Network Path Optimization via History Log Feedback
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Solution Overview
Problem
Traditional network optimization in application delivery networks relies on real-time data for selecting optimal paths, which can lead to unstable connections due to occasional detected data and lack of history reference, resulting in low reliability and efficiency.
Innovation Solution
A network path optimization method and system that dynamically adjusts optimal paths by adding a path tag based on parameter variations between real and optimal paths, establishing a history log to update the optimal path, reducing link switching frequency and enhancing network stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If real-time data is used for selecting optimal paths, then network transmission speed is improved, but connection stability deteriorates due to lack of history reference
Solution Approach 1:
The patent implements preliminary action by establishing a history log before path selection occurs. The system records and analyzes historical path data in advance, building a reference database that informs future path selection decisions. This preliminary data accumulation enables the system to make more reliable path selection choices that consider both real-time conditions and historical patterns, thereby improving connection stability while maintaining transmission speed.
2Loss of time
If path selection is based on real-time data only, then response time is reduced, but path switching frequency increases leading to instability
Solution Approach 1:
The patent implements feedback by continuously monitoring actual path performance and using this information to adjust future path selection decisions. The history log serves as a feedback mechanism that records outcomes of previous path choices and feeds this information back into the path selection algorithm. This feedback loop enables the system to learn from past experiences and reduce unnecessary path switching, thereby stabilizing connection composition while maintaining quick response times through intelligent path selection.
Data Source
AI summary
A network path optimization method includes: in response to a network access request, computing and sending an optimal path having a path code and carrying a path parameter; adding a path tag to the optimal path based on a real path; determining a parameter variation between the optimal path and the real path based on the path parameter and the path tag; and updating the optimal path and the path parameter based on the parameter variation.