Network Configuration Testing via Automated Profile Analysis
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Solution Overview
Problem
Network administrators face challenges in determining optimal network configurations for upgrades, often leading to suboptimal resource utilization and inefficient deployment of new network devices, as they lack specific knowledge about required network devices and configurations for additional functionalities.
Innovation Solution
A network analysis device that obtains information about a potential network, processes configuration parameters to determine network configuration profiles, generates a test plan, and tests network devices to provide recommendations on device inclusion, thereby optimizing resource use and reducing the time and resources needed for configuration determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network administrators manually determine network configurations without automated analysis, then they can deploy network devices, but the resource utilization becomes suboptimal and deployment efficiency decreases
Solution Approach 1:
The system enables network devices to automatically self-test and self-evaluate their configuration performance. The test plan execution and result analysis are performed autonomously by the system without requiring continuous human intervention, allowing the network infrastructure to self-optimize its configuration based on measured performance metrics.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where network device performance is continuously measured through automated testing, results are analyzed to identify configuration issues, and recommendations are generated to improve resource utilization. This feedback cycle enables ongoing optimization of network configurations based on actual performance data.
2Ease of operation
If network administrators lack specific knowledge about required network devices and configurations, then deployment can proceed without expertise, but the resulting configuration is suboptimal
Solution Approach 1:
The automated configuration analysis system acts as an intermediary between network administrators and complex configuration decisions. It bridges the knowledge gap by translating raw performance data into actionable recommendations, allowing administrators to make informed configuration decisions without requiring deep specialized knowledge of network optimization.
Solution Approach 2:
The system performs preliminary analysis and testing before final configuration deployment. By executing test plans and analyzing performance metrics in advance, the system identifies potential configuration issues and generates optimization recommendations prior to full deployment, ensuring higher configuration quality from the outset.
3Measurement precision
If detailed network configuration testing is performed manually, then configuration accuracy can be verified, but the time and resources required increase significantly
Solution Approach 1:
The system replaces manual configuration testing and analysis with automated computational processes. Software-based test plan execution and algorithmic result analysis substitute for human manual verification, maintaining high measurement precision while dramatically reducing the time and human resources required for configuration validation.
Solution Approach 2:
The system dynamically adjusts testing parameters and analysis depth based on network complexity and specific configuration requirements. By adapting the scope and intensity of testing to actual needs rather than applying fixed comprehensive testing to all cases, the system maintains verification accuracy while minimizing unnecessary testing time and resource consumption.
Data Source
AI summary
A device may obtain information concerning a potential network and may process the information concerning the potential network to determine a plurality of configuration parameters associated with the potential network. The device may determine, based on the plurality of configuration parameters, at least one network configuration profile. The device may generate, based on the at least one network configuration profile, a network configuration test plan and may cause one or more network devices to be tested according to the network configuration test plan.