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Study on Formal Modeling and Analysis Method Oriented Cognitive Network

机译:面向形式建模与分析方法的认知网络研究

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Cognitive network is a new approach to solve self-management of complex heterogeneous network, and its model and analysis method are key problems to be solved. a formal modeling and analysis method for cognitive network is proposed based on stochastic process algebra. Firstly, basic concept of PEPA is introduced. then system behaviors are abstracted combining with cognitive essence, and formal models for cognitive network are constructed from the angles of macroscopic operating states and internal services with PEPA respectively. on the basis, quantitative analysis method is discussed. the proposed modeling and analysis method has the features logical accuracy, which can apply in any phases and direct the designation of cognitive network.
机译:认知网络是解决复杂异构网络自我管理的一种新方法,其模型和分析方法是有待解决的关键问题。提出了一种基于随机过程代数的认知网络形式化建模与分析方法。首先介绍了PEPA的基本概念。然后结合认知本质对系统行为进行抽象,分别从宏观运行状态和内部服务与PEPA的角度构建认知网络的形式化模型。在此基础上,讨论了定量分析方法。所提出的建模和分析方法具有逻辑准确性的特征,可以应用于任何阶段,并指导认知网络的设计。

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