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 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.
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References
Kementsietsidis, A., Arenas, M., Miller, R.J.: Mapping Data in Peer-to-Peer Systems: Semantics and Algorithmic Issues. In: SIGMOD (2003)
Masud, M., Kiringa, I., Ural, H.: Update Propagation and Data Synchronization in Instance Mapped Peer Data Sharing Systems. In: InterDB (2007)
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© 2007 Springer-Verlag Berlin Heidelberg
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Masud, M.M., Kiringa, I. (2007). Collaborative Data Synchronization in an Instance-Mapped P2P Data Sharing System. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops. OTM 2007. Lecture Notes in Computer Science, vol 4805. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76888-3_4
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DOI: https://doi.org/10.1007/978-3-540-76888-3_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76887-6
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