Digital Television Trend Server for External Anomaly Detection
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Solution Overview
Problem
Existing content networks lack effective monitoring solutions for irregularities and abnormalities, especially with wide geographic reach and large content offerings, often requiring reactive user-reported issues and limited internal monitoring that fails to detect external issues.
Innovation Solution
A trend server is deployed outside the content provider network to monitor user interactions and responses, learning response trends, setting normal parameter ranges, and issuing alerts for deviations, using distributed trending servers for comprehensive monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If internal monitoring is used within the content provider network, then monitoring coverage is limited to internal systems, but external issues and user-reported problems cannot be detected proactively
Solution Approach 1:
The patent introduces an intermediary monitoring system that acts as a mediator between internal network monitoring and external user experiences. This intermediary layer captures and analyzes user interactions with the content provider network from external vantage points, enabling proactive detection of issues before they are reported by users while maintaining clear separation from internal systems.
2Reliability
If reactive user-reported issue tracking is used, then user feedback is captured, but service reliability deteriorates due to delayed response to abnormalities
Solution Approach 1:
The patent implements preliminary action by proactively monitoring and analyzing user interactions with the content provider network before problems manifest to users. The system continuously captures response data, establishes baseline trends, and detects deviations from normal operation, enabling early warning and preventive action before service disruptions occur or users report issues.
Solution Approach 2:
The patent establishes a continuous feedback loop where user interactions are captured, analyzed against established trends, and used to generate alerts when abnormalities are detected. This real-time feedback mechanism enables rapid response to service issues, dramatically reducing the time between problem occurrence and detection compared to reactive user reporting.
3Measurement precision
If comprehensive monitoring of all network responses is implemented, then detection accuracy improves, but system complexity and resource consumption increase
Solution Approach 1:
The patent applies partial action by selectively monitoring and analyzing specific response parameters and user interactions that are most indicative of service abnormalities. Rather than attempting to analyze every single network response in detail, the system focuses on key metrics and trends that provide the highest detection value, reducing computational complexity while maintaining high detection accuracy.
Solution Approach 2:
The patent utilizes parameter changes by establishing baseline trends for various response parameters and detecting deviations from these trends. The system transforms raw response data into meaningful metrics and compares them against historical patterns, enabling accurate anomaly detection through statistical parameter analysis rather than requiring complex analysis of every individual response parameter.
Data Source
AI summary
Techniques and systems for providing a trend server outside a content provider network to communicate with the content provider network to build a trend record based on responses received from the content provider network for monitoring certain activity trend or tendency in the content provider network and provide an alert when the content provider network behaves abnormally.