WAN Configuration Automation via Application Fingerprinting
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Solution Overview
Problem
Managing large and complex wide area networks (WANs) is labor-intensive and expensive due to the need for constant communication and collaboration among networking experts for maintenance, upgrades, and technology implementation.
Innovation Solution
A system and method that generates recommendations for network configurations by obtaining application fingerprint data, calculating statistical values based on application characteristics, and using a rules engine to recommend technologies for updating or implementing WANs, thereby automating the process and reducing the need for extensive expert intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual management methods are used for WANs, then expert knowledge and control can be applied, but the process becomes labor-intensive and expensive
Solution Approach 1:
The system enables self-service by automatically analyzing application fingerprint data and generating configuration recommendations without requiring constant human expert intervention. The automated analysis engine processes network data and produces actionable insights, allowing the network to manage itself with minimal human input.
Solution Approach 2:
The patent replaces the mechanical system of manual expert analysis with an automated computational system. The analysis engine uses algorithms to process application fingerprint data and generate recommendations, substituting human mechanical work with automated electronic processing.
2Reliability
If constant communication among networking experts is maintained, then proper WAN maintenance can be ensured, but time and resources are consumed
Solution Approach 1:
The system continuously monitors and analyzes network data automatically, eliminating the need for constant human communication and collaboration. The automated analysis engine processes data in real-time, ensuring WAN functionality without requiring ongoing expert interaction.
Solution Approach 2:
The system provides continuous automated analysis and monitoring of the WAN, ensuring uninterrupted useful action. Unlike manual processes that require periodic human intervention, the automated system operates continuously without loss of time.
3Productivity
If automated analysis is implemented, then labor costs are reduced, but complex data processing is required
Solution Approach 1:
The system segments the complex management task into distinct components: data collection, fingerprint analysis, statistical evaluation, and recommendation generation. This segmentation makes the complex processing manageable and modular.
Solution Approach 2:
The analysis engine acts as an intermediary between raw network data and actionable recommendations. It processes complex fingerprint data and translates it into understandable configuration advice, bridging the gap between complex processing and simple outcomes.
Data Source
AI summary
Systems and methods described herein provide automatic generation of one or more application fingerprints which may be used to identify and recommend one or more technologies and/or technical instructions for use within a WAN environment. Input data describing and an application fingerprint for one or more applications currently used within a network environment, such as a WAN environment, is received and executed against a set of rules by a rules engine. Based on the results, one or more recommendations may be provided that identifies various technologies and/or technical procedures the network manager may implement and/or perform.