Media Data Link Monitoring for Fast Failure Recovery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing media data transmission networks suffer from untimely network failure awareness and untimely transmission link optimization, leading to prolonged recovery times and issues like link loopback, which negatively impact user audiovisual experience.
Innovation Solution
A method and apparatus for media data transmission link optimization that involves sending report messages to next hop nodes, determining message loss and round-trip time results, and optimizing links based on these results to enable timely failure detection and recovery, reducing recovery time from 1.5 minutes to 30 seconds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional media data transmission networks are used, then network coverage is provided, but network failure awareness is untimely and transmission link optimization is delayed
Solution Approach 1:
The patent applies preliminary action by having edge nodes proactively send report messages to next hop nodes to detect link status before failures affect media transmission. The detection mechanism operates in advance by monitoring link quality metrics (packet loss, RTT) continuously, enabling early warning and preventive optimization before complete failure occurs.
Solution Approach 2:
The patent implements feedback through the report message and acknowledgement message exchange between edge nodes and next hop nodes. The first edge node sends report messages, receives acknowledgements, and uses this feedback to determine link status and trigger optimization actions. This closed-loop feedback mechanism ensures timely detection and response to network conditions.
2Productivity
If link optimization is delayed, then network stability is maintained, but user audiovisual experience deteriorates
Solution Approach 1:
The patent applies dynamics by making the transmission link configuration adaptable and changeable based on real-time conditions. The system dynamically adjusts link optimization strategies according to detected network status, transitioning between different transmission paths or parameters to maintain optimal audiovisual quality while improving transmission efficiency.
Solution Approach 2:
The patent implements parameter changes by modifying transmission parameters (such as routing paths, transmission parameters, or network configuration) based on detected link quality metrics. When packet loss or RTT exceeds thresholds, the system changes transmission parameters to optimize the link and maintain user experience quality.
3Device complexity
If no detection mechanism is implemented, then device complexity is low, but link loopback issues occur and recovery is delayed
Solution Approach 1:
The patent applies self-service by having edge nodes autonomously perform link detection and optimization without requiring external control systems. Each edge node independently sends report messages, processes acknowledgements, determines link status, and executes optimization actions, eliminating the need for complex centralized management while maintaining high reliability.
Data Source
AI summary
The present disclosure relates to the technical field of media data transmission, and discloses a media data transmission link optimization method, an apparatus, a device, and a storage medium. The media data transmission link optimization method comprises: sending a report message to a second edge node that is a next hop node successfully connected with a first edge node; determining a message loss result and a round-trip time result according to an acknowledgement message replied by the second edge node based on the report message, wherein the message loss result is used for characterizing a situation that the report message is lost, and the round-trip time result is used for characterizing a transmission delay between the first edge node and the second edge node; optimizing a media data transmission link including the first edge node according to the message loss result and the round-trip time result.


