Invention Grant
- Patent Title: Proactive avoidance of performance issues in computing environments using a probabilistic model and causal graphs
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Application No.: US17664050Application Date: 2022-05-19
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Publication No.: US12130720B2Publication Date: 2024-10-29
- Inventor: Atri Mandal , Sudhir Shetty , Arpit Rathi
- Applicant: Healtech Software India Pvt. Ltd.
- Applicant Address: IN Bangalore
- Assignee: Healtech Software India Pvt. Ltd.
- Current Assignee: Healtech Software India Pvt. Ltd.
- Current Assignee Address: IN Karnataka
- Agency: IPHORIZONS PLLC
- Agent Narendra Reddy Thappeta
- Priority: IN 2141044662 2021.10.01
- Main IPC: G06F11/00
- IPC: G06F11/00 ; G06F11/07 ; G06F11/34 ; G06N7/01 ; G06N7/02

Abstract:
Proactive avoidance of performance issues in computing environments. In one embodiment, a causal dependency graph representing the usage dependencies among the various components of a computing environment is formed, the components being associated with key performance indicators (KPIs). A probabilistic model is trained with prior incidents that have occurred in the components to correlate outliers of KPIs in associated components to prior incidents. The training includes determining the correlation based on the causal dependency graph. Upon detecting the occurrence of outliers for performance metrics, an imminent performance issue likely to occur in a specific component is identified based on the probabilistic model and the detected outliers. A preventive action is performed to avoid the occurrence of the imminent performance issue in the specific component.
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