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Cascading network failure based on local load distribution and non-linear relationship between initial load and capacity

机译:基于局部负载分布和初始负载与容量之间的非线性关系的级联网络故障

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Inspired by previous existing works, based on the local preferential redistribution rule of the load and the non-linear relation between load and capacity, we put forward a cascading model which is more practical and more suitable for real networks. We analyze the model theoretically and simulate it on BA scale-free network. In comparison with the strongest robustness against cascading failures of the linear load-capacity model in the case of α = 0.5 , we find that the robustness of the network can reach stronger in the case of δ ≠ 1, which is a tunable parameter controlling the strength of the capacity of node in our model. The results show that the model is effective. So it may be helpful to control cascading network failure and research on cascading failure deeply.
机译:通过以前的现有作品的启发,基于负载和容量之间的局部优惠再分配规则和负载和容量之间的非线性关系,我们提出了一种更实用,更适合真实网络的级联模型。我们理论上分析模型,并在免费网络上模拟它。与α= 0.5的情况下,与线性负载能力模型的级联失败的最强稳健性相比,我们发现网络的鲁棒性可以在Δ≠1的情况下达到更强,这是控制的可调参数我们模型中节点能力的强度。结果表明该模型是有效的。因此,控制级联网络故障和级联故障的研究可能有助于深入。

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