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Computer big data storage system

A big data storage and data storage module technology, applied in the distributed field, can solve the problems of data storage's large dependence on hardware, loss and damage of data information, and inability to retrieve data, etc., to achieve convenient processing, convenient data acquisition, The effect of avoiding data loss

Pending Publication Date: 2022-08-02
侯柏苓
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a computer big data storage system, which solves the problem that large-scale data calculation takes a lot of time, the calculation efficiency is poor, and it is easy to cause the equipment with weak computing power to crash, and it is easy to cause the loss and damage of data information. Use data storage to work, and now a lot of data storage is highly dependent on hardware. Once the hardware is lost, the data cannot be retrieved, and there are certain hidden dangers.

Method used

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Experimental program
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Effect test

Embodiment 1

[0032] A computer big data storage system, comprising the following steps:

[0033] S1: Obtain data through the data acquisition module, which is more convenient for data acquisition;

[0034] S2: Then the data is analyzed through the data processing module. Large-scale data is calculated and processed by a distributed computing mechanism, and the larger data is dispersed into multiple small data for calculation and processing. Distributed computing has high speed, high efficiency, and improved the storage efficiency of files;

[0035] S3: The data completed by the distributed computing is stored in each virtual server module of the cloud storage through the data storage module, the cloud storage is more secure, and the operation of the data is flexible;

[0036] S4: Finally, when the data needs to be used, the data in each virtual server is extracted, integrated and assembled to form the completed data through the data extraction and assembly module, which is convenient for ...

Embodiment 2

[0049] A computer big data storage system, comprising the following steps:

[0050] S1: Obtain data through the data acquisition module, which is more convenient for data acquisition;

[0051]S2: Then the data is analyzed through the data processing module. Large-scale data is calculated and processed by a distributed computing mechanism, and the larger data is dispersed into multiple small data for calculation and processing. Distributed computing has high speed, high efficiency, and improved the storage efficiency of files;

[0052] S3: The data completed by the distributed computing is stored in each virtual server module of the cloud storage through the data storage module, the cloud storage is more secure, and the operation of the data is flexible;

[0053] S4: Finally, when the data needs to be used, the data in each virtual server is extracted, integrated and assembled to form the completed data through the data extraction and assembly module, which is convenient for p...

Embodiment 3

[0066] A computer big data storage system, comprising the following steps:

[0067] S1: Obtain data through the data acquisition module, which is more convenient for data acquisition;

[0068] S2: Then the data is analyzed through the data processing module. Large-scale data is calculated and processed by a distributed computing mechanism, and the larger data is dispersed into multiple small data for calculation and processing. Distributed computing has high speed, high efficiency, and improved the storage efficiency of files;

[0069] S3: The data completed by the distributed computing is stored in each virtual server module of the cloud storage through the data storage module. In this embodiment, the data processed by the calculation is stored in the hardware, and is stored in a hardware device such as a U disk hard disk. good portability;

[0070] S4: Finally, when the data needs to be used, the data in each virtual server is extracted, integrated and assembled to form th...

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Abstract

The embodiment of the invention discloses a computer big data storage system, which comprises a distributed computing mechanism, a cloud storage mechanism and a data storage mechanism, and is characterized in that the cloud storage mechanism comprises a server module, a cloud technology protocol module, a shared memory module and a data extraction and assembly module; and the data storage mechanism comprises a data acquisition module, a data processing module and a data storage module. According to the distributed cloud data storage method, a problem which needs to be solved by relatively high computing power can be reasonably dispersed and allocated to a plurality of computers for processing, large data information in a file can be split through the plurality of computers by transmitting data through the Internet, data storage is facilitated, the storage method is more reasonable, collapse is not easy to occur, and the storage efficiency is improved. And compared with traditional centralized calculation, the calculation speed is effectively improved, the condition of data loss is avoided through a cloud storage mode, and data storage and utilization are more convenient.

Description

technical field [0001] The invention relates to the field of distributed technology, in particular to a computer big data storage system. Background technique [0002] Using multiple storage servers to share the storage load and using the location server to locate and store information not only solves the bottleneck problem of a single storage server in the traditional centralized storage system, but also improves the reliability, availability and scalability of the system. [0003] Some applications require huge computing power to complete. If the centralized computing method is used, it will take a lot of time, the computing efficiency is poor, and it is easy to cause the equipment with weak computing power to crash, and it is easy to cause the loss and damage of data information. The storage work is in progress, and many data storages are highly dependent on hardware. Once the hardware is lost, the data cannot be retrieved, and there are certain hidden dangers. SUMMARY ...

Claims

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Application Information

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IPC IPC(8): G06F3/06G06F9/50
CPCG06F3/0619G06F3/0611G06F3/0664G06F3/067G06F9/5083Y02D10/00
Inventor 侯柏苓
Owner 侯柏苓