相互依存网络边攻击下的相继故障研究

发布时间：2018-06-26 09:05

本文选题：相互依存网络 + 生成函数　；参考：《小型微型计算机系统》2013年03期

【摘要】：许多现实的网络彼此间相互作用与依存,一个或几个网络的故障将导致网络间的相继故障,最终导致相互依存的网络系统整体失效.为解决边攻击下的相互依存网络的相继故障及其渗流问题,提出一个理论框架,运用生成函数和渗流理论,分析边攻击下的相互依存网络的相继故障渗流及其结果.并以相互依存的随机网络和无标度网络作为实例,进行实例分析与仿真实验.仿真结果与理论分析相符并表明:相比于单独网络,随机边攻击下的相互依存网络因其广度度分布增加了其脆弱性,且故障渗流相变为一级相变;相互依存的无标度网络的鲁棒性比相互依存的随机网络的鲁棒性差,其原因是相互依存的无标度网络中存在一个网络中的小度节点连接另一网络的大度中心节点引起网络间故障级联面的增大.
[Abstract]:Many real networks interact and depend on each other. The failure of one or more networks will lead to successive failures among the networks and eventually lead to the failure of the interdependent network system as a whole. In order to solve the problem of successive faults and percolation of interdependent networks under edge attack, a theoretical framework is proposed to analyze the successive fault seepage and its results of interdependent networks under edge attack by using generating function and seepage theory. Taking the interdependent random network and scale-free network as examples, the case analysis and simulation experiments are carried out. The simulation results agree with the theoretical analysis and show that: compared with the single network, the interdependence network under random edge attack increases its vulnerability because of its breadth distribution, and the phase transition of fault seepage is a first order phase transition; The robustness of interdependent scale-free networks is worse than that of interdependent random networks. The reason is that the existence of a small node in one network connected to the large center node of another network in an interdependent scale-free network results in the increase of the fault concatenation surface between the networks.
【作者单位】：湖南城市学院物理与电信工程系;
【基金】：益阳市科技计划项目(2011JZ45)资助湖南省科技计划项目(2011GK3067)资助
【分类号】：TP393.08

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