Data management system based on cloud computing

A data management system and data management technology, applied in the field of data management system based on cloud computing, can solve the problem that the database system cannot directly access heterogeneous data and complex data and effectively analyze, query, manage and store, etc. effect of possibility

Active Publication Date: 2017-11-03
STATE GRID ANHUI ELECTRIC POWER +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a data management system based on cloud computing, which is used to solve the problem that the database system in the prior art cannot directly access and effectively analyze, query, manage and store heterogeneous data and complex data

Method used

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  • Data management system based on cloud computing
  • Data management system based on cloud computing
  • Data management system based on cloud computing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] combined with figure 1 and figure 2 As shown, a data management system based on cloud computing includes:

[0045] Data maintenance module: used for CWM-based metadata modeling, metadata entity maintenance, and metadata relationship maintenance;

[0046] Data management module: used for metadata analysis and visual display;

[0047] Data repository: for metadata, metamodel storage and versioning;

[0048] Data integration platform: used for metadata extraction and integration, integrating metadata into distributed database systems;

[0049] The data management module includes:

[0050] Metadata source layer: using the data source system of the business analysis system, which is the source of the metadata;

[0051] Metadata acquisition layer: use data source extraction tools to extract effective metadata in the distributed file system and store the metadata in the distributed database system, and provide a unified view for the metadata in the distributed database s...

Embodiment 2

[0057] On the basis of Example 1, in conjunction with the attached figure 1 and figure 2 As shown, the specific workflow of the data management module is:

[0058] The metadata acquisition layer configures a metadata storage path for each module in the business analysis system, and the metadata of each module is uniformly stored in the metadata storage path; the metadata management layer configures a metadata storage path for each module of the business analysis system. Each module configures a connection bridge module, the connection bridge module realizes the conversion between metadata and new metadata, and the connection bridge module includes metadata reading and conversion and metadata modeling, and the metadata modeling is used for Establish a metadata metamodel suitable for the business analysis module. When the metadata is stored in the database, the connection bridge module of the metadata management layer passes through the access interface of the metadata access ...

Embodiment 3

[0069] On the basis of Example 1, in conjunction with the attached Figure 1-3 As shown, it also includes a resource scheduling engine data management module for unified management and utilization of metadata stored in different servers and storage devices. The resource scheduling engine data management module uses a resource scheduling algorithm. The steps are as follows:

[0070] S1) Obtain the performance monitoring data of all physical machines and virtual machines in the virtual machine cluster, and evaluate the resource load status of the physical machines and virtual machines;

[0071] S2) Select the virtual machine to be scheduled to calculate the appropriate target node, and perform the migration of the virtual machine;

[0072] S3) List the virtual machines whose load is higher than the upper limit threshold in the virtual machine set, use the best adaptation algorithm to find the physical machine with the highest physical resource load after scheduling but does not ...

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Abstract

The invention discloses a data management system based on cloud computing. The system includes: a data maintenance module, which is used for CWM-based metadata modeling, metadata entity maintenance and metadata relationship maintenance; a data management module, which is used for metadata analysis and visualization presentation; a data storage library, which is used for metadata and meta-model storage and version recording; and a data integration platform, which is used for metadata extraction and integration, and integration of metadata into distributed database systems. The system also includes a resource scheduling engine data management module which uniformly manages and utilizes the metadata stored on different servers and storage devices. Through server and storage virtualization, resource integration modeling, a resource scheduling engine and other technologies, the system realizes integration of the metadata on heterogeneous resources, uniform management and utilization of the heterogeneous resources and resource sharing of service databases stored on the different storage devices.

Description

technical field [0001] The invention relates to the technical field of databases, in particular to a data management system based on cloud computing. Background technique [0002] Cloud computing (cloud computing) is the increase, use and delivery model of related services based on the Internet. Server resources are centralized, managed uniformly and work together, usually involving dynamically scalable and virtualized resources provided by the Internet. Traditional data management model: In the past, the core of database management was the data set, and the data description and description were all carried out for a certain data set. Users can only get the corresponding data when they access the data set, which will lead to different degrees of data redundancy. In addition, there is a low correlation between data sets and data, but low-level or no connection between data will lead to greater resistance to data sharing. For advanced management systems, the corresponding dat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/182G06F16/211G06F16/254G06F16/283
Inventor 王萍胡聪吴斌蔡梦臣马永徐敏方圆张禾良吴尚倪平波张捷喻梅胡州明欧渊张强吴磊马常惠胡超阳
Owner STATE GRID ANHUI ELECTRIC POWER
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