Immersive VR Network Management Analysis considering Automatic Topology Discovery Algorithms

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Abstract

In order to make up for the deficiency of a two-dimensional user interface, enhance the visualization of network information, and comprehensively and effectively improve the efficiency of network management, this paper attempts to use virtual reality technology to design the network management system and uses the research results of related fields for reference to carry out the specific practice, providing a new idea for the design and development of the network management system. The automatic topology discovery algorithm is introduced into the network management analysis, and the immersive network management is modularized by using the method of dividing subnets. Finally, the test results show that through the functional design of the system and the hierarchical description of the structural model, the practical method is given. Finally, the operation process of the simulation system is analyzed in detail. The proposed method can effectively reduce the network load and reduce the network bandwidth and greatly improve the slow convergence of the penetration VR network topology.

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APA

He, J. (2022). Immersive VR Network Management Analysis considering Automatic Topology Discovery Algorithms. Computational Intelligence and Neuroscience, 2022. https://doi.org/10.1155/2022/3625502

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