Abstract
With the rapid development of the Internet of Things (IOT), the data management, data mining and data analysis in IOT systems require improving the usability of the multi-sourced, distributed, autonomous and heterogeneous data from the subsystems, making the aggregation, integration and collaboration of the data a focus in research. According to the characteristics of basic IOT data environment, a HDIM is proposed based on the comparison and analysis of the current existing data integration approaches. This model can not only mask the data heterogeneity in distributions, but also provide the customized application view for the upper applications, which can decouple the programs and data structures; additionally, the model can maintain the integrity and consistency of the data. Based on this HDIM model, a pattern-mapping-based system with the name of UDMP is designed and implemented. The experiments show that the proposed model and the corresponding system can address the features of the IOT with relative good performance.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Liu, L., Li, H.: Metadata Model in Grid Database and its Application. In: The 9th International Conference on Computer Supported Cooperative Work in Design, UK, pp. 362–366 (2005)
Guo, H.-M., Ma, S.-L.: Functional demand-driven resource aggregation method and implementation. Journal of Beihang University 34(5), 260–262 (2008)
Yang, Y.-Q., Ma, S.-L., Wen, J.: Method for data integration mechanism for maintaining data integrity. Journal of Beihang University 34(9), 1045–1048 (2008)
Guo, H.-M., Hao, G.-S.: Heterogeneous data integration and coordination in NGG. Journal of Beihang University 34(2), 180–182 (2008)
Wang, G.-L., Li, Y.-S., et al.: A service Grid Dynamic Information Aggregation Model and Its Application. Journal of Computers 28(4), 541–548 (2005)
Yeom, K.-W., Park, J.-H.: An Evolutionary Approach for Dynamic Reconfiguration in Heterogeneous Database Schemas. In: IEEE Congress on Evolutionary Computation Sheraton, Vancouver, Canada, pp. 162–166 (2006)
Nguyen, T.N.: Object—Oriented Software Configuration Management. In: 22nd IEEE International Conference on Software Maintenance, ICSM 2006, pp. 351–354 (2006)
Lenzerini, M.: Data Integration: A Theoertieal Pesrpective. In: Proceedings of the 21st ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, pp. 233–246. ACM, New York (2002)
Hu, C.-M., Huai, J.-P., Wo, T.-Y.: An end to end Support Service Grid Architecture. Journal of Software 17(5), 1448–1458 (2006)
King, G., Baue, C.: Hibernate in Action. Manning Publications Co. (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Liu, H., Liu, Y., Wu, Q., Ma, S. (2013). A Heterogeneous Data Integration Model. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. Communications in Computer and Information Science, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45025-9_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-45025-9_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-45024-2
Online ISBN: 978-3-642-45025-9
eBook Packages: Computer ScienceComputer Science (R0)