Method for implementing distributed file systems on basis of hierarchical storage

Abstract

The invention relates to a method for implementing distributed file systems on the basis of hierarchical storage. The method includes steps of 1), establishing the distributed file systems without metadata service for data in systems by the aid of global unified name spaces; 2), dividing the integral distributed file systems into different logical partitions according to business requirements; 3), selectively utilizing different storage media and storage modes for the different logical partitions; 4), automatically migrating data of the logical partitions and repositioning the migrated data. Compared with the prior art, the method has the advantages of complete data access parallelization, good performance, low hardware cost and the like.

Description

technical field [0001] The invention relates to the technical field of computer storage, in particular to a method for realizing a distributed file system based on hierarchical storage. Background technique [0002] The amount of data generated in the past few years is more than the amount of data in the past 40,000 years. There is no doubt that the era of big data is coming. Facing the explosive growth of data, the amount of storage required is increasing, and the performance of different data storage, the required retention time, and the frequency of access vary greatly. When a single form of storage cannot meet the needs of funds, Comprehensive requirements for performance, site, laws and regulations, etc. However, the traditional way of manually storing data in different storage systems is difficult to manage in the face of massive data, and it is prone to errors, which directly leads to confusion of data versions and wastes storage space. When traditional data backup ...

AI Technical Summary

Problems solved by technology

Facing the explosive growth of data, the amount of storage required is increasing, and the performance of different data storage, the required retention time, and the frequency of access are very different. When a single form of storage cannot meet the needs of funds, Comprehensive requirements for performance, site, laws and regulations, etc.

However, the traditional way of manually storing data in different storage systems is difficult to manage in the face of massive data and is prone to errors, which directly leads to confusion of data versions and waste of storage space.

When traditional data backup is used, the recovery efficiency is low, time-consuming and labor-intensive

In short, it is difficult to ensure that the appropriate data is always stored in the appropriate location using traditional methods

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