Method and system for hierarchical data storage

Abstract

The invention provides a method for hierarchically storing data, which is applied to the field of intelligent data management. The method comprises the following steps that a strategy analysis module acquires an XML (Extensive Markup Language) strategy file, wherein the XML strategy file is generated by a management interface according to set strategy configuration information; the strategy analysis module detects and analyzes the strategy configuration information extracted from the XML strategy file to obtain an analysis result; a hierarchical storing management module acquires the analysis result and calls a sub-functional module to complete data processing according to the analysis result. According to the method, management methods such as data migration and the like can be integrated effectively, so that the configuration management of a plurality of file features, classified measurement and migration management functional collaboration are realized, and the usability of intelligent data management is effectively improved.

Description

technical field [0001] The invention relates to the field of intelligent data management, in particular to a method and system for hierarchically storing data. Background technique [0002] Hierarchical data storage technology mainly organizes storage resources composed of storage devices at the storage virtual 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 clustering 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 space...

AI Technical Summary

Problems solved by technology

[0004] However, the existing file-level classification schemes lack in-depth research on the multi-attribute management and measurement operations of files, and especially cannot be effectively integrated with management methods such as data migration, resulting in configuration management of various file features, Classification metrics and migration management functions lack collaboration and even reduce the ease of use of intelligent data management

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