Network Performance Assessor for Audio Video Delivery
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Solution Overview
Problem
Networks often experience capacity constraints, leading to decreased information transfer rates and potential data loss or distortion when total utilization reaches peak capacity, affecting the quality of audio and video content delivery to presentation devices.
Innovation Solution
A system comprising a network performance assessor that monitors capacity utilization and modifies program characteristics, such as format or rate, to ensure total capacity utilization remains below peak levels, preventing data loss and distortion by adjusting video and audio information transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the network transmits high-quality audio and video content at peak capacity, then the content delivery quality is maximized, but data loss and distortion occur when capacity constraints are reached
Solution Approach 1:
The system performs preliminary encoding of audio and video content into multiple bitrate versions before transmission. This advance preparation allows the network to select appropriate quality levels based on current capacity conditions, preventing data loss by having lower-bitrate alternatives ready when bandwidth is constrained.
Solution Approach 2:
The network dynamically adjusts the transmission quality by switching between different encoded versions of the same content based on real-time capacity monitoring. When capacity is sufficient, high-quality versions are transmitted; when capacity constraints are detected, the system automatically transitions to lower-quality versions to maintain reliable delivery.
2Productivity
If the network increases capacity utilization to maximize throughput, then information transfer rate is improved, but data loss and distortion occur at peak capacity
Solution Approach 1:
The system changes the transmission parameter (bitrate/quality level) based on network capacity conditions. By having pre-encoded versions at multiple quality levels, the system can adjust the transmission parameter dynamically to match available capacity, ensuring optimal throughput without exceeding reliability thresholds.
Solution Approach 2:
The network monitors capacity utilization and uses this feedback to control transmission quality. When capacity approaches peak levels, the system receives feedback about the constraint and automatically reduces transmission quality to prevent data loss, creating a closed-loop control system that balances throughput and reliability.
3Speed
If the network maintains high capacity utilization during high demand, then content delivery speed is maximized, but viewing quality deteriorates due to data loss
Solution Approach 1:
The system prepares multiple quality versions of content in advance, allowing rapid switching between quality levels without re-encoding during transmission. This preliminary action enables the network to maintain high delivery speed by selecting from pre-prepared versions rather than adapting content in real-time during capacity constraints.
Data Source
AI summary
Various embodiments of network performance assessment apparatus, systems and processes collect performance information pertaining to a current capacity utilization of a network, identify an occurrence of a capacity constraint on a portion of the network that is communicating the program to at least one presentation device, and modify at least one characteristic of the program and/or the communication thereof over the network so that a total capacity utilization of the network is less than a peak capacity of the network.