公开(公告)号：US20210409306A1

公开(公告)日：2021-12-30

申请号：US17247891

申请日：2020-12-29

Applicant: Juniper Networks, Inc.

Inventor： Ankur Neog ,  Sanjeev Kumar Mishra ,  Santosh Kottanipral Mathews

IPC: H04L12/721 ,  H04L12/751 ,  H04L12/707 ,  H04L12/703 ,  H04L12/24 ,  G06K9/62 ,  G06N20/00

Abstract: This disclosure describes techniques that include determining the health of one or more routing engines included within a router. In one example, this disclosure describes a method that includes performing, by a first routing engine included within a router, routing operations, wherein the router includes a plurality of routing engines, including the first routing engine and a second routing engine; receiving, by a computing system, data including health indicators associated with the first routing engine; applying, by the computing system, a machine learning model to the data to determine, from the health indicators, a health status of the first routing engine, wherein the machine learning model has been trained to identify the health status from the health indicators; and determining, by the computing system and based on the health status of the first routing engine, whether to switch routing operations to the second routing engine from the first routing engine.

公开(公告)号：US11563671B2

公开(公告)日：2023-01-24

申请号：US17247891

申请日：2020-12-29

Applicant: Juniper Networks, Inc.

Inventor： Ankur Neog ,  Sanjeev Kumar Mishra ,  Santosh Kottanipral Mathews

IPC: H04L45/12 ,  H04L45/02 ,  H04L45/00 ,  G06N20/00 ,  H04L41/0604 ,  G06K9/62 ,  H04L45/28 ,  G06N20/10 ,  G06N5/04 ,  G06F11/30

Abstract: This disclosure describes techniques that include determining the health of one or more routing engines included within a router. In one example, this disclosure describes a method that includes performing, by a first routing engine included within a router, routing operations, wherein the router includes a plurality of routing engines, including the first routing engine and a second routing engine; receiving, by a computing system, data including health indicators associated with the first routing engine; applying, by the computing system, a machine learning model to the data to determine, from the health indicators, a health status of the first routing engine, wherein the machine learning model has been trained to identify the health status from the health indicators; and determining, by the computing system and based on the health status of the first routing engine, whether to switch routing operations to the second routing engine from the first routing engine.