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Distributed Continuous Query Processing Scheme for RFID Data Stream  

Ahn, Sung-Woo (Department of Computer Engineering, Puan National University)
Hong, Bong-Hee (Department of Computer Engineering, Puan National University)
Jung, Dong-Gyu (News Service Development Team, NHN Corp.)
Publication Information
Abstract
An RFID application needs to collect product's information scattered over the RFID network efficiently according to the globalization of RFID applied enterprises. To be informed of the stock status of products promptly in the supply chain network, especially, it is necessary to support queries that retrieve statistical information of tagged products. Since existing RFID network does not provide these kinds of queries, however, an application should request a query to several RFID middleware systems and analyze collected data directly. This process makes an application do a heavy computation for retrieving statistical information. To solve this problem, we define a new Distributed Continuous Query that finds information of tagged products from the global RFID network and provides statistical information to RFID applications. We also propose a Distributed Continuous Query System to process the distributed continuous query efficiently. To find out the movement of products via multiple RFID systems in real time, our proposed system uses Pedigree which represents trade information of items. Our system can also reduce the cost of query processing for removing duplicated data from multiple middleware systems by using Pedigree.
Keywords
RFID;
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  • Reference
1 백한진, 'RTE 구현을 위한 전략,' 삼성 SDS IT 컨설팅팀, 2004
2 A. Arasu et al., 'STREAM: The Stanford Data Stream Manager,' IEEE Data Engineering Bulletin, 26(1), pp.19-26, 2003   DOI
3 W. H. Tok and S. Bressan, 'Efficient and Adaptive Processing of Multiple Continuous Queries,' EDBT, LNCS 2287, pp.329-332, 2002   DOI   ScienceOn
4 EPCglobal, 'Pedigree Specification Version 1.0 Ratified', EPCglobal Inc., 2007
5 EPCglobal, 'EPC Information Services (EPCIS) Specification,' Version 1.0, EPCglobal Inc., 2006
6 N. W. Siong, S. Yanfeng, and T. W. Hyong, 'CQ-Buddy: Harnessing Peers for Distributed Continuous Query Processing,' Dspace MIT, http://dspace.mit.edu/handle/1721.1/3855, 2004
7 J. K. Park, B. H. Hong, and C. H. Ban, 'A Query Index for Continuous Queries on RFID Streaming Data,' Science in China Series F: Information Sciences, 51(12), pp.2047-2061, 2008   DOI   ScienceOn
8 관세청, '2007 수출입 물류 통계연보', 관세청 대변인실, 2008년
9 EPCglobal, http://www.epcglobalinc.org
10 W. Ng, B. Ooi, and K. Tan, 'Bestpeer: A Self-Configurable Peer-to-Peer System,' ICDE, pp.272, 2002
11 한국유통물류진흥원, '업종별 RFID/EPC 확산전략 로드맵,' 한국유통물류진흥원, 2005년
12 통계청, '2008년 통계행정 편람,' 통계청 기획재정담당관실, 2008년
13 SupplyScape, 'Combining EPCIS with the Pedigree Messaging Standard', GS1 US, 2008
14 G. Deshpande and V. Chakravarthy, 'IB Master Data Management,' Technical Report, IBM, 2005
15 A. Arasu, S. Babu, and J. Widom, 'The CQL Continuous Query Language: Semantic Foundations and Query Execution,' VLDB Journal, 15(2), pp.121-142, 2006   DOI   ScienceOn
16 S. Madden, M. Shah, J. M. Hellerstein, and V. Raman, 'Continuously Adaptive Continuous Queries over Streams,' ACM SIGMOD International Conference on Management of Data, pp.49-60, 2002   DOI
17 Jetty 6 - Jetty Web Server, http://www.mortbay.org
18 EPCglobal, 'The EPCglobal Architecture Framework,' EPCglobal Inc., 2005