Invention Grant
- Patent Title: Self-learning correlation of network patterns for agile network operations
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Application No.: US16696815Application Date: 2019-11-26
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Publication No.: US11323304B2Publication Date: 2022-05-03
- Inventor: Biswadeb Dutta , Raul De Diego Merino , Didier Albet
- Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
- Applicant Address: US TX Houston
- Assignee: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
- Current Assignee: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
- Current Assignee Address: US TX Houston
- Agency: Sheppard Mullin Richter & Hampton LLP
- Priority: EP19315056 20190703
- Main IPC: H04L12/24
- IPC: H04L12/24 ; H04L41/0631 ; H04L41/0681 ; H04L41/069

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.
Public/Granted literature
- US20210006453A1 SELF-LEARNING CORRELATION OF NETWORK PATTERNS FOR AGILE NETWORK OPERATIONS Public/Granted day:2021-01-07
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