Adaptive Data Streaming Encoding Rate Control
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Solution Overview
Problem
Existing data streaming systems face challenges in maintaining service quality for real-time data transmission over time-varying connections, particularly in adapting encoding rates to ensure reliable delivery of delay-sensitive data without buffer overflow or data loss.
Innovation Solution
A method and system for dynamically adjusting the encoding rate of data streams based on real-time measurements of connection conditions, such as transfer delay and data loss, using encoding coefficients calculated from regression analysis and buffer occupancy to optimize encoding rates according to changing network conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the encoding rate is increased to improve data transmission speed, then productivity is improved, but data loss increases due to buffer overflow
Solution Approach 1:
The encoding rate is made dynamic by continuously adjusting it based on real-time measurements of connection transmittance. The system transitions from a static encoding rate to a dynamic one that adapts to changing network conditions, resolving the contradiction between transmission speed and data loss by optimizing the encoding rate at each moment according to current path capacity.
Solution Approach 2:
The system implements feedback by measuring connection transmittance characteristics (such as delay, jitter, and packet loss) and using these measurements to adjust the encoding rate. This closed-loop control ensures that the encoding rate responds to actual network conditions, preventing buffer overflow while maximizing data transmission efficiency.
2Reliability
If the encoding rate is decreased to reduce data loss, then reliability is improved, but productivity deteriorates due to slower data transmission
Solution Approach 1:
Rather than using a statically low encoding rate, the system dynamically adjusts the encoding rate based on real-time connection conditions. This allows the system to achieve high transmission speeds when network capacity is available while maintaining reliability when capacity is constrained, resolving the contradiction through adaptive behavior.
Solution Approach 2:
The system changes the encoding rate parameter in response to variations in connection transmittance. By monitoring network conditions and adjusting the encoding rate parameter accordingly, the system optimizes both reliability and productivity, avoiding the need to permanently reduce the encoding rate.
3Adaptability or versatility
If real-time measurements and encoding rate adjustment are implemented, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system achieves adaptability by making the encoder multi-functional: it not only encodes data but also performs measurements of connection transmittance and adjusts its own encoding rate based on these measurements. This integration of multiple functions into a single system reduces overall complexity while maintaining high adaptability.
Data Source
AI summary
A method of data streaming from an encoder to a decoder through a time-varying connection, is disclosed. The method includes associating an encoding coefficient with said time-varying connection, the encoding coefficient determining a flow rate at an output of said encoder; defining a performance metric of the time-varying connection; defining an acceptance interval of the performance metric having a lower bound and an upper bound; acquiring a set of performance measurements of the time-varying connection over a time window at a current encoding coefficient; determining a current value of the metric of the time-varying connection according to the set of measurements; determining a preferred encoding coefficient according to the current value of the metric; and modifying the current encoding coefficient based on the current value of the metric and the acceptance interval to attain the preferred encoding coefficient. A corresponding streaming server and system for data streaming are also provided.