Abstract: In one embodiment, a server in a network reports one or more symptoms of a monitored device that is malfunctioning to a user interface via a particular chatbot session. The server receives, via the particular chatbot session, a triage request to enter a triage mode regarding the one or more reported symptoms. The server predicts a corrective action using the one or more reported symptoms as input to a machine learning model. The machine learning model is trained using a history of observed symptoms in the network, a history of corrective actions initiated via chatbot sessions and associated with the observed symptoms, and a history of feedback regarding the corrective actions received via the chatbot sessions. The server provides the predicted corrective action to the user interface via the particular chatbot session as a suggested corrective action, in response to the received triage request.

Abstract: A distributed inter-domain constraints-based routing technique is provided herein. A problem solving request is sent to nodes in a plurality of network domains that have a potential path between a source node and the destination node. The problem solving request includes one or more constraints associated with a routing function for traffic between the source node and destination node. Local path solutions are generated at nodes in domains that receive the problem solving request, where the local path solutions representing possible paths from a previous neighbor network domain to a next neighbor network domain that satisfy the one or more constraints. Based on the local path solutions, a determination is made as to whether there is at least one path from the source node to the destination node that satisfies the one or more constraints.

Abstract: A distributed inter-domain constraints-based routing technique is provided herein. A problem solving request is sent to nodes in a plurality of network domains that have a potential path between a source node and the destination node. The problem solving request includes one or more constraints associated with a routing function for traffic between the source node and destination node. Local path solutions are generated at nodes in domains that receive the problem solving request, where the local path solutions representing possible paths from a previous neighbor network domain to a next neighbor network domain that satisfy the one or more constraints. Based on the local path solutions, a determination is made as to whether there is at least one path from the source node to the destination node that satisfies the one or more constraints.