Abstract
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 datalevel 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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Masud, M. M., & Kiringa, I. (2007). Collaborative data synchronization in an instance-mapped P2P data sharing system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4805 LNCS, pp. 7–8). Springer Verlag. https://doi.org/10.1007/978-3-540-76888-3_4
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