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Degree-dependent and cascading node failures in random geometric networks

机译:随机几何网络中度依赖和级联节点故障

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We study the problem of resilience to node failures in large-scale networks modelled by random geometric graphs. Adopting a percolation-based viewpoint, we investigates the ability of the network to maintain global communication in the presence of dependent node failures. Degree-dependent site percolation processes on random geometric graphs are examined, and the first known analytical conditions are obtained for the existence and non-existence, respectively, of a large connected component of operational network nodes after degree-dependent node failures. In electrical power networks or wireless communication and computing networks, cascading failure from power blackouts or virus epidemics may result from a small number of initial node failures triggering global failure events affecting the whole network. With the use of a simple but descriptive model, it is shown that the cascading failure problem is equivalent to a degree-dependent percolation process. The first analytical conditions are obtained for the occurrence and non-occurrence of cascading failures, respectively, in large-scale networks with geometric constraints.
机译:我们研究了用随机几何图建模的大规模网络中节点故障恢复能力的问题。采用基于渗流的观点,我们研究了在存在依赖节点故障的情况下网络维护全局通信的能力。检查了随机几何图上与度相关的站点渗流过程,并获得了与度相关的节点故障后操作网络节点的大连接组件分别存在和不存在的第一个已知分析条件。在电力网络或无线通信和计算网络中,电源中断或病毒流行的级联故障可能是由少量初始节点故障触发的,从而触发了影响整个网络的全局故障事件。通过使用简单但描述性的模型,可以证明级联故障问题等同于与度有关的渗流过程。在具有几何约束的大型网络中,分别获得级联故障的发生和不发生的第一分析条件。

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