SELF-LEARNING CORRELATION OF NETWORK PATTERNS FOR AGILE NETWORK OPERATIONS

    公开(公告)号:US20210006453A1

    公开(公告)日:2021-01-07

    申请号:US16696815

    申请日:2019-11-26

    Abstract: Various aspects of the subject technology relate to methods, systems, and machine-readable media for self-correlating network operations. The method includes receiving a stream of network messages, the stream of network messages comprising a variety of network events for various network devices. The method also includes identifying patterns within the stream of network messages, the patterns comprising groupings of the variety of network events. The method also includes determining for each pattern an appropriate operationalization scenario. The method also includes operationalizing the patterns as correlation rules in a correlation engine to automatically detect or predict network alarms from input provided by a fault management system.

    Self-learning correlation of network patterns for agile network operations

    公开(公告)号:US11323304B2

    公开(公告)日:2022-05-03

    申请号:US16696815

    申请日:2019-11-26

    Abstract: Various aspects of the subject technology relate to methods, systems, and machine-readable media for self-correlating network operations. The method includes receiving a stream of network messages, the stream of network messages comprising a variety of network events for various network devices. The method also includes identifying patterns within the stream of network messages, the patterns comprising groupings of the variety of network events. The method also includes determining for each pattern an appropriate operationalization scenario. The method also includes operationalizing the patterns as correlation rules in a correlation engine to automatically detect or predict network alarms from input provided by a fault management system.

Patent Agency Ranking