Abstract
This study investigates Complex Event Processing (CEP) Pattern on Radio-Frequency Identification (RFID) applications. RFID technolgy has brought tremendous benefits for the business by incorporating RFID data into supply chain planning and business processing, however, this progress has also raised important problems for RFID data processing. How to mine the signification information from RFID events is a challenge in RFID applications. In this paper, we take an CEP Pattern-oriented approach to process RFID data. A novel event pattern based on semantics operator is proposed. A formalization event hierarchy is used to model complex event with the event ontology, and provides abstract hierarchical views allowing us to view the system activities at different levels. Several complex event patterns are proposed based on semantic event operators. An algorithm is performed to test reorganization performance of patterns, a rule-based method is used to recognize efficiently on primitive event and composite event. The results showed that the advantage of the proposed complex event pattern approach is remarkable. It is concluded that the method of CEP pattern can simplify and improve RFID application.
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
Louis Perrochon, E.J., Stephane Kasriel, and David C. Luckham, Enlisting Event Patterns for Cyber Battlefield Awareness. 2006..
Shyh-Kwei Chen, J.-J.J., Henry Chang. Complex Event Processing using Simple Rule-based Event Correlation Engines for Business Performance Management. in Proceedings of the 8th IEEE International Conference on E-Commerce Technology on Enterprise Computing, E-Commerce, and E-Services. 2006.
Y. Bai, F. Wang, and P. Liu: Efficiently Filtering RFID Data Streams. To Appear in Proc. of the First International VLDB Workshop on Clean Databases (CleanDB’06).
J. L. David Maier1, Peter Tucker2, Kristin Tufte1, and Vassilis Papadimos1, “Semantics of Data Streams and Operators,” 2005.
F. W. a. P. L. Shaorong Liu “Integrated RFID Data Modeling: An Approach for Querying Physical Objects in Pervasive Computing,” in CIKM’06, November 5–11, 2006, Arlington, Virginia, USA. 2006.
S. Chakravarthy, J. D. Yang, and S. Yang, “A formal framework for computing composite events over histories and logs,” University of Florida, E470-CSE, Gainesville, FL 32611, Tech. Rep. UF-CIS TR-98-017, November 1998.
S. Chakravarthy, V. Krishnaprasad, E. Anwar, and S.-K. Kim, “Composite Events for Active Databases: Semantics, Contexts, and Detection,” in 20th International Conference on Very Large Databases (VLDB), 1994, pp. 606–617.
Q. Jiang, R. Adaikkalavan, and S. Chakravarthy, “Towards an Integrated Model for Event and Stream Processing,” TR CSE-2004-10, CSE Dept, Univ. of Texas at Arlington, 2004.
Roger S. Barga, Jonathan Goldstein, Mohamed Ali and Mingsheng Hon “Consistent Streaming Through Time: A Vision for Event Stream Processing”, Microsoft Research Redmond, WA, 3rd Biennial Conference on Innovative Data Systems Research (CIDR) January 7–10, 2007, Asilomar, California, USA.
D.J. Abadi, D, Carney, U. Cetintemel, et al. Aurora: A New Model and Architecture for Data Stream Management. VLDB Journal, 12(2):120–139, 2003
Wang, F., Liu, S., Liu, P., Bai, Y.: Bridging Physical and Virtual World: Complex Event Processing for RFID data Streams. In: Proc. of the 10th International Conference on Extending Database Technology, Munich Germany (2006)
Daniel Gyllstrom, Eugene Wu, et al, SASE: Complex Event Processing over Streams. In Proceedings of the Third Biennial Conference on Innovative Data Systems Research (CIDR 2007), Asilomar, CA, January 2007.
C. Zang, Y. Fan, Complex event processing in enterprise information systems based on RFID, Enterprise Information Systems, Volume 1, Issue 1 February 2007, pages 3–23
Liang Dong, Dong Wang, Huanye Sheng, Design of RFID Middleware Based on Complex Event Processing, in: Cybernetics and Intelligent Systems, 2006 IEEE Conference on, June 2006 On page(s): 1–6
Byung-Kook Son, Jun-Hwan Lee1, et al, An Efficient Method to Create Business Level Events Using Complex Event Processing Based on RFID Standards. In IFIP International Federation for Information Processing. 2007
CHRISTOF B, TAO L, STEPHAN H, et al. Integrating smart items with business processes an experience report, In: Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS), 2005:227–235.
Babcock B, Babu S, Datar M, Motwani R, Widom J, Models and issues in data streams. In: Popa L. ed. Proc, of the 21st ACM SIGACT-SIGMOD-SIGART Symp. On Principles of Database Systems. Madison: ACM Press, 2002. 1–16.
Terr D, Goldberg D, Nichols D, Oki B. Continuous queries over append-only databases SIGMOD Record, 1992. 21(2):321–330.
Avnur R, Hellerstein J. Eddies: Continuously adaptive query processing In: Chen W, Naughton JF, Bernstein PA, eds. Proc. of the 2000 ACM SIGMOD Int’l Conf. on Management of Data Dalias: ACM Press.2000.261–272.
P. Ronkainen. Attribute similarity and event sequence similarity in data mining. PhLic thesis, Report C-1998-42, University of Helsinki, Department of Computer Science, Helsinki, Finland, Oct. 1998
David C. Luckham, The power of events: an introduction to complex event processing in distributed enterprise systems [M]. Boston: Addison Wesley, 2002.
Zhen Liu, Anand Ranganathan, Anton Riabov. Specifying and Enforcing High-Level Semantic Obligation Policies. Eighth IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY’07) pp.119–128
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag London Limited
About this paper
Cite this paper
Ku, T., Zhu, Y.L., Hu, K.Y., Lv, C.X. (2008). A Novel Pattern for Complex Event Processing in RFID Applications. In: Mertins, K., Ruggaber, R., Popplewell, K., Xu, X. (eds) Enterprise Interoperability III. Springer, London. https://doi.org/10.1007/978-1-84800-221-0_47
Download citation
DOI: https://doi.org/10.1007/978-1-84800-221-0_47
Publisher Name: Springer, London
Print ISBN: 978-1-84800-220-3
Online ISBN: 978-1-84800-221-0
eBook Packages: EngineeringEngineering (R0)