Collaborative Data Synchronization in an Instance-Mapped P2P Data Sharing System

In this paper, we propose a data synchronizing mechanism between peers in a peer-to-peer (P2P) database network where each peer has an independently created relational database. We assume that data-level mappings are used to resolve data heterogeneity between two peers. According to the strategy, peers resolve update execution conflicts during data synchronization in a collaborative fashion.