Automated Network Navigation for Dynamic Content Routing
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Solution Overview
Problem
Traditional video distribution systems are inefficient and costly when applied to the Internet or wide area networks due to the complexity of numerous, diverse, and remote sources and destinations, leading to suboptimal resource allocation and reliability issues.
Innovation Solution
An automated network navigation system that monitors performance data to identify and adapt optimal routes for content delivery across communication networks, rerouting when necessary to ensure reliable and high-quality delivery, utilizing a computing platform with routing software to analyze network conditions and maintain hardware node performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional video distribution systems are used for Internet content distribution, then fault tolerance and redundancy are maintained, but resource allocation becomes costly and inefficient
Solution Approach 1:
The patent implements dynamic route selection by continuously monitoring network conditions and performance data, then automatically switching between alternative routes based on real-time availability and quality metrics. This dynamic adaptation allows the system to maintain reliability while optimizing resource allocation according to actual network state rather than relying on static redundant paths.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor content delivery quality, network conditions, and resource utilization metrics. This feedback information is used to evaluate alternative routes and adjust routing decisions, enabling the system to maintain fault tolerance while improving resource allocation efficiency through data-driven optimizations.
2Reliability
If traditional video distribution processes are applied to Internet content, then redundancy is ensured, but system complexity and cost increase
Solution Approach 1:
The patent implements self-service routing where the system automatically monitors its own performance, evaluates alternative routes, and executes routing decisions without external intervention. This automated self-management reduces the operational complexity associated with maintaining redundant systems while preserving availability through autonomous fault detection and recovery.
Solution Approach 2:
The system dynamically changes routing parameters such as selected routes, transmission paths, and resource allocation based on real-time network conditions and performance metrics. This parameter adaptation allows the system to maintain redundancy and availability while managing complexity through automated, data-driven adjustments rather than static configured paths.
3Reliability
If redundant sources and distribution paths are used, then fault tolerance is achieved, but resource allocation becomes inefficient
Solution Approach 1:
The patent employs dynamic route switching that activates redundant paths only when needed based on real-time fault detection, rather than maintaining all redundant paths active simultaneously. This dynamic approach preserves fault tolerance capability while reducing resource consumption by allocating bandwidth and processing resources only to currently active and necessary routes.
Solution Approach 2:
The system dynamically adjusts resource allocation parameters such as bandwidth assignment, transmission priority, and path selection based on actual network conditions and content delivery requirements. This parameter optimization enables the system to maintain fault tolerance through selective redundancy while minimizing resource waste by allocating capacity efficiently according to real-time demands.
Data Source
AI summary
A network navigation system includes a computing platform having a hardware processor and a system memory storing a routing software code, and communicatively coupled to multiple hardware nodes of a communication network. The hardware processor executes the routing software code to monitor performance data for each hardware node, identify a network destination for a content stream, identify a source hardware node for providing source content of the content stream based on the performance data, and identify hardware transmission nodes for delivery of the content stream based on the performance data. The source and transmission nodes determine a first network route for delivery of the content stream. The routing software code also receives test data for the first network route during delivery of the content stream, and determines a second network route for delivery of the content stream if the test data fails to meet a predetermined test standard.