Remote heterogeneous multi-fusion storage method

A multi-convergence and heterogeneous technology, applied in the field of heterogeneous multi-convergence storage in different places, can solve the problems of inability to guarantee data read and write performance, low data usage frequency, high cost, and achieve the best performance and cost, and high availability.

Active Publication Date: 2018-04-13
NANJING YUNCHUANG LARGE DATA TECH CO LTD
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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...

Method used

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specific Embodiment approach

[0044] The specific implementation is as follows: For example, data is stored in three copies, one primary copy and one secondary copy are stored in local A, and the remaining one copy is stored in B.

[0045] There is a storage cluster in A and B respectively. First, set the configuration policy, and set the organizational forms of the two region types as region A and region B. The pseudo-random selection algorithm selects the lottery algorithm, and the pseudo-random selection algorithm depends on the hash. The algorithm chooses the jenkins1 algorithm. The devices of the final leaf nodes of A and B correspond to the specific object storage devices of the device clusters of A and B, respectively, assuming that the next layer is the host.

[0046] Then set the layout rule, set the layout rule to rule remote_disaster_ruleset, set it to the copy type here, execute the selection action, first select region A, then execute the selection action, the selection range is the output of t...

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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...

Claims

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Application Information

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IPC IPC(8): G06F3/06
CPCG06F3/0644G06F3/0685
Inventor 刘鹏张真杜何飞章亮吴修文王小聪
Owner NANJING YUNCHUANG LARGE DATA TECH CO LTD
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