Invention Grant
- Patent Title: Probabilistic root cause analysis
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Application No.: US17657628Application Date: 2022-03-31
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Publication No.: US12135605B2Publication Date: 2024-11-05
- Inventor: Sai Eswar Garapati , Erhan Giral
- Applicant: BMC Software, Inc.
- Applicant Address: US TX Houston
- Assignee: BMC Software, Inc.
- Current Assignee: BMC Software, Inc.
- Current Assignee Address: US TX Houston
- Agency: Brake Hughes Bellermann LLP
- Main IPC: G06F11/07
- IPC: G06F11/07 ; G06F16/901 ; G06N3/08 ; G06N5/022 ; H04L41/0631 ; H04L41/12 ; H04L41/14

Abstract:
Described systems and techniques determine causal associations between events that occur within an information technology landscape. Individual situations that are likely to represent active occurrences requiring a response may be identified as causal event clusters, without requiring manual tuning to determine cluster boundaries. Consequently, it is possible to identify root causes, analyze effects, predict future events, and prevent undesired outcomes, even in complicated, dispersed, interconnected systems.
Public/Granted literature
- US20230095270A1 PROBABILISTIC ROOT CAUSE ANALYSIS Public/Granted day:2023-03-30
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