastic model for disaster occurrence and optical network topology would be useful. In this paper, we propose a stochastic model to estimate the impact of earthquake disasters on a backbone optical network, namely, earthquake risk and backbone optical network (ERBON) model. We consider various stochastic distributions, real statistics, stochastic geometry, and graph theory to model seismic zonation, epicenter location and density, earthquake magnitudes, linkode failures, and network topology/connectivity. Furthermore, we propose an earthquake risk minimized node relocation (ERMNR) scheme that can improve the optical network's survivability. Performance of the proposed ERMNR scheme is evaluated under the proposed ERBON model and for real-world earthquake risk data from the U.S. and India.
机译:近年来,已经研究了光学通信网络对大规模灾害失败的生存能力。大多数研究所做的存活性分析是基于特定区域均匀灾害发生的任意简化的灾害区域,以及网络稳健性的短期评估。然而,为了评估通用适用性和评估任何保护,恢复和/或拓扑设计方案的性能,无论不同的地理区域和网络拓扑结构如何,灾害发生和光网络拓扑的随机模型都是有用的。在本文中,我们提出了一种随机模型来估算地震灾害对骨干光网络的影响,即地震风险和骨干光网络(ERBON)模型。我们考虑各种随机分布,真实统计,随机几何形状和图论模型地震区划,震中位置和密度,地震幅度,链路/节点故障以及网络拓扑/连接。此外,我们提出了一种最小化节点重定位(ERMNR)方案的地震风险,可以提高光学网络的生存能力。拟议的ERMNR计划的性能在拟议的Erbon模型下评估了来自美国和印度的现实世界地震风险数据。

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