Abstract: Methods are provided for a collaborative, decentralized insight engineering based on exchanging telemetry vectors with peer network devices. Each network device independently detects a deviation in its functioning using machine learning of generated feature vectors. Specifically, the methods involve obtaining, from at least one peer network device, at least a first feature vector that represents at least one insight generated from telemetry data of a respective peer network device. The intermediate network device and the at least one peer network device are configured to forward packets of a traffic flow. The methods further involve determining whether a deviation related to one or more of the network devices, exists based at least on the first feature vector and performing the at least one predefined action based on determining that the deviation exists.

Abstract: A two-piece hood support bumper of such construction that it can be set at an infinitely determinable height by the weight and/or position of the hood itself during the process of installing the support member, and whereby the support member is permanently set in that position by an adhesive carried within the two-piece member prior to the final position being set. A method of installing a vehicle hood assembly by providing a self-height adjusting support member intermediate the ends of the hoods and at both side edges, and which is set in its final position after bringing both ends of the hood into a condition flush with the adjoining body panels and wherein the height of the support member is established by the hood itself as it is brought to rest on the front hood bumpers.