公开(公告)号：US20240406058A1

公开(公告)日：2024-12-05

申请号：US18629132

申请日：2024-04-08

Applicant: Nvidia Corporation

Inventor： Elad Alon ,  Eitan Zahavi ,  Gaby Diengott ,  Shie Mannor ,  Vadim Gechman

IPC: H04L41/0659 ,  H04L41/147 ,  H04L43/06 ,  H04L43/0811

Abstract: A network monitor may execute, or communicate with, one or more stored machine learning models that are trained to predict a failure probability for one or more ports and/or links within a network fabric. Systems and methods may monitor a set of ports and/or links to generate predictions for failure probabilities using a first trained model and low frequency telemetry data. For a subset of ports and/or links with failure probabilities exceeding a first threshold, high speed telemetry data may be used by a second trained model to generate predictions for failure probabilities for the subset of ports. Suspicious ports may then be isolated and undergo various remediation and/or monitoring actions prior to de-isolating the isolated ports.