Edge device anomaly self-analysis and resolution using a self-organizing infrastructure system
AssigneeDell Products L.P.
InventorsDEEPAGANESH PAULRAJ, DALE WANG, MIN GONG, ASHOK NARAYANAN POTTI
Life of this patent
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Abstract
Methods and systems for managing anomaly analysis and resolution of a data processing system are disclosed. In particular, a self-organized infrastructure system may be configured such that data processing systems within a computer and/or computing infrastructure may be able to manage their own anomaly analysis and resolution without the need for relying on or interference by a central processing entity.
Claims20
A method for managing anomaly analysis and resolution of a data processing system, the method being performed by the data processing system and comprising:
- detecting a potential anomaly of the data processing system;
- classifying the potential anomaly to obtain an anomaly classification;
- determining, using the anomaly classification, a set of data required for analyzing the potential anomaly and collect the set of data;
- generating, using the set of data, a model for analyzing the potential anomaly;
- analyzing the potential anomaly using the model to obtain an anomaly insight for the potential anomaly, the anomaly insight indicating whether the potential anomaly is a real anomaly that should be resolved or a false alarm;
- and
- performing, in response to the anomaly insight indicating that the potential anomaly is the real anomaly that should be resolved, one or more anomaly resolution actions to resolve the real anomaly and obtain an anomaly resolved data processing system.
A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations for managing anomaly analysis and resolution of a data processing system, the operations comprising:
- detecting a potential anomaly of the data processing system;
- classifying the potential anomaly to obtain an anomaly classification;
- determining, using the anomaly classification, a set of data required for analyzing the potential anomaly and collect the set of data;
- generating, using the set of data, a model for analyzing the potential anomaly;
- analyzing the potential anomaly using the model to obtain an anomaly insight for the potential anomaly, the anomaly insight indicating whether the potential anomaly is a real anomaly that should be resolved or a false alarm;
- and
- performing, in response to the anomaly insight indicating that the potential anomaly is the real anomaly that should be resolved, one or more anomaly resolution actions to resolve the real anomaly and obtain an anomaly resolved data processing system.
A data processing system, comprising:
- a processor;
- and
- a memory coupled to the processor to store instructions, which when executed by the processor, cause the processor to perform operations for managing anomaly analysis and resolution, the operations comprising:
- detecting a potential anomaly of the data processing system;
- classifying the potential anomaly to obtain an anomaly classification;
- determining, using the anomaly classification, a set of data required for analyzing the potential anomaly and collect the set of data;
- generating, using the set of data, a model for analyzing the potential anomaly;
- analyzing the potential anomaly using the model to obtain an anomaly insight for the potential anomaly, the anomaly insight indicating whether the potential anomaly is a real anomaly that should be resolved or a false alarm;
- and
- performing, in response to the anomaly insight indicating that the potential anomaly is the real anomaly that should be resolved, one or more anomaly resolution actions to resolve the real anomaly and obtain an anomaly resolved data processing system.
Dependencies are inferred from the claim text.