首页> 外国专利> DYNAMICALLY DETERMINING NODE LOCATIONS TO APPLY LEARNING MACHINE BASED NETWORK PERFORMANCE IMPROVEMENT

DYNAMICALLY DETERMINING NODE LOCATIONS TO APPLY LEARNING MACHINE BASED NETWORK PERFORMANCE IMPROVEMENT

机译:动态确定节点位置以应用基于学习机的网络性能改进

摘要

In one embodiment, techniques are shown and described relating to dynamically determining node locations to apply learning machine based network performance improvement. In particular, a degree of significance of nodes in a network, respectively, is calculated based on one or more significance factors. One or more significant nodes are then determined based on the calculated degree of significance. Additionally, a nodal region in the network of deteriorated network health is determined, and the nodal region of deteriorated network health is correlated with a significant node of the one or more significant nodes.
机译:在一个实施例中,示出并描述了与动态确定节点位置以应用基于学习机的网络性能改善有关的技术。具体而言,基于一个或多个重要性因子来分别计算网络中节点的重要性程度。然后根据计算出的重要性程度确定一个或多个重要节点。另外,确定网络健康状况恶化的网络中的节点区域,并将网络健康状况恶化的节点区域与一个或多个重要节点中的重要节点相关联。

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