Remote heterogeneous multi-fusion storage method

Abstract

The invention discloses a remote heterogeneous multi-fusion storage method. According to the method, a process of cluster monitoring nodes is stored, a data structure of a storage architecture is maintained, a client acquires specific storage nodes for communication and read-write operation by calculating addressing after acquiring the data structure, and addressing rules are realized through a controllable, extensible and distributed data placement algorithm. The rules are configurable, wherein when configuration is performed at a geographic position level, remote storage can be realized, andhigh availability of a storage cluster is guaranteed; when configuration is performed from the perspective of equipment type, heterogeneous storage can be realized; and according to data use scene selection, a storage device with better performance is selected for data with high use frequency to improve read-write performance, and a device with slightly poor performance is selected for data withlow use frequency to lower use cost. The method can support multiple storage use modes such as object storage, block storage and file system storage at the same time, and therefore the remote heterogeneous multi-fusion storage method is formed.

Description

technical field [0001] The invention belongs to the field of fusion storage of distributed big data, and in particular relates to a multi-integrated storage method of different places and heterogeneous. Background technique [0002] The data era is quietly approaching, and the importance of data is self-evident. In the face of natural disasters such as fires, floods, and earthquakes, it is very dangerous to store data in one place, and it is a very complicated project to realize remote backup of data. There are various types of data, some data are frequently used, and some data are used very infrequently, which may only be used as copies. These data are uniformly used with high-performance but high-priced storage media, and the cost will be correspondingly high. , if the storage medium with lower price is used uniformly, the read and write performance of the data cannot be guaranteed, and the performance and cost issues are important factors to be considered in the storage s...

AI Technical Summary

Problems solved by technology

[0002] The data age is coming quietly, the importance of data is self-evident, but in the face of natural disasters such as fire, flood, earthquake, etc., it is very dangerous to store data in one place, and it is a very complicated project to realize data backup in different places

There are various types of data, some data are used frequently, some data are used infrequently and may only be used as copies, and these data are uniformly used for storage media with high performance but high price, and the cost will be correspondingly high , if the storage medium with relatively low price is used uniformly, the read and write performance of data cannot be guaranteed, and performance and cost issues are important factors considered in the storage solution

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