Adaptive Bitrate Streaming Server Resource Allocation
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Solution Overview
Problem
Media devices may select video streams with high resolution and bit rate, leading to inefficient allocation of content server resources and network bandwidth, causing performance degradation for other devices in the network.
Innovation Solution
A content server dynamically adjusts the video streams' encoding parameters based on current bandwidth capacity and buffer conditions, switching between different resolutions and bit rates to optimize transmission for each media device, preventing any single device from over-consuming resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If media devices select the highest resolution and highest bit-rate video streams, then video quality for individual devices is improved, but content server resources and network bandwidth are over-consumed, causing performance degradation for other devices
Solution Approach 1:
The patent implements dynamic parameter adjustment by monitoring buffer fullness and download rates, then adjusting the bitrate and resolution of video streams in real-time. The server changes encoding parameters based on current network conditions and device buffer states, allowing video quality to adapt to available resources rather than consistently consuming maximum resources.
Solution Approach 2:
The system establishes a feedback loop where the server continuously monitors buffer fullness, download rates, and network conditions, then uses this information to adjust video stream parameters. This feedback mechanism ensures that video quality is optimized based on actual system state, preventing resource over-consumption while maintaining acceptable quality.
2Adaptability or versatility
If media devices dynamically switch between video streams based on their own network conditions, then individual device adaptability is improved, but overall network resource allocation efficiency deteriorates
Solution Approach 1:
The patent merges the decision-making process by having the content server centrally coordinate video stream selection for multiple devices. Instead of each device independently selecting streams, the server consolidates this function, considering the collective state of all devices and network conditions to make optimal allocation decisions that balance individual adaptability with overall efficiency.
Solution Approach 2:
The system implements dynamic resource allocation where the server continuously adjusts video stream parameters based on real-time monitoring of buffer states and network conditions. This dynamic approach allows the system to adapt to changing conditions while maintaining efficient overall resource utilization through centralized control.
Data Source
AI summary
Methods and systems for a content server to select sets of video streams having different encoding parameters for transmitting the sets of video streams to a media device are disclosed herein. In some embodiments, a method for transmitting video streams for a media program from a server to a media device includes: selecting, by the server, first encoding parameters including a first bitrate for a first set of video streams for the media program based on a first estimated bandwidth capacity for a network linking the server and the media device, transmitting the first set of video streams from the server to the media device, determining, by the server, second encoding parameters including a second bitrate for a second set of video streams for the media program, and transmitting the second set of video streams from the server to the media device.