Fast learning to train learning machines using shadow joining

摘要

In one embodiment, a node receives a request to initiate a shadow joining operation to shadow join a field area router (FAR) of a computer network, and preserves its data structures and soft states. The shadow joining operation may then be initiated to shadow join the FAR, wherein shadow joining comprises preforming join operations without leaving a currently joined-FAR, and the node measures one or more joining metrics of the shadow joining operation, and reports them accordingly. In another embodiment, a FAR (or other management device) determines a set of nodes to participate in a shadow joining operation, and informs the set of nodes of the shadow joining operation to shadow join the FAR. The device (e.g., FAR) participates in the shadow joining operation, and receives reports of one or more joining metrics of the shadow joining operation measured by the set of nodes.

主权项

1. A method, comprising:
receiving, at a node, a request to initiate a shadow joining operation to shadow join a field area router (FAR) of a computer network, wherein the FAR is a root node and the shadow joining operation triggers a fake joining sequence with the FAR in order to measure one or more joining metrics that are provided to a learning machine process executing on the node; preserving data structures and soft states of the node; initiating the shadow joining operation to shadow join the FAR, wherein shadow joining comprises preforming join operations without leaving currently joined-FARs; measuring the one or more joining metrics of the shadow joining operation; and reporting the one or more joining metrics.