A/V Decoder Low-Latency Switching for Cloud Application Lip-Sync
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Latency issues in communications between home networks and ISPs lead to disruptions in internet connectivity and user experience, particularly for low latency applications like video conferencing, cloud gaming, and augmented reality, due to increased communication latencies caused by larger buffers and inefficient resource allocation.
Innovation Solution
Systems and methods that monitor and measure audio/video latency and lip-sync status to determine if devices should enter low latency mode, adjusting clock speeds and buffer states to optimize latency while minimizing resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If devices are configured in low latency mode to support latency-sensitive applications, then communication latency is reduced, but resource consumption increases
Solution Approach 1:
The system dynamically adjusts the low latency mode configuration based on real-time measurements of audio/video latency and lip-sync status. The device transitions between low latency mode and normal mode depending on whether the measured latency exceeds the threshold, thereby optimizing resource consumption while maintaining low latency performance only when necessary.
Solution Approach 2:
The system implements a feedback mechanism where audio/video latency and lip-sync status are continuously measured and used to determine whether to enable low latency mode. This closed-loop control ensures that resources are allocated efficiently based on actual latency conditions rather than continuously consuming high resources regardless of network state.
2Productivity
If larger buffers are used at each node to support burst data communications, then data transmission capacity is improved, but communication latency increases
Solution Approach 1:
The system changes the buffer parameter dynamically based on traffic conditions. When low latency mode is enabled, the system adjusts buffer sizes at network nodes to reduce latency, while maintaining larger buffers when burst data communications are detected. This parameter adaptation resolves the contradiction between transmission capacity and latency by optimizing buffer sizes for current network conditions.
3Loss of time
If low latency mode is enabled continuously to ensure optimal performance, then latency-sensitive applications benefit from reduced latency, but resource waste increases when latency is already acceptable
Solution Approach 1:
The system dynamically enables or disables low latency mode based on real-time latency measurements. When measured latency is within the acceptable threshold, the system disables low latency mode to avoid resource waste. When latency exceeds the threshold, the system enables low latency mode to optimize performance. This dynamic adaptation eliminates continuous resource consumption while ensuring optimal performance only when needed.
Solution Approach 2:
The system performs self-assessment through continuous measurement of audio/video latency and lip-sync status to determine when low latency mode is necessary. This self-service mechanism allows the system to autonomously manage its own resource allocation based on actual performance conditions, avoiding both under-performance and resource waste.
Data Source
AI summary
Described embodiments provide systems and methods for latency optimization for cloud applications. An agent of a client device comprising an audio decoder and a video decoder can monitor video and audio data paths of an application communicating audio/video (A/V) data from one or more servers to the client device. The agent can measure, using the audio decoder and the video decoder, an A/V latency and a lip-sync status of the video and audio data paths of the application. The agent can determine, based on at least one or more measurements of the A/V latency and the lip-sync status, to enable a low latency mode for at least one of the video decoder or the audio decoder. The agent can configure, responsive to the determination, the low latency mode on one of the video decoder or the audio decoder.