Abstract
Recently with the growth of the Internet and the activation of wireless communication, telematics services are emerging as promising next-generation business in the IT area. In order to provide telematics services, technologies in various areas are required but particularly DBMS technology for efficient data processing and management is an essential key technology for all types of telematics services. This paper designed and implemented TMOM (Telematics Moving Object Main Memory DBMS) to meet efficiently the requirements that telematics services should be provided in real-time. TMOM follows the spatial data model of OpenGIS “Simple Features Specification for SQL”, and provides spatial, spatio-temporal and temporal types and corresponding operators for processing the moving object data. In addition, it supports optimized spatial, spatio-temporal and trajectory indexes in the main memory for fast search of large moving object data and provides a recovery function that can minimize disk input-output to maximize system performance. Also, for high transmission efficiency in data import/export between telematics applications and a back-end DBMS, it supports a compression function and a data caching function suitable for the characteristics of spatial data.
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
Preview
Unable to display preview. Download preview PDF.
References
Bohannon, P., Rastogi, R., Seshadri, S., Silberschatz, A., Sudarshan, S.: Detection and Recovery Techniques for Database Corruption. IEEE Transactions on Knowledge and Data Engineering, 1120–1136 (2003)
Brinkhoff, T.: A Framework for Generating Network-Based Moving Objects. GeoInformatica 6(2), 153–180 (2002)
Guting, R.H., Bohlen, M.H., Erwig, M., Jensen, C.S., Lorentzos, N.A., Schneider, M., Vazirgiannis, M.: A Foundation for Representing and Querying Moving Objects. ACM Transactions on Database Systems, 1–42 (2000)
Kim, K.H., Cha, S.K., Kwon, K.J.: Optimizing Multidimensional Index Tree for Main Memory Access. In: Proc. of the ACM SIGMOD Conference, pp. 139–150 (2001)
Mindaugas, P., Simonas, Š., Christian, S.: Indexing the Past, Present, and Anticipated Future Positions of Moving Objects. ACM Transactions on Database Systems, 255–298 (2006)
Nam, K.W., Lee, J.H., Lee, S.H., Lee, J.W., Park, J.H.: Developing a Main Memory Moving Objects DBMS for High-Performance Location-Based Services. In: Proc. of the 6th Advanced Web Technologies and Applications Conference, pp. 864–873 (2004)
OpenGIS Consortium: Inc., Simple Features Specification for SQL, Version 1.1 (1999)
Pfoser, D., Jensen, C.S., Theodoridis, Y.: Novel Approaches in Query Processing for Moving Objects. In: Proc. of the International Conference on VLDB, pp. 395–406 (2000)
Theodoridis, Y., Nascimento, M.A.: Generating Spatiotemporal Datasets on the WWW. SIGMOD Record 29(3), 39–43 (2000)
Yun, J.-K., Kim, J.-J., Hong, D.-S., Han, K.-J.: Development of an embedded spatial MMDBMS for spatial mobile devices. In: Li, K.-J., Vangenot, C. (eds.) W2GIS 2005. LNCS, vol. 3833, pp. 1–10. Springer, Heidelberg (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, JJ., Hong, DS., Kang, HK., Han, KJ. (2006). TMOM: A Moving Object Main Memory-Based DBMS for Telematics Services. In: Carswell, J.D., Tezuka, T. (eds) Web and Wireless Geographical Information Systems. W2GIS 2006. Lecture Notes in Computer Science, vol 4295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11935148_24
Download citation
DOI: https://doi.org/10.1007/11935148_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49466-9
Online ISBN: 978-3-540-49467-6
eBook Packages: Computer ScienceComputer Science (R0)