Data removal method and device based on data value, equipment and storage medium
By calculating the value score of the target data and sorting it, the problem that data migration algorithms in the prior art are difficult to effectively manage the cache space, and more efficient and reliable data storage is achieved.
CN119718194APending Publication Date: 2025-03-28ASPIRE TECH (SHENZHEN) LTD
0 Cites 0 Cited by
Patent Information
- Application Number
- CN202411776644.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-04
- Publication Date
- 2025-03-28
AI Technical Summary
Technical Problem
When managing cache space, existing data migration algorithms (such as FIFO, LFU, LRU and ARC) are difficult to effectively consider the actual value and frequency of use of data, resulting in the premature elimination of unnecessary data or the long-term use of cache space.
Method used
By determining the importance level of each target data, the data writing time, the most recent access time, and the number of visits in the target time period, the target value score of each data is calculated and the data removal process is performed according to the score.
Benefits of technology
This method can more accurately reflect the value of data, improve the efficiency, reliability and accuracy of data storage, and ensure the rational use of cache space.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses a data removal method and device based on data value, equipment and a storage medium, and relates to the technical field of computers, and the method comprises the steps: determining the importance level of each target datum, the data writing time, the access time closest to the current time and the access frequency in a target time period, the target time period is a time period formed based on the data writing time and the current time; determining a target value score of each piece of target data based on the importance level, the data writing time, the access times and the access time closest to the current time of each piece of target data; and according to the target value score of each piece of target data, performing data removal processing on each piece of target data. According to the method, the multi-azimuth features of the data are comprehensively considered, the target value score of the data is calculated, the data value score can very accurately reflect the value of the data, a scientific and accurate basis is provided for the data migration process, and data storage is more efficient, reliable and accurate.
Need to check novelty before this filing date? Find Prior Art