公开(公告)号：US11611488B2

公开(公告)日：2023-03-21

申请号：US17117315

申请日：2020-12-10

申请人： SBIT CO., LTD.

发明人： Dong Kwon Yoon

IPC分类号： H04L45/036 ,  H04L41/16 ,  G06N20/00 ,  H04L41/0213 ,  H04L41/0654 ,  H04L49/25

摘要： A machine learning technology-based fault management system for network equipment that supports SDN OpenFlow protocol that includes an L2 switch or a router, which is network equipment connected to a client; and an Artificial Intelligence (AI)-based Software Defined Network (SDN) controller requested for management commands for each scenario when the L2 switch or the router, which is network equipment connected to the client, encounters a network fault so that a Simple Network Management System (SNMP) agent installed in the L2 switch and the router determines the type of fault occurred on a network and AI is employed to recover from a current fault through learning results from past data. An effect is achieved that not only service quality is improved through real-time fault management using an AI-based automatic response against a network fault but also a fault is precisely overcome by using the AI-based automatic response.