Data Delivery Timing Adjustment for Content Recording
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Solution Overview
Problem
Content providers often deliver data outside the scheduled time, causing undesirable delays or early receipt of data, which can disrupt content recording and playback schedules.
Innovation Solution
Determining the timing information associated with content providers' delivery patterns and adjusting recording start times to account for habitual time shifts, allowing for accurate scheduling and minimizing the risk of content clipping or early delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is delivered at scheduled time from multiple sources, then recipients receive data on time, but certain sources habitually provide data outside scheduled time causing delays or early receipt
Solution Approach 1:
The system performs preliminary actions by determining delivery patterns of data sources in advance and using these patterns to adjust recording start times before actual data delivery occurs. This proactive timing adjustment ensures that recordings are synchronized with actual delivery times, preventing both early receipt and delays.
Solution Approach 2:
The system changes the timing parameter of recording operations based on determined delivery patterns. By dynamically adjusting recording start times according to source-specific patterns (such as habitual early or late delivery), the system adapts to variations in data delivery timing while maintaining reliable synchronization.
2Measurement precision
If recording start times are adjusted based on delivery patterns, then accurate scheduling is achieved, but system complexity increases due to pattern determination and timing adjustment mechanisms
Solution Approach 1:
The system performs self-service by automatically determining delivery patterns from observed data and autonomously adjusting recording start times without requiring manual intervention. The system serves itself by monitoring, analyzing, and adapting its own operational parameters, which simplifies the user interface while maintaining high timing precision.
Solution Approach 2:
The system implements feedback by continuously monitoring actual data delivery times, comparing them with scheduled times, and using this information to refine delivery pattern determinations. This closed-loop feedback mechanism enables accurate timing adjustments while automating the complexity management process.
Data Source
AI summary
Methods and systems for managing data and/or operations on data such as content are disclosed. A method can comprise receiving data from a source, determining timing information associated with the source and automatically modifying a storage operation of data received from the source based upon the timing information.