18043041. CAUSE INFERENCE REGARDING NETWORK TROUBLE simplified abstract (RAKUTEN MOBILE, INC.)
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CAUSE INFERENCE REGARDING NETWORK TROUBLE
Organization Name
Inventor(s)
CAUSE INFERENCE REGARDING NETWORK TROUBLE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18043041 titled 'CAUSE INFERENCE REGARDING NETWORK TROUBLE
The abstract describes a network system that uses cause inference models to determine the cause of a trouble occurring in a target network. The cause inference models are trained based on input data and ground truth data, and the system responds to the trouble based on the output of the model.
- Network system uses cause inference models to determine trouble in a network
- Models are trained based on input data and ground truth data
- System responds to trouble based on model output
- Models correspond to groups of networks and are selected based on the target network
- Process helps in responding to troubles effectively
Potential Applications: - Network troubleshooting and maintenance - Network security analysis - Predictive maintenance in network systems
Problems Solved: - Efficient troubleshooting in network systems - Quick identification of trouble causes - Improved network performance and reliability
Benefits: - Reduced downtime in network operations - Enhanced network security - Cost savings through proactive maintenance
Commercial Applications: Title: Network Troubleshooting and Maintenance System This technology can be used by IT companies, network service providers, and cybersecurity firms to enhance the efficiency and reliability of their network operations. It can also be integrated into network monitoring tools for real-time troubleshooting and maintenance.
Questions about the technology: 1. How does the system determine which cause inference model to use for a specific network? The system selects the cause inference model based on the group to which the target network belongs, ensuring accurate troubleshooting.
2. What are the key advantages of using cause inference models in network troubleshooting? Cause inference models enable quick and accurate identification of trouble causes, leading to faster resolution of network issues.
Original Abstract Submitted
To appropriately determine a trouble occurring in a network. A network system acquires an output obtained when input data including an index acquired from a target network is input to a cause inference model. The cause inference model is one of a plurality of cause inference models. The plurality of cause inference models respectively correspond to a plurality of groups into which a plurality of networks have been classified and are trained based on training data including input data including an index acquired for each corresponding group and ground truth data indicating a cause of a trouble. The input cause inference model corresponds to a group to which the target network of the plurality of networks belongs. The network system executes a process for responding to a trouble that has occurred in the target network based on the output of the trouble cause inference model for the target network.
