Research On Performance Optimization Of Intelligent Heterogeneous Data Integration System

With the quick development of computer network technology, the data on network grow in exploding way. And with the development of electronic commerce, the users' requests for summary information and decision information are urgent. In the circumstances, people deflect attention from multiple database integration to heterogeneous data integration. Because of the different characters of heterogeneous data integration, the query performance becomes the bottleneck problem of its application.Based on the intelligent heterogeneous data integration prototype system SORE that is supported by National Natural Science Fund of China (No.60172043), the performance factors are analyzed. With the performance objective preferred, the paper analyzes all kinds of performance problems and makes them optimization in each architecture hierarchy.Firstly, the functional architecture of the system is optimized. Secondly the paper prefers different optimization approaches according to every architecture hierarchy. In user layer, cache users' requests and show the results with multiple pages. In the integration server layer, design a query optimizer and research query rewrite, cost estimation model and caches mechanism. In data layer, the semi-structured data optimization is a main task. The different functional indexes are designed and implemented. Finally, in order to relieve the pressure from the users' requesting the new information and a great deal of requests in the same breath, the active service is adopted. End of the paper using some analog data, these approaches are proved effective and feasible.