Inflicting cascade of failures in interdependent networks

Sotharith Tauch, William Liu, R. Pears
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Abstract

Interdependent networks are emerging in the critical infrastructures such as telecommunication and Internet networks, electrical smart grids, transportation networks, and many more. There are advantages of introducing interdependency into critical infrastructures to enhance the functional and operational capability. On the other hand, there is a critical tradeoff which is the cascading failures that propagate from one network to another network. The occurrence of this phenomena will cause major catastrophe to our lives that is hugely dependent on such critical infrastructure. Thus, there is a need to understand how cascading failures are spreading in interdependent networks and the sensitive factors that have a severe impact on these phenomena. In this paper, we have developed a cascade model to describe and quantify the effects of cascading failures in interdependent networks using Sandpile dynamic models as load distribution. The extensive analysis and numerical results have shown that the increase of interdependency links can enlarge the global cascade probability from one network to another network. In addition, the failures that triggered from a dense network can cause more severe damage to another network than the failures triggered from a sparse network.
在相互依赖的网络中造成一连串的失败
相互依赖的网络正在电信和互联网网络、智能电网、交通网络等关键基础设施中出现。在关键基础设施中引入相互依赖性以增强功能和操作能力是有好处的。另一方面,有一个关键的权衡,即从一个网络传播到另一个网络的级联故障。这种现象的发生将对我们的生活造成重大灾难,我们的生活非常依赖于这些关键的基础设施。因此,有必要了解级联故障是如何在相互依赖的网络中传播的,以及对这些现象产生严重影响的敏感因素。在本文中,我们开发了一个级联模型来描述和量化相互依赖网络中级联故障的影响,使用沙堆动态模型作为负载分布。广泛的分析和数值结果表明,相互依赖环节的增加可以扩大从一个网络到另一个网络的全局级联概率。此外,从密集网络中触发的故障可能比从稀疏网络中触发的故障对另一个网络造成更严重的破坏。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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