Edge Server Data Search via Industry Group Correlation
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Solution Overview
Problem
In edge computing systems, as the number of edge computers increases, users face significant time and labor challenges in acquiring desired IoT data, leading to potential data acquisition failures and reduced analysis precision.
Innovation Solution
A data search apparatus that correlates and stores identification information of data accumulation apparatuses or edge servers, allowing for efficient data collection and transmission by designating groups or organizations, thereby reducing the need for individual access to multiple devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the number of edge computers is increased to expand the system, then data coverage and system capacity are improved, but the time and labor required for data acquisition increase significantly
Solution Approach 1:
A data search apparatus is introduced as an intermediary between the user terminal and multiple edge computers. This apparatus maintains a storage medium that correlates identification information of edge computers with group information, enabling the user to access data from entire groups of edge computers through a single request rather than individually accessing each edge computer, thus significantly reducing data acquisition time while maintaining comprehensive data coverage
2Quantity of substance
If individual access to multiple edge computers is required, then data from all edge computers can be acquired, but the complexity of data acquisition operations increases
Solution Approach 1:
The system segments edge computers into multiple groups, each identified by group identification information. The data search apparatus stores correlations between edge computer identification information and group identification information in a storage medium. Users can access data from specific groups or all groups through simplified operations, while the apparatus handles the complexity of routing requests to individual edge computers, thus maintaining data completeness without increasing operational complexity
Solution Approach 2:
The data search apparatus serves as an intermediary that abstracts the complexity of accessing multiple edge computers from the user. It maintains the storage medium with correlated identification information and group information, allowing users to perform simple data acquisition operations while the apparatus manages the complex tasks of identifying and accessing the appropriate edge computers, thereby maintaining both data completeness and operational simplicity
3Measurement precision
If manual operation is required for data acquisition, then precise control over data selection is possible, but time consumption and labor increase
Solution Approach 1:
The data search apparatus performs self-service by automatically utilizing the storage medium to correlate and store identification information of edge computers with group information. When a data acquisition request is received, the apparatus automatically searches the storage medium for the appropriate edge computers and collects data without requiring manual intervention, thus maintaining precise data selection through automated correlation of identification information while significantly reducing acquisition time and labor
Data Source
AI summary
A system using edge computing is enabled to efficiently acquire data of an acquisition target without fail. A data search server KSV includes an industry information table 221 which stores an edge ID of an edge server operated and managed by a company/body, the edge ID being correlated with an industry ID which identifies an industry, and an ID of the company/body belonging to the industry. When a data acquisition request designating the industry ID is received from a user terminal, edge servers correlated with the designated industry ID are searched from the industry information table 221, and sensing data is acquired from the searched edge servers and transmitted to the user terminal of the source of the request.