Routing Graph Analysis for Real-Time Internet Path Insights
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Solution Overview
Problem
The complexity and decentralization of the Internet make it challenging to assess traffic patterns and routing decisions in real-time, with network operators lacking visibility into routing decisions and traditional path probing mechanisms failing to capture insights due to lack of centralized governance and visibility.
Innovation Solution
A device generates a routing graph using path trace data, computes importance metrics for nodes based on traffic loads, and provides insights to a user interface, utilizing machine learning techniques to analyze telemetry data and generate recommendations for optimal routing paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional path probing mechanisms are used to monitor Internet routing, then routing path visibility is obtained, but the ability to capture real-time insights is lost due to lack of centralized governance
Solution Approach 1:
The patent combines multiple path trace data streams from distributed agents into a unified routing graph, merging previously siloed monitoring efforts into a centralized view that enables real-time insight extraction while maintaining comprehensive routing visibility
Solution Approach 2:
The routing graph serves as an intermediary data structure that bridges raw path trace data and actionable insights, enabling real-time analysis by mediating between distributed measurement points and centralized analysis capabilities
2Adaptability or versatility
If the Internet's decentralized and dynamic nature is maintained, then network autonomy and flexibility are preserved, but traffic pattern assessment becomes increasingly difficult
Solution Approach 1:
The system implements continuous feedback loops where path trace data from distributed agents feeds into the routing graph, which is continuously updated and re-analyzed to provide real-time feedback on traffic patterns while preserving network autonomy
Solution Approach 2:
The routing graph is designed as a dynamic structure that adapts to changing network conditions in real-time, automatically updating node importance metrics and routing patterns as the Internet's decentralized topology evolves
3Reliability
If multiple valid paths between Internet points are allowed, then routing flexibility and redundancy are improved, but path selection complexity increases
Solution Approach 1:
The system changes the parameter of path evaluation from simple hop-count to multi-dimensional importance metrics, transforming the complexity from managing multiple paths to analyzing metric variations across paths, thereby maintaining redundancy while simplifying selection criteria
Data Source
AI summary
In one implementation, a device generates a routing graph using path trace data, wherein nodes of the routing graph represent different entities in one or more computer networks. The device computes importance metrics for the nodes in the routing graph based on their traffic loads. The device generates an insight regarding the one or more computer networks based on the importance metrics for the nodes. The device provides the insight to a user interface for presentation to a user.


