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Going the Extra Mile with Disaster-Aware Network Augmentation

机译:通过灾难感知网络增强进行额外的英里

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Network outages have significant economic and societal costs. While network operators have become adept at managing smaller failures, this is not the case for larger, regional failures such as natural disasters. Although it is not possible, and certainly not economic, to prevent all potential disaster damage and impact, we can reduce their impact by adding cost-efficient, geographically redundant, cable connections to the network.In this paper, we provide algorithms for finding cost-efficient, disaster-aware cable routes based on empirical hazard data. In contrast to previous work, our approach finds disaster-aware routes by considering the impact of a large set of input disasters on the network as a whole, as well as on the individual cable. For this, we propose the Disaster-Aware Network Augmentation Problem of finding a new cable connection that minimizes a function of disaster impact and cable cost. We prove that this problem is NP-hard and give an exact algorithm, as well as a heuristic, for solving it. Our algorithms are applicable to both planar and geographical coordinates. Using actual seismic hazard data, we demonstrate that by applying our algorithms, network operators can cost-efficiently raise the resilience of their network and future cable connections.
机译:网络中断具有重要的经济和社会成本。虽然网络运营商已经擅长管理较小的故障,但对于更大的区域失败,例如自然灾害,这不是这种情况。虽然是不可能的,但肯定不是经济,以防止所有潜在的灾难损坏和影响,我们可以通过增加成本高效,地理冗余,电缆连接来减少它们的影响。在本文中,我们提供了寻找成本的算法 - 基于经验危险数据的效率,灾害感知电缆路线。与以前的工作相比,我们的方法通过考虑整个网络以及各个电缆,通过考虑大量的输入灾害对网络的影响,找到灾难感知路由。为此,我们提出了发现新电缆连接的灾害感知网络增强问题,可最大限度地减少灾难影响和电缆成本的功能。我们证明了这个问题是NP - 硬,并给出一个精确的算法,以及启发式,以解决它。我们的算法适用于平面和地理坐标。使用实际地震危险数据,我们证明通过应用我们的算法,网络运营商可以成本高效地提高其网络和未来电缆连接的弹性。

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