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Large-scale network survivability association model based on set pair analysis theory

机译:基于集对分析理论的大规模网络生存能能关联模型

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Large-scale network has the characteristics of complex system, and its survivability is different from simple network. The current network survivability studies usually only aim for a specific network level or type, and seldom investigate survivability from a system perspective. In this paper, the concept of large-scale network survivability is defined from the perspective of complex system, the survivability association is analyzed based upon the correlation characteristics of complex system, and the structural model of large-scale network survivability association is established and its properties are analyzed. On the basis of survivability association properties, the survivability association function is defined based upon set pair analysis theory, which is utilized to characterize the survivability association degree among subsystems in large-scale network. Finally, the effectiveness of the model proposed in this paper is validated through case study.
机译:大型网络具有复杂系统的特点,其生存能力与简单网络不同。 目前的网络生存性研究通常仅瞄准特定的网络级别或类型,并且很少从系统角度调查生存能力。 在本文中,根据复杂系统的角度来定义大规模网络生存能力的概念,基于复杂系统的相关特性分析生存能力关联,建立了大规模网络生存能力关联的结构模型及其 分析属性。 在生存性关联特性的基础上,基于集对分析理论来定义生存能力关联功能,该函数用于在大型网络中的子系统中表征生存性结合程度。 最后,通过案例研究验证了本文提出的模型的有效性。

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