Client-Driven ABR Flow Rate Shaping via HTTP Feedback
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Solution Overview
Problem
Conventional client devices are not actively involved in determining data transfer rates for adaptive bitrate (ABR) video streams, leading to 'bursty' transfer rates due to a lack of awareness about the server's transmission speed, which is less desirable than constant transfer rates.
Innovation Solution
Implementing client-driven adaptive bitrate flow rate shaping, where client devices specify a desired transfer rate in HTTP requests, and the media server determines an expected transfer rate based on network conditions and resources, allowing for dynamic adjustment of transfer rates to match available bandwidth and encoding rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the server sends video at high encoding rates, then video quality is improved, but transfer rate consistency deteriorates (becomes bursty)
Solution Approach 1:
The system implements feedback by having the client device monitor actual transfer rates and communicate this information back to the adaptation logic, which then adjusts the requested transfer rate for subsequent video segments. This closed-loop feedback mechanism allows the system to respond to actual network conditions and smooth out bursty transfer rates while maintaining high video quality where bandwidth is available.
Solution Approach 2:
The system dynamically adjusts the requested transfer rate based on monitored actual transfer rates. The adaptation logic modifies the transfer rate requests in real-time based on current network conditions, transforming a static encoding rate into a dynamic transfer rate that adapts to changing bandwidth availability, thereby smoothing bursty transfers.
2Manufacturing precision
If the client device requests high transfer rates, then video quality is improved, but network resource utilization deteriorates (causes congestion)
Solution Approach 1:
The client device monitors actual transfer rates and feeds this information back to the adaptation logic, which adjusts subsequent transfer rate requests accordingly. This feedback mechanism prevents the client from continuously requesting excessively high transfer rates that would cause network congestion, while still allowing high quality video when bandwidth is available.
Solution Approach 2:
The system changes the transfer rate parameter dynamically based on monitored network conditions. Instead of requesting a fixed high transfer rate, the system adjusts the requested transfer rate parameter up or down based on actual performance, allowing video quality to be optimized without causing network congestion.
3Adaptability or versatility
If the server uses multiple ABR streams at varying bitrates, then adaptability to different client devices is improved, but system complexity deteriorates
Solution Approach 1:
The system provides multiple ABR streams with different encoding bitrates to accommodate various client device capabilities and network conditions. This multi-functionality allows a single video content to be delivered to diverse clients (mobile devices, tablets, desktops, smart TVs) with different screen resolutions, processing powers, and bandwidth availability, maintaining adaptability while managing complexity through standardized stream formats.
Data Source
AI summary
Systems, methods, and computer program products to perform an operation comprising receiving, by a media server from a client device, a first hypertext transfer protocol (HTTP) request specifying a first transfer rate for a first segment of a plurality of segments of an adaptive bitrate (ABR) video, determining, by the media server, a first expected transfer rate for transferring the first segment of the ABR video, transmitting, by the media server to the client device, a first HTTP response specifying the first expected transfer rate, and transmitting, by the media server to the client device, the first segment of the ABR video via a network.


