Edge Query Processing With Approximate Responses for Value Chains
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Solution Overview
Problem
Current approaches to managing value chain networks are limited by centralized data collection due to bandwidth, storage, processing, and other limitations, leading to overwhelmed systems and missed opportunities for insight and timely decision-making.
Innovation Solution
A method for processing queries in a distributed database, where an edge device receives queries, stores them on a dynamic ledger, detects summary data, generates an approximate response based on this data, and transmits it back, optimizing data processing and reducing network overload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If centralized data collection is used to manage value chain networks, then data completeness is improved, but system overload and processing bottlenecks worsen due to bandwidth and storage limitations
Solution Approach 1:
The patent segments the centralized data collection system into multiple edge computing nodes distributed across the value chain network. Each edge node processes and filters data locally before transmitting aggregated results to the central system, thereby maintaining data completeness while distributing processing load and avoiding system overload.
2Measurement precision
If all raw data is transmitted to centralized systems for analysis, then analysis accuracy is improved, but network bandwidth consumption and transmission time worsen
Solution Approach 1:
The patent extracts and processes critical data elements at edge computing nodes before transmission to the centralized system. By filtering and pre-processing data at the edge, the system transmits only essential aggregated information, maintaining analysis accuracy while significantly reducing network bandwidth consumption and transmission time.
3Loss of information
If comprehensive data is collected from all value chain entities, then decision-making information quality is improved, but storage requirements and processing complexity worsen
Solution Approach 1:
The patent implements local quality processing at edge computing nodes where data is filtered, aggregated, and pre-processed according to specific local context and requirements. This approach maintains high information quality for decision-making while reducing overall processing complexity by handling different data types and processing needs at appropriate local levels rather than centralized processing of all data uniformly.
Data Source
AI summary
A method for processing a query for data stored in a distributed database includes receiving, at an edge device, the query for data stored in the distributed database from a query device. The query is a request for data stored at the edge device and for data stored at other edge devices. The method includes executing, by the edge device, the query to find partial query results comprising the data stored at the edge device. The method includes generating, by the edge device, statistical information based on the partial query results. The method includes determining, by the edge device, a statistical confidence associated with the partial results based on the statistical information. The method includes generating, by the edge device, an approximate response to the query based on the statistical information. The method includes transmitting the approximate response to the query device.