Browse > Article
http://dx.doi.org/10.7319/kogsis.2012.20.1.021

Development of a Spatio-Temporal DSMS for the Real-time Management of Moving Objects Data Stream  

Shin, In-Su (건국대학교 컴퓨터공학부)
Kim, Jang-Woo (대원산업 전산실)
Kim, Joung-Joon (건국대학교 컴퓨터공학부)
Han, Ki-Joon (건국대학교 컴퓨터공학부)
Publication Information
Journal of Korean Society for Geospatial Information Science / v.20, no.1, 2012 , pp. 21-31 More about this Journal
Abstract
Recently, according to the development of ubiquitous computing technology, the efficient management of locations of moving objects is increasing rapidly in various fields. However, MODBMS and DSMS can not support the efficient real-time management of spatio-temporal stream data of moving objects. Therefore, this paper designed and implemented a spatio-temporal DSMS which can support the efficient real-time management of spatio-temporal stream data of moving objects. Especially, to develop the spatio-temporal DSMS, we extended STREAM of Stanford University and used GEOS that supports spatial data types and spatial operators of OGC. Finally, this paper proved the efficiency of the spatio-temporal DSMS by applying it to the real-time monitoring field which requires the real-time management of spatio-temporal stream data of moving objects.
Keywords
Moving Object Location Data; Spatio-temporal Stream Data; STREAM; Spatio-Temporal DSMS;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Open Geospatial Consortium, Inc, 2010, OpenGIS Implementation Specification for Geographic Information-Simple Feature Access-Part 2:SQL Option, Version 1.2.1.
2 Ramsey, P., 2006, The State of Open Source GIS, Refractions Research Inc.
3 Stanford University InfoLab, STREAM: The Stanford Stream Data Manager, http://infolab.stanford.edu/stream/code/user.pdf.
4 Steere, C., Baptista, A., McNamee, D., Pu, C., and Walpole, J., 2000, Research Challenges in Environmental Observation and Forecasting Systems, Proc. of the Intl. Conference on Mobile Computing and Networking, pp.292-299.
5 Widom, J., The Stanford Data Stream Management System, http://infolab.stanford.edu /-widom/streamtalk.ppt.
6 박치민, 김동오, 홍동숙, 한기준, 2006, 이동 센서를 위한 데이터셋 생성기, GIS/RS 공동 춘계학술대회 논문집, 한국GIS학회, pp.131-137.
7 원종호, 이미영, 김명준, 2004, 유비쿼터스 컴퓨팅 환경을 위한 RFID 기반 센서 데이터 처리 미들웨어 기술 동향, 전자통신동향분석, 19권 5호, pp.21-29.
8 Arasu, A., Babcock, B., Babu, S., Cieslewicz, J., Datar, M., Ito, K., Motwani, R., Srivastava, U., and Widom, J., 2004, STREAM: The Stanford Data Stream Management System, http://dbpubs.stanford.edu/pub/2004-20.
9 Babcock, B., Babu, S., Datar, M., Motwani, R., and Widom, J., 2002, Models and Issues in Data Stream Systems, Proc. of the ACM SIGACT-SIGMODSIGART Symposium on Principles of Database Systems, pp.1-16.
10 Arasu, A., Babu, S., and Widom, J., 2006, The CQL Continuous Query Language: Semantic Foundations and Query Execution, The VLDB Journal, Vol.15, No.2, pp.121-142.   DOI   ScienceOn
11 Cranor, C. D., Johnson, T., Spatscheck, O., and Shkapenyuk, V., 2003, Gigascope: A Stream Database for Network Application, Proc. of the ACM SIGMOD Intl. Conference on Management of Data, pp.647-651.
12 Geometry Engine Open Source(GEOS), http://trac.osgeo.org/geos/.
13 Golab, L., and Ozsu, M. T., 2003, Issues in Data Stream Management, SIGMOD Record, Vol.32, No.2, pp.5-14.   DOI   ScienceOn
14 Krishnamurthy, S., Chandrasekaran, S., Cooper, O., Deshpande, A., Franklin, M. J., Hellerstein, J. M., Hong, W., Madden, S. R., Reiss, F., and Shah, M. A., 2003, TelegraphCQ: An Architectural Status Report, IEEE Data Engineering Bulletin, Vol.26, No.1, pp.11-18.
15 Mainwaring, A., Polastre, J., Szewczyk, R., Culler, D., and Anderson, J., 2002, Wireless Sensor Networks for Habitat Monitoring, Proc. of the ACM Intl. Workshop on Wireless Sensor Networks and Applications, pp.88-97.
16 Open Geospatial Consortium, Inc, 2010, OpenGIS Implementation Specification for Geographic Information-Simple Feature Access-Part 1: Common Architecture, Version 1.2.1.