Data sharing exchange model and method based on cloud computation

Abstract

The invention discloses a data sharing exchange model and a method based on cloud computation. The model comprises a data sharing service module, a data exchange service module, a management service module, an enterprise service bus, a front-end exchange database and a front-end interchanger, wherein the data sharing service module is used for realizing distributed heterogeneous data resource sharing; the data exchange service module is used for realizing a heterogeneous data exchange function; the management service module is used for realizing sharing exchange and system management; the enterprise service bus is used for realizing service registration and management; the front-end exchange database is used for realizing an intermediate storage logic information database which is established for information exchange; and the front-end interchanger is used for realizing the function of unified exchange output and input ports of exchange nodes. The method comprises the steps of constructing a data sharing exchange service system based on SaaS (Software as a Service) to share data which is stored in a business database in a distributed way and providing exchange request submission and approval service; using the enterprise service bus to conduct unified management on service and establishing a model of an exchange service business process by virtue of management service to realize dynamic combination of inter-business service; and using the front-end exchange database to conduct exchange, storage and forwarding, and pushing the data to target nodes through the front-end interchanger.

Description

[0001] technical field [0002] The invention relates to a cloud computing-based data sharing and exchange model and method, and belongs to the technical field of data sharing and exchange. Background technique [0003] "Data resourceization" is the primary trend in the development of big data. Data will continue to become the assets of institutions and a powerful weapon to enhance the competitiveness of institutions and companies. Long-term business practice in various fields has accumulated large-scale field data, and with the continuous advancement of informatization, the frequency of data generation is increasing to form a dynamic large data set; because most of the acquisition and processing processes use multi-point acquisition and decentralized processing , these data are scattered and stored in various data centers in various data types, and finally present the characteristics of wide data sources, miscellaneous types, and large scale. Due to reasons such as tech...

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Problems solved by technology

Existing data sharing and exchange systems (such as e-government exchange systems, flood control and drought relief command system exchange subsystems) are mainly dedicated data exchange systems for specific exchange needs, and the ability to expand when dealing with new heterogeneous data resources is stretched; different The exchange functions between exchange systems are difficult to communicate and share, and it is difficult to form a data exchange platform that supports cross-exchange systems; the data sharing and exchange functions are difficult to reuse, and solutions cannot be quickly formed to meet new data exchange needs, and the system has insufficient scalability

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