Data storage optimization method and system for solid state disk

Through multi-dimensional access feature extraction and flash-aware heat assessment algorithms, combined with the characteristics of SSD flash blocks, intelligent partition management and dynamic load balancing of small object metadata are achieved, solving the problems of high storage costs and inaccurate classification in cloud-native applications, and achieving efficient storage resource utilization and performance maintenance.

CN120704595AActive Publication Date: 2025-09-26ZHEJIANG RUIZHAOXIN SEMICON TECH CO LTD
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Patent Information

Application Number
CN202510738515.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-04
Publication Date
2025-09-26
Estimated Expiration
2045-06-04

AI Technical Summary

Technical Problem

Existing SSD storage optimization methods cannot effectively handle small object metadata in cloud-native applications, resulting in increased storage costs, inaccurate classification of hot and cold data, lack of dynamic adjustment capabilities, and inability to cope with changes in access patterns.

Method used

Through multi-dimensional access feature extraction and flash memory-aware heat assessment algorithms, the access patterns of small object metadata are identified, and intelligent partition management is performed in combination with the physical characteristics of SSD flash memory blocks. This achieves refined heat level division and dynamic load balancing, optimizing storage resource allocation.

Benefits of technology

It significantly reduces SSD storage costs, maintains good access performance and system stability, can quickly respond to changes in access patterns, and achieves efficient storage resource utilization.

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Abstract

The invention relates to the technical field of data processing, and discloses a data storage optimization method and system for a solid state disk. The method comprises the steps of performing pattern recognition on small object metadata through multi-dimensional access feature extraction, performing five-level popularity level division based on a flash memory perception popularity evaluation algorithm, performing multi-level storage region division on an SSD, performing intelligent resource allocation according to popularity levels and storage regions, and realizing dynamic adjustment processing through adaptive load monitoring. The technical problem of how to carry out intelligent hot-cold separation and dynamic hierarchical storage on the small object metadata to reduce the SSD storage cost in a massive small object storage environment generated by a cloud native application is solved.
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