A Novel Framework for Integrating Heterogeneous Data Sources through Data Exchange
Yin-Ting Cheng, Mingchih Chen · Sensors and Materials · 2023
We present a design framework for an electronic system that facilitates the integration of heterogeneous data sources.To meet the specific requirements of data manipulation, different database systems need to exchange their data content to fulfill the needs of their respective systems.To address this challenge, a data exchange mechanism is proposed to enable the integration of external data from multiple sources and facilitate data exchange among multiple systems.Within this framework, a data exchange agent (DE-Agent) is designed to handle the integration and distribution of multiple external data sources into the internal system.The DE-Agent acts as an intermediary, effectively transmitting external data to the system's database.Experimental results demonstrate that the designed DE-Agent is capable of supporting stimulus operations from over forty inspectors while maintaining the correct and efficient functioning of the system.This research contributes to the development of an electronic system that effectively integrates heterogeneous data sources.The proposed design framework and DE-Agent provide a reliable mechanism for data exchange, enabling seamless integration between different database systems and ensuring the proper functioning of the overall system.