20240028444. METHODS AND SYSTEMS FOR USING MACHINE LEARNING TO RESOLVE PERFORMANCE PROBLEMS WITH OBJECTS OF A DATA CENTER simplified abstract (VMware, Inc.)
METHODS AND SYSTEMS FOR USING MACHINE LEARNING TO RESOLVE PERFORMANCE PROBLEMS WITH OBJECTS OF A DATA CENTER
Organization Name
Inventor(s)
Ashot Nshan Harutyunyan of Yerevan (AM)
Arnak Poghosyan of Yerevan (AM)
Lilit Harutyunyan of Yerevan (AM)
Nelli Aghajanyan of Yerevan (AM)
Tigran Bunarjyan of Yerevan (AM)
Marine Harutyunyan of Yerevan (AM)
METHODS AND SYSTEMS FOR USING MACHINE LEARNING TO RESOLVE PERFORMANCE PROBLEMS WITH OBJECTS OF A DATA CENTER - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240028444 titled 'METHODS AND SYSTEMS FOR USING MACHINE LEARNING TO RESOLVE PERFORMANCE PROBLEMS WITH OBJECTS OF A DATA CENTER
Simplified Explanation
The abstract describes automated computer-implemented methods and systems for resolving performance problems with objects executing in a data center. These methods use machine learning to obtain rules that define relationships between probabilities of event types in log messages and performance problems identified by a key performance indicator (KPI) of the object. When a KPI violates a threshold, the rules are used to evaluate runtime log messages that describe the probable root cause of the performance problem. An alert is generated to identify the KPI threshold violation, and the log messages are displayed in a graphical user interface.
- The patent/application describes automated methods and systems for resolving performance problems in a data center.
- Machine learning is used to obtain rules that define relationships between event probabilities in log messages and performance problems identified by a KPI.
- When a KPI threshold is violated, the rules are used to evaluate runtime log messages to determine the probable root cause of the performance problem.
- An alert is generated to identify the KPI threshold violation, and the log messages are displayed in a graphical user interface.
Potential Applications:
- Resolving performance problems in data centers.
- Identifying root causes of performance issues in real-time.
- Providing alerts and displaying log messages in a user-friendly interface.
Problems Solved:
- Resolving performance problems with objects executing in a data center.
- Identifying the root cause of performance problems based on log messages.
- Automating the process of evaluating log messages and generating alerts for KPI threshold violations.
Benefits:
- Improved efficiency in resolving performance problems.
- Real-time identification of root causes for faster problem resolution.
- User-friendly interface for displaying alerts and log messages.
Original Abstract Submitted
automated computer-implemented methods and systems for resolving performance problems with objects executing in a data center are described. the automated methods use machine learning to obtain rules defining relationships between probabilities of event types of in log messages and performance problems identified by a key performance indictor (“kpi”) of the object. when a kpi violates a corresponding threshold, the rules are used to evaluate run time log messages that describe the probable root cause of the performance problem. an alert identifying the kpi threshold violation, and the log messages are displayed in a graphical user interface of an electronic display device.
