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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
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)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-540-76888-3_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76887-6
Online ISBN: 978-3-540-76888-3
eBook Packages: Computer ScienceComputer Science (R0)