Flow-Level Video Stream Switchover Mechanism
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Solution Overview
Problem
Traditional Multicast-only Fast Re-Routing (MoFRR) is limited to link-level switchovers, which can result in healthy video flows being shut down, whereas flow-level switchover technology is needed to ensure the delivery of the highest-quality video streams by switching between active and inactive video flows based on quality metrics.
Innovation Solution
A method and system for measuring the quality of paired video flows on separate links, determining which flow has better quality, and performing a flow-level switchover by activating the higher-quality inactive flow and deactivating the lower-quality active flow, allowing other video flows on the same link to remain unaffected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If link-level switchover is performed using traditional MoFRR, then reliability is improved through redundancy, but manufacturing precision deteriorates because the entire link is shut down forcing all video flows to switch even when some are healthy
Solution Approach 1:
The patent segments the switchover operation from link-level to flow-level granularity. Instead of switching all video flows on a link simultaneously, the system evaluates each video flow independently and performs switchover only for flows that require it based on quality metrics. This segmentation allows healthy flows to continue on their current link while only problematic flows are redirected, resolving the contradiction between reliability and precision.
2Reliability
If link-level switchover is performed, then reliability is improved through redundancy, but loss of information worsens because healthy video flows are forced to switch links unnecessarily
Solution Approach 1:
The patent applies local quality assessment to each video flow independently rather than treating the entire link uniformly. The system measures quality metrics (packet loss, jitter, delay) for each individual video flow and makes switchover decisions based on flow-specific quality conditions. This local quality approach ensures that only flows experiencing quality degradation are switched, preventing unnecessary disruption to healthy flows while maintaining reliability through selective redundancy activation.
Data Source
AI summary
A disclosed method may include (1) measuring a quality level of a first instance of a video flow received via a first link within a network, (2) measuring a quality level of a second instance of the video flow received via a second link within the network, (3) determining that the quality level of the second instance of the video flow is better than the quality level of the first instance of the video flow, and then in response to determining that the quality level of the second instance of the video flow is better, (4) performing a flow-level switchover from the first instance of the video flow to the second instance of the video flow by (A) activating the second instance of the video flow and (B) deactivating the first instance of the video flow. Various other apparatuses, systems, and methods are also disclosed.