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Analysis of Neural Network Model Design for Telecommunication Corporate Network Monitoring

机译:电信公司网络监控神经网络模型设计分析

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One key use case for a future neural network is mass inter-machine communication for the Internet of things (IoT) domain, which meets a wide range of requirements, from huge bandwidth to extremely low latency and huge heterogeneity of end devices in corporate network. Subsequently, the network shall provide the IoT network domain dedicated slice of the physical network. The network slicing concept describes a logical segment of a physical network that guarantees a set of QoS requirements. Importantly, they are provided for end-to-end communication to the core of the network. We discuss the neural network model design for telecommunication corporate network monitoring. Based on the applied analysis, it can be concluded that the neural network approach is used to optimize the corporate network structure.
机译:未来神经网络的一个关键用例是用于互联网(物联网)域的大众通信,这符合广泛的要求,从巨大的带宽到公司网络中最终设备的极低延迟和巨大的异质性。随后,网络应提供物理网络的IOT网络域专用切片。网络切片概念描述了一种物理网络的逻辑段,可确保一组QoS要求。重要的是,它们被提供用于网络核心的端到端通信。我们讨论了电信公司网络监控的神经网络模型设计。基于应用分析,可以得出结论,神经网络方法用于优化企业网络结构。

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