Cross-domain information system-oriented real-time on-demand data aggregation method and system

Abstract

The invention provides a cross-domain information system-oriented real-time on-demand data aggregation system and method. The system comprises a convergence end deployed in a target information systemand a plurality of source ends deployed in a plurality of source information systems, a convergence end connector and a source end connector establish virtual local area network tunnel mutual communication to form an overlay network; an aggregator collects aggregation requirements of various applications in a target information system for source data to form an aggregation rule, and gathers the data meeting the aggregation rule in the source information system; and a filter performs filtering operation on the data in the source information system according to the aggregation rule of the aggregator and transmits the data meeting application requirements to the aggregator in the target information system, and the aggregator provides an interface for an upper-layer application to acquire thedata. The invention provides a real-time cross-domain data aggregation framework which can dynamically customize data aggregation requirements, is millisecond-level in data transmission delay and iseasy to expand and update.

Description

technical field [0001] The present invention relates to a cross-domain distributed system, in particular, to a cross-domain information system-oriented real-time on-demand data aggregation method and system, and more specifically, to a real-time on-demand data aggregation framework and system based on a publish / subscribe model . Background technique [0002] In the current information society, each institution has its own information system. With the rapid development of current data analysis technology and the enrichment of application logic, the demand for various types of data across institutions and systems is becoming stronger and stronger. However, the business systems built by each organization are designed to meet their own business needs. The construction time is early, and the subsequent cross-agency cooperation and sharing are not considered, and the overall design is lacking. Data aggregation aims to solve the current difficulties of distribution, heterogeneity...

AI Technical Summary

Problems solved by technology

Such an architecture can avoid the heterogeneity problem of distributed independent systems, but it has three important defects: 1. Direct communication between software in different security domains will increase the risk of network control and information leakage; 2. It cannot effectively deal with distributed, autonomous, Heterogeneous information systems and the 3V characteristics of big data pose real-time and flexibility challenges; 3. High costs require personnel to develop proprietary server-side and client-side software and interfaces

At present, no data aggregation framework and system that can meet the above requirements have been proposed.

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