MCDN Video Asset Performance Monitoring via Remote Control Response Metrics
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Solution Overview
Problem
Multimedia content distribution networks (MCDNs) face challenges in quality control and performance monitoring, relying on user feedback and support visits due to limited real-time performance characterization of baseband video assets.
Innovation Solution
A method and system for monitoring MCDN output channels by receiving user input to select a multimedia handling device, acquiring and analyzing baseband video signals with timestamps to determine remote control response metrics, storing and comparing these metrics to assess device performance, and correlating them with processing resources and release versions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional MCDN architecture is used with user feedback and support visits for performance monitoring, then device complexity is reduced, but measurement precision and reliability of performance characterization deteriorate
Solution Approach 1:
The patent introduces an intermediary performance monitoring system that acts as a mediator between MCDN devices and users. This system includes a monitoring server that receives performance data from multiple sources (device logs, network telemetry, user feedback) and processes them to generate comprehensive performance characterizations, thereby improving measurement precision without requiring complex direct monitoring at each device
Solution Approach 2:
The patent implements a feedback mechanism where performance metrics are continuously collected from MCDN devices, analyzed by the monitoring system, and used to generate actionable insights. This closed-loop feedback enables real-time performance characterization and allows the system to adapt and improve monitoring accuracy over time without increasing device complexity
2Reliability
If real-time performance monitoring of baseband video assets is implemented, then reliability and measurement precision improve, but device complexity and use of energy increase
Solution Approach 1:
The patent segments the performance monitoring function into distinct modular components: data collection modules at device level, data transmission modules, analysis modules at the monitoring server, and reporting modules. This segmentation allows real-time monitoring capability to be distributed across the network rather than concentrated in one complex system, improving reliability while managing complexity through modular architecture
Solution Approach 2:
The monitoring system is designed with multi-functional capabilities that allow it to perform multiple tasks: collecting performance metrics, analyzing video asset quality, generating performance characterizations, and providing recommendations. This universal system replaces multiple separate functions, reducing overall system complexity while maintaining high reliability through integrated monitoring
3Measurement precision
If comprehensive performance metrics are collected and analyzed, then measurement precision and reliability improve, but loss of time and device complexity increase
Solution Approach 1:
The patent implements preliminary action by pre-defining performance metrics, thresholds, and analysis templates before actual performance monitoring begins. The system pre-configures what data to collect, how to process it, and what thresholds trigger alerts. This preparation work is done in advance, allowing the system to quickly process real-time data without extensive analysis time, thus improving measurement precision while minimizing time loss
Data Source
AI summary
A method and system for monitoring video assets provided by a multimedia content distribution network (MCDN) includes an expert test monitoring platform (ETMP) configured to emulate MCDN client systems at a facility of an MCDN service provider. The ETMP may be used to obtain remote control response metrics, along with internal performance data, for client systems in the ETMP. Historical metrics and historical data may be logged along with the release version for the client systems, which may then be used to correlate operational performance when analyzing client system characteristics.