Abstract
The technology relates to an automated system for evaluating wide area network (WAN) routing configurations and vendor proposals. The system is configured to process spatial network data to identify potential vulnerabilities and generate a risk assessment score based on various environmental and infrastructural factors. Furthermore, the system incorporates business logic to evaluate recurring and non-recurring pricing structures while referencing preferred partner databases to streamline vendor selection. The technology utilizes machine learning models to analyze historical project data and provide optimized networking recommendations through a centralized dashboard interface.
Keywords: wide area network, WAN, routing automation, single point of failure, geographic information system, machine learning, network resiliency, cost optimization, spatial data analysis.
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Recommended Citation
N/A and , "WAN Routing Automation", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10397