Distributed data storage method and device based on data feature pooling
A technology of distributed data and data characteristics, applied in the input/output process of data processing, electrical digital data processing, instruments, etc., can solve the problem of inability to perceive service data characteristics, increase the overall storage construction cost, and inability to adapt to services performance requirements and other issues to achieve the effect of improving data operation efficiency
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[0041] Such as figure 1 As shown, it is a distributed data storage method based on data feature pooling in this embodiment, which includes the following steps:
[0042] In the feature division step, the fault domain algorithm is automatically pre-planned according to the characteristics of the business data, and the data is divided into different feature types; in this step, the data feature type parameters can be specified on the command line or when creating a pool on the client side.
[0043]The policy formulation step is to formulate distributed storage data optimization strategies for different feature types; this embodiment formulates two sets of data feature optimization for sequential features and random features in combination with the electrical characteristics of the hardware, the hardware performance of the server, and the operating system at the OSD level Strategy.
[0044] In the strategy loading step, the object storage device loads the corresponding data stora...
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