A data sharing and exchange system based on cloud computing

Abstract

The invention discloses a cloud computing-based data sharing and exchange model and method. The model package includes: a data sharing service module to realize the sharing of distributed heterogeneous data resources; a data exchange service module to realize the exchange function of heterogeneous data; a management service module , to realize shared exchange and system management; enterprise service bus, to realize service registration and management; front-end exchange library, to realize the intermediate storage logical information library established for information exchange; front-end switch, to realize the unified exchange entrance and exit of exchange nodes Function. Methods By building a SaaS-based data sharing and exchange service system, the data stored in the business database is shared and exchange request submission and approval services are provided; the enterprise service bus is used to manage the service in a unified manner, and the exchange service business process is modeled with the help of management services Realize the dynamic combination of cross-business services; use the front-end exchange library to perform exchange storage and forwarding, and push it to the target node through the front-end processor.

Description

technical field [0001] 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 [0002] "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 technology, equi...

AI Technical Summary

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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