Data Integration
Data integration is the process of providing the user a unified view of data residing at different databases. Recently, as the amount of generated data has been increasing, the demand for utilizing distributed data as a whole also has been increasing. We are researching efficient transaction management method in the P2P-based data integration architecture, called Dejima.
Related Publications
Ryoga Yoshida, Chuan Xiao, Makoto Onizuka: Workload Cost Optimization Using Dynamic Replication in Decentralized Systems. DOLAP 2025: 74-78.
[Book] Zhenjiang Hu, Makoto Onizuka, Masatoshi Yoshikawa, Bidirectional Collaborative Data Management, Springer, December 2024.
[Book] Zhenjiang Hu, Makoto Onizuka, Masatoshi Yoshikawa, Bidirectional Collaborative Data Management, Springer, December 2024.
Funding
23K17456, Research on an Autonomous and Collaborative Database Integration Framework
Japan Society for the Promotion of Science (JSPS), Grant-in-Aid for Scientific Research (Challenging Research [Pioneering]), June 2023 – March 2028