P-distance Priority Data Processing for Latency Reduction
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Solution Overview
Problem
Existing data processing systems face high processing latency due to unpredictable data transfer and error handling in data sets, leading to inefficiencies in prioritizing and processing data sets based on quality.
Innovation Solution
Implementing a P-distance quality metric that calculates the sum of error values raised to a power, allowing for cost-effective prioritization of data sets by selecting higher quality data sets for processing first, using a data processing system with an input buffer, data detector circuit, and selection circuit that calculates P-distance values to determine processing order.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If data sets are processed in equal priority order, then processing fairness is maintained, but average processing latency increases
Solution Approach 1:
The patent changes the processing parameter from equal priority to quality-based priority using P-distance metric. The selection circuit selects data sets for processing based on their P-distance values, where data sets with lower P-distance (higher quality) are processed first. This parameter change resolves the contradiction by optimizing processing order to reduce average latency while maintaining system productivity.
2Loss of time
If quality-based priority processing is implemented, then average latency is reduced, but system complexity increases
Solution Approach 1:
The patent applies preliminary action by calculating P-distance values for all data sets in the buffer before processing begins. The selection circuit uses these pre-calculated quality metrics to determine processing order, avoiding the need for complex real-time quality assessment during processing. This preliminary quality assessment reduces latency without proportionally increasing system complexity.
3Productivity
If P-distance calculation is used for prioritization, then data transfer efficiency improves, but computational cost increases
Solution Approach 1:
The patent uses a computationally efficient P-distance metric that can be calculated quickly and discarded after use. Unlike complex quality assessment algorithms, the P-distance calculation requires minimal computational resources and can be performed rapidly for each data set. This disposable quality metric approach improves data transfer efficiency without significant computational energy overhead.
Data Source
AI summary
The present inventions are related to systems and methods for data processing, and more particularly to systems and methods for priority based data processing.