Heterogeneous data integration framework based on grid service

Abstract

Heterogeneous data integration plays an important role in the information management system (IMS). Traditional IMS have low integration degree and are difficult to adapt to dynamic changes of databases flexibly. In this paper, we propose a grid service framework for heterogeneous data integration. This framework consists of three layers, including data service layer, data integration layer and data display layer. The data integration layer is the core of the whole framework. An IMS is implemented according to the proposed framework, and massive data are used for the system implementation to verify the correctness of results practically. System performance evaluations are reported to establish the superiority of the grid technique in terms of the round-trip time and the CPU occupancy.