Hierarchical storage method and system based on block levels

Abstract

The invention provides a hierarchical storage method and a hierarchical storage system based on block levels. The hierarchical storage method is applied to the field of data intelligent management and comprises the following steps that a block data feature collector obtains block data feature values; a migration managing device obtains the block data feature values, and meanwhile, the data migration is carried out according to preset strategies and management parameters obtained from a strategy configuration managing device. When the technical scheme provided by the invention is adopted, the automatic hierarchical management on extended block level data is realized, the problem of positioning inaccuracy of hot spot data in the data hierarchical storage management process can be solved, and in addition, the utilization rate of storage resources can be effectively improved.

Description

technical field [0001] The invention relates to the field of data intelligent management, in particular to a block-level hierarchical storage method and system. Background technique [0002] Hierarchical data storage technology mainly organizes storage resources composed of storage devices at the storage virtualization layer according to data access characteristics to form a multi-level storage hierarchy (for example, according to the transmission rate of the device, it is divided into high-speed, medium-speed and slow storage devices, and It can be expanded to more device levels according to storage requirements), and feature extraction and cluster processing are performed on upper-layer application requirements. Based on the principle of locality of data access, a data feature model for mapping application data and storage space is constructed, and infrequently accessed Data is automatically migrated to devices with lower storage cost levels, releasing higher-cost storage ...

AI Technical Summary

Problems solved by technology

However, the hierarchical storage based on the file level uses the file as the basic unit of data feature statistics. If the file is relatively large and only local information is frequently accessed, then there is a problem of inaccurate positioning of hot data, which leads to the inability to The data that really needs to be classified is placed on efficient and expensive storage resources, which is not conducive to improving storage management efficiency

[0004] Block-based hierarchical storage is a fine-grained data hierarchical management scheme, which can refine the granularity of data management to the extended block level defined according to application requirements, but there is a lack of hierarchical storage based on block data in the existing work In-depth study of system architecture

Images