Data Storage Directory Offset Segmentation
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Solution Overview
Problem
Existing data mining techniques face low access efficiency when searching for data by generation time, as they require traversing all directories, leading to increased traversal time and reduced performance.
Innovation Solution
A method and apparatus that compute an offset between generation and collection times, using a default offset threshold to determine whether data is stored in a centralized or non-centralized directory, allowing for efficient storage and retrieval by directing data to specific sub-directories based on the offset.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data is stored in a centralized directory structure organized by generation time, then data can be systematically organized and stored, but access efficiency deteriorates due to the need to traverse all directories
Solution Approach 1:
The patent segments the centralized directory into multiple distributed sub-directories based on the offset between generation time and collection time. Instead of storing all data in a single directory structure, the system divides data storage across multiple locations, each responsible for specific offset ranges. This segmentation reduces the traversal scope during data access while maintaining systematic organization through the offset-based distribution strategy.
2Device complexity
If all collected data is stored in a single centralized location, then data management is simplified, but the number of directories to traverse increases and access efficiency decreases
Solution Approach 1:
The patent introduces a new dimension for data organization by adding the offset-based distribution layer over the traditional generation time directory structure. Instead of solely organizing data by generation time in a single centralized directory, the system adds an offset dimension that distributes data across multiple sub-directories. This dimensional expansion enables parallel access paths and reduces traversal time without complicating the underlying management logic.
Data Source
AI summary
Disclosed is a storing method for data acquisition, including: acquiring a collected data, and acquiring a generation time and a collection time for the collected data; obtaining an offset by computing a difference between the generation time and the collection time; and acquiring a default offset threshold, and determining whether the offset being less than the default offset threshold; if so, acquiring a centralized storage directory corresponding to the collected data, acquiring a generation time sub-directory corresponding to the generation time under the centralized storage directory, acquiring an offset sub-directory corresponding to the offset under the generation time sub-directory and storing the collected data in the offset sub-directory. The invention also provides a storing apparatus for data acquisition. The storing method and apparatus for data acquisition improve the data access efficiency.