Network system fault resolution via a machine learning model
AssigneeJuniper Networks, Inc.
InventorsJisheng Wang, Xiaoying Wu, Shmuel Shaffer, David Jea
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Abstract
Disclosed are embodiments for automatically resolving faults in a complex network system. Some embodiments monitor one or more of system operational parameter values and message exchanges between network components. A machine learning model detects a fault in the complex network system, and an action is selected based on a cause of the fault. After the action is applied to the complex network system, additional monitoring is performed to either determine the fault has been resolved or additional actions are to be applied to further resolve the fault.
Claims20
A method, comprising:
- receiving, from one or more devices of a network system, a time series of operational parameter values;
- providing the time series of operational parameter values to a machine learning model;
- receiving, from the machine learning model, an indication of a cause of a fault in operation of the network system;
- selecting a first action to perform on the network system based on the cause;
- performing the first action;
- and
- notifying the machine learning model of the performed first action.
A non-transitory computer readable storage medium comprising instructions that when executed configure hardware processing circuitry to perform operations comprising:
- receiving, from one or more devices of a network system, a time series of operational parameter values;
- providing the time series of operational parameter values to a machine learning model;
- receiving, from the machine learning model, an indication of a cause of a fault in operation of the network system;
- selecting a first action to perform on the network system based on the cause;
- performing the first action;
- and
- notifying the machine learning model of the performed first action.
A system, comprising:
- hardware processing circuitry;
- one or more hardware memories storing instructions that when executed configure the hardware processing circuitry to perform operations comprising:
- receiving, from one or more devices of a network system, a time series of operational parameter values;
- providing the time series of operational parameter values to a machine learning model;
- receiving, from the machine learning model, an indication of a cause of a fault in operation of the network system;
- selecting a first action to perform on the network system based on the cause;
- performing the first action;
- and
- notifying the machine learning model of the performed first action.
Dependencies are inferred from the claim text.