Abstract
Data from different autonomous systems should be kept consistent to fulfill the business collaboration. This paper presents the framework, called MDSIF, for data synchronization among multi-datasets based on messages. With the shared data center, MDSIF provides the coherent data snapshots for all related datasets by sending, receiving, and storing the shared data encapsulated in messages. Furthermore, it introduces MDSIF’s synchronization mechanism in the formal way, which resolves data conflicts by setting attribute confidences and current value confidences respectively. According to this mechanism, those from the dataset with higher confidence value are allowed to overwrite those from the dataset with lower one. Finally, the case based on MDSIF is illustrated, showing that MDSIF needs only minimum manual intervention and is much more flexible, extendable and reliable, compared with the traditional trigger-based approach.
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References
Xianmin, L., Hui, W.: The Model of the Active Differential Data Synchronization for the Heterogeneous Data Source Integration Systems. In: The First International Symposium on Information Technologies and Applications in Education, pp. 572–574 (2007)
Koskimies, O.: Using data item relationships to adaptively select data for synchronization. In: Kutvonen, L., Alonistioti, N. (eds.) DAIS 2005. LNCS, vol. 3543, pp. 220–225. Springer, Heidelberg (2005)
Lee, Y.S., Kim, Y.S., Choi, H.: Conflict resolution of data synchronization in mobile environment. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds.) ICCSA 2004. LNCS, vol. 3044, pp. 196–205. Springer, Heidelberg (2004)
Guido, H., Malte, S., Erich, L.M.: Automatic data exchange and synchronization for knowledge-based intelligent virtual environments. IEEE Virtual Reality, 43–50 (2005)
Schutt, T., Schintke, F., Reinefeld, A.: Efficient synchronization of replicated data in distributed systems. In: Sloot, P.M.A., Abramson, D., Bogdanov, A.V., Gorbachev, Y.E., Dongarra, J., Zomaya, A.Y. (eds.) ICCS 2003. LNCS, vol. 2657, pp. 274–283. Springer, Heidelberg (2003)
Hao, Y., Xing-chun, D., Guo-quan, J.: Research on Data Synchronization in Oracle Distributed System. In: 2008 International Seminar on Future Information Technology and Management Engineering, pp. 540–542 (2008)
Endo, S., Miyamotot, T., Kumagait, S., Fujii, T.: A Data Synchronization Method for Peer-to-Peer Collaboration Systems. In: International Symposium on Communications and Information Technologies, pp. 368–373 (2004)
International Business Machines Corp, http://www-01.ibm.com/software/integration/wmq/
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Yu, D., Li, W. (2009). The Study of Synchronization Framework among Multi-datasets. In: Ślęzak, D., Kim, Th., Zhang, Y., Ma, J., Chung, Ki. (eds) Database Theory and Application. DTA 2009. Communications in Computer and Information Science, vol 64. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10583-8_3
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DOI: https://doi.org/10.1007/978-3-642-10583-8_3
Publisher Name: Springer, Berlin, Heidelberg
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