High-reliability, high-availability and high-performance fusion type software defined storage system and method
A software-defined, storage system technology, applied in software design and other directions, can solve the problems that storage systems cannot meet the compatibility, unified management, scalability, security, and differentiated services of information systems, and achieve fast access and unified management. , convenient integration, high fusion effect
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Embodiment 1
[0034] The present invention provides a high-reliability, high-availability, and high-performance integrated software-defined storage system, such as Figure 1-Figure 5 As shown, it includes access interface layer, software-defined storage layer, storage adaptation layer, and storage resource pool. The access interface layer is used to create data processing operation method interfaces, and the software-defined storage layer virtualizes the underlying storage resources through software. and unified management, the storage adaptation layer is used to classify data, and the storage resource pool is used to uniformly store and manage data resources.
[0035] In this embodiment, the access interface layer includes a management interface module and a data interface module, the management interface module is used to provide management interface services, the data interface module is used to provide external data interfaces, and the management interface is mainly provided with self-se...
Embodiment 2
[0041] see Image 6 and Figure 7 As shown, the software-defined storage layer includes a virtual pooling module, a policy configuration module, and an enhanced storage module. The virtual pooling module uses virtualization technology to pool data, and the policy configuration module is based on the performance, scalability, and reliability indicators of storage devices. Make configurations and improve storage modules Improve the functions of traditional storage devices in a software-defined way.
[0042] In this embodiment, the upgrade storage module includes a data tape module, a data deduplication module, a data mirroring module, and a compression encryption module, the data tape module is used to tape process data, and the data deduplication module is used to remove duplicate data. The data mirroring module is used for image processing of data, and the compression encryption module is used for compression and encryption processing of data.
[0043] Furthermore, the data ...
Embodiment 3
[0059] see Figure 8 As shown, the storage adaptation layer includes a data analysis module, a data classification module and a data import module, the data analysis module is used to analyze the type of data, the data classification module is used to classify data according to the data type, and the data import module Import the classified data into the storage resource pool.
[0060] In this embodiment, the data analysis module is designed based on the mathematical model algorithm of the artificial neuron, and its formula is as follows:
[0061]
[0062] Among them, w i is the neuron pair information x i , called the association weight, f(z) is called the output function or activation function, where sgn(.) is the symbol function.
[0063] Furthermore, the data classification module is implemented based on the decision tree method. Decision tree learning is a typical instance-based inductive learning algorithm, which focuses on inferring the decision tree representatio...
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