Unified Network Policy Generation via Data Merging
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Solution Overview
Problem
Current network systems lack centralized analysis and policy generation based on historical data and network structure, leading to suboptimal performance during various events that can degrade network performance.
Innovation Solution
A computing device receives operational data from network devices and processes it to generate Wi-Fi management policies, which are then merged with user preferences and mobile device policies to create a unified policy sent back to the network devices for improved management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized policy generation based on historical data and network structure is implemented, then network system performance is improved, but device complexity increases
Solution Approach 1:
A centralized computing device acts as an intermediary between network devices and policy management. This intermediary collects operational data from multiple network devices, processes it using historical information and network structure knowledge, and generates optimized policies. This resolves the contradiction by centralizing the complex analysis function in a dedicated mediator rather than distributing complexity across all network devices.
Solution Approach 2:
The system performs preliminary analysis of operational data using historical information and network structure knowledge before policies are needed. By pre-processing data and generating policies in advance based on predicted conditions, the system improves performance without adding real-time complexity to network devices during critical operations.
2Productivity
If operational data is collected and processed to generate management policies, then network throughput is improved, but loss of time increases due to data collection and processing
Solution Approach 1:
The computing device collects and processes operational data in advance to generate management policies before they are needed. By performing data analysis and policy generation proactively rather than reactively, the system prepares optimized policies that can be immediately deployed when conditions change, improving throughput without causing time delays during critical network operations.
Solution Approach 2:
The system uses historical operational data and network structure knowledge to automatically generate policies without requiring manual intervention or real-time human analysis. This automated self-service approach reduces the time loss associated with manual policy creation while maintaining high throughput through data-driven optimization.
Data Source
AI summary
Described is a method performed by a computing device for generating policies for improving network system performance, the method comprising: receiving operational data from a network device; processing the operational data from the network device to generate a Wi-Fi management policy; merging the Wi-Fi management policy, a mobile device policy, and a user preference or user policy to generate a unified policy; and sending the unified policy to the network device for network management.