Streaming Media Metrics Collection via Environment Matching
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Solution Overview
Problem
Existing metrics collection methods for streaming media waste resources by continuously collecting large amounts of unnecessary data, leading to inefficient resource utilization and increased resource consumption.
Innovation Solution
A metrics collection method and apparatus that utilizes metrics collection configuration information, including environment and network slice information, to selectively collect and report metrics data, ensuring data is collected only under specific conditions and through optimized network paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If metrics data is continuously collected for user equipment, then comprehensive metrics information can be obtained, but resource utilization deteriorates due to collecting large amounts of unnecessary data
Solution Approach 1:
The patent changes the parameters of metrics collection by introducing environment information matching and network slice selection. Instead of continuous collection, the system collects metrics data only when specific environment conditions are met, thereby reducing resource consumption while maintaining necessary information completeness.
Solution Approach 2:
The patent applies partial action by collecting metrics data selectively rather than continuously. By using environment information to determine when collection should occur, the system performs only the necessary portion of metrics collection, avoiding excessive data gathering and optimizing resource utilization.
2Quantity of substance
If metrics data is collected continuously, then all possible metrics can be acquired, but data processing overhead increases leading to resource waste
Solution Approach 1:
The patent changes the quantity parameter of metrics data by implementing conditional collection based on environment information matching. This reduces the volume of collected data to only what is necessary, improving resource efficiency while maintaining data quality for optimization purposes.
Solution Approach 2:
The patent extracts only the necessary metrics data by filtering through environment information conditions. Instead of collecting all possible data, the system extracts specifically relevant metrics based on current environmental context, reducing processing overhead and improving resource efficiency.
3Ease of operation
If metrics collection is performed without environmental conditions, then collection simplicity is maintained, but unnecessary data is collected reducing resource utilization
Solution Approach 1:
The patent changes the operational parameters by introducing environment information as a conditional parameter. This adds a matching step that filters when collection occurs, reducing unnecessary data collection and resource consumption while maintaining operational feasibility through automated condition checking.
Data Source
AI summary
A metrics collection method includes: transmitting a media data obtaining request to an application service device in response to a trigger operation for streaming media; obtaining a media data response message transmitted by the application service device, the media data response message including metrics collection configuration information, and the metrics collection configuration information including metrics collection environment information and network slice information; obtaining environment information of the streaming media, and when the environment information matches the metrics collection environment information, collecting metrics data corresponding to the streaming media; determining, based on the network slice information, a network path for reporting the metrics data; and reporting the metrics data to the application service device through the network path.