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Study on Formal Modeling and Analysis Method Oriented Cognitive Network

机译:正规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的自我管理的新方法,其模型和分析方法是要解决的关键问题。 基于随机过程代数提出了认知网络的正式建模与分析方法。 首先,介绍了Pepa的基本概念。 然后,系统行为被提高与认知本质相结合,并且认知网络的正式模型分别由宏观操作状态的角度和与脂肽的内部服务构成。 在基础上,讨论了定量分析方法。 所提出的建模和分析方法具有逻辑精度具有逻辑精度,可以应用于任何阶段并指定认知网络的指定。

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