Dynamically determining node locations to apply learning machine based network performance improvement

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.

主权项

1. A method, comprising:
calculating a degree of significance of nodes in a network, respectively, based on one or more significance factors; determining one or more significant nodes based on the calculated degree of significance; determining a nodal region in the network that has deteriorated network health; correlating the nodal region with the one or more significant nodes; based on the correlation, identifying one or more significant nodes in the nodal region; selecting the identified one or more significant nodes in the nodal region to apply a Learning Machine (LM) technique; and in response to selecting the identified one or more significant nodes, applying the LM technique to the selected significant nodes to improve network health of the nodal region.