Neural Network-Based Network Management System for Automated Configuration Resolution
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Solution Overview
Problem
Current network management systems require user intervention to resolve configuration and provisioning problems, leading to inefficiencies and a lack of automated recognition and solution execution.
Innovation Solution
A neural network-based system is implemented within the network management system to observe user resolutions of configuration and provisioning events, allowing it to automatically recognize and solve recurring problems by learning from user actions and workflows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If user intervention is used to resolve configuration and provisioning problems, then problem resolution can be achieved, but system efficiency deteriorates due to manual operations
Solution Approach 1:
The network management system automatically resolves configuration and provisioning problems by observing and learning from user actions. The system uses neural networks to autonomously identify problems, select appropriate resolutions, and execute solutions without requiring manual user intervention, thereby improving productivity while maintaining automation capability
Solution Approach 2:
The system observes user resolutions of configuration and provisioning events to learn and improve future automated problem-solving. This feedback mechanism allows the neural network to continuously refine its ability to automatically recognize and resolve problems, addressing both efficiency and automation extent
2Loss of time
If manual user resolution is used for network problems, then flexibility in problem-solving is maintained, but time consumption increases
Solution Approach 1:
The neural network pre-learns problem-resolution patterns by observing user actions during training. When a problem occurs, the system can immediately apply pre-learned solutions without requiring users to manually analyze and resolve the issue, significantly reducing time loss while maintaining operational effectiveness
Data Source
AI summary
Preferred embodiments of the invention provide systems and methods to observe one or more network elements associated with a network, receive an indication of an event relating to one or more network element configurations associated with the network, observe a potential outcome associated with the network, store the potential outcome such that the potential outcome is associated with the event, determine a probable outcome based on the potential outcome and store the probable outcome such that the probable outcome is associated with the event.