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Threshold for the Outbreak of Cascading Failures in Degree-Degree Uncorrelated Networks

机译:度不相关网络中级联故障爆发的阈值

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摘要

In complex networks, the size of the giant component formed by unfailed nodes is critically important for estimating the robustness of networks against cascading failures. In order to explore the critical moment of cascading failures break-out, we provide a cascade of overload failure model with local load sharing mechanism and then deduce the threshold of node capacity when the large-scale cascading failures happen and unfailed nodes in steady state cannot connect to each other to form a large connected subnetwork. We get the theoretical derivation of this threshold in degree-degree uncorrelated networks and validate the effectiveness of this method in simulation. This threshold provides us with a guidance to improve the network robustness under the premise of limited capacity resource when creating a network and assigning load. Therefore, this threshold is useful and important to analyze the robustness of networks. We believe that our research provides us with a guidance to improve the network robustness under the premise of limited capacity resource.
机译:在复杂的网络中,由未发生故障的节点形成的巨型组件的大小对于评估网络对级联故障的鲁棒性至关重要。为了探索级联故障爆发的关键时刻,我们提供了一种具有局部负载分担机制的过载故障模型级联,然后推导了大规模级联故障发生而稳态的无故障节点无法承受时节点容量的阈值相互连接以形成大型的连接子网。我们得到度-度不相关网络中该阈值的理论推导,并验证了该方法在仿真中的有效性。在创建网络和分配负载时,此阈值为我们提供了在容量资源有限的前提下提高网络健壮性的指导。因此,此阈值对于分析网络的健壮性非常有用且重要。我们相信,我们的研究为我们在有限容量资源的前提下提高网络健壮性提供了指导。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第25期|752893.1-752893.7|共7页
  • 作者单位

    Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China;

    Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China;

    Zhejiang Sci Tech Univ, Sch Informat Sci & Technol, Hangzhou 310018, Peoples R China;

    Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China;

    Hunan Univ, Coll Elect & Informat Engn, Changsha 410015, Hunan, Peoples R China;

    Zhejiang Univ, Sch Informat & Elect Engn, City Coll, Hangzhou 310015, Zhejiang, Peoples R China;

    Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China;

    Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China;

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