Abstract
Business process automation is one of the major benefits for utilising Radio Frequency Identification (RFID) technology. Through readers to RFID middleware systems, the information and the movements of tagged objects can be used to trigger business transactions. These features change the way of business applications for dealing with the physical world from mostly quantity-based to object-based. Aiming to facilitate business process automation, this paper introduces a new method to model and incorporate business logics into RFID edge systems from an object-oriented perspective with emphasises on RFID’s event-driven characteristics. A framework covering business rule modelling, event handling and system operation invocations is presented on the basis of the event calculus. In regard to the identified delayed effects in RFID-enabled applications, a two-block buffering mechanism is proposed to improve RFID query efficiency within the framework. The performance improvements are analysed with related experiments.
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References
Banks, J., Pachano, M., Thompson, L., Hanny, D.: RFID Applied. John Wiley & Sons, Chichester (2007)
Koh, S.C.L.: RFID in Supply Chain Management: A Review of Applications. In: Kumar, S. (ed.) Connective Technologies in the Supply Chain, pp. 17–40. Taylor & Francis, Abington (2007)
Liu, C., Li, Q., Zhao, X.: Challenges and Opportunities in Collaborative Business Process Management. Information System Frontiers 11, 201–209 (2009)
IDTechEx (2007), http://www.IDTechEx.com
Gillette, W.: Boeing Presentation at the Aerospace & Defense Summit (2004)
Bottani, E.: Reengineering, Simulation and Data Analysis of an RFID System. Journal of Theoretical and Applied Electronic Commerce Research 3, 12–29 (2008)
OMG: Business Process Modeling Notation (2009), http://www.omg.org/spec/BPMN/1.2/
Glover, B., Bhatt, H.: RFID Essentials. O’Reilly, Sebastopol (2006)
Shanahan, M.: The Event Calculus Explained. Artificial Intelligence Today, pp. 409–430. Springer, Heidelberg (1999)
Scheer, W.A.: Business Process Engineering, ARIS-Navigator for Reference Models for Industrial Enterprises. Springer, Berlin (1994)
Zhao, X.: Report: Proof of RFID Query Equivalent Transformations (2009), http://www.ict.swin.edu.au/personal/xzhao/proof.pdf
Zhao, X.: Report: 2-Block Buffering Mechanism for RFID Query Optimisation (2009), http://www.ict.swin.edu.au/personal/xzhao/algorithm.pdf
IBM Discrete Event Calculus Reasoner, http://decreasoner.sourceforge.net/
relsat 2.02, http://www.bayardo.org/resources.html
Wang, F., Liu, P.: Temporal Management of RFID Data. In: The 31st International Conference on Very Large Data Bases, Trondheim, Norway, pp. 1128–1139 (2005)
Bornhövd, C., Lin, T., Haller, S., Schaper, J.: Integrating Automatic Data Acquisition with Business Processes - Experiences with SAP’s Auto-ID Infrastructure. In: The 13th International Conference on Very Large Data Bases, Toronto, Canada, pp. 1182–1188 (2004)
Götz, T., Safai, S., Beer, P.: Efficient Supply Chain Management with SAP Solutions for RFID. Galileo Press (2006)
Nigam, A., Caswell, N.S.: Business Artifacts: An Approach to Operational Specification. IBM Systems Journal 42, 428–445 (2003)
Liu, R., Bhattacharya, K., Wu, F.Y.: Modeling Business Contexture and Behavior Using Business Artifacts. In: The 19th International Conference on Advanced Information Systems Engineering, Trondheim, Norway, pp. 324–339 (2007)
Hull, R.: Artifact-Centric Business Process Models: Brief Survey of Research Results and Challenges. In: Meersman, R., Tari, Z. (eds.) OTM 2008, Part II. LNCS, vol. 5332, pp. 1152–1163. Springer, Heidelberg (2008)
Gyllstrom, D., Wu, E., Chae, H.-J., Diao, Y., Stahlberg, P., Anderson, G.: SASE: Complex Event Processing over Streams. In: The 3rd Biennial Conference on Innovative Data Systems Research, Asilomar, CA, USA, pp. 407–411 (2007)
Wu, E., Diao, Y., Rizvi, S.: High-performance Complex Event Processing over Streams. In: The ACM SIGMOD International Conference on Management of Data, Chicago, Illinois, USA, pp. 407–418 (2006)
Bai, Y., Wang, F., Liu, P., Zaniolo, C., Liu, S.: RFID Data Processing with a Data Stream Query Language. In: The 23rd International Conference on Data Engineering, Istanbul, Turkey, pp. 1184–1193 (2007)
Park, J., Hong, B., Ban, C.: A Continuous Query Index for Processing Queries on RFID Data Stream. In: 13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, Daegu, Korea, pp. 138–145 (2007)
Hu, W., Misra, A., Shorey, R.: CAPS: Energy-Efficient Processing of Continuous Aggregate Queries in Sensor Networks. In: The 4th Annual IEEE International Conference on Pervasive Computing and Communications, Pisa, Italy, pp. 190–199 (2006)
Wang, F., Liu, S., Liu, P., Bai, Y.: Bridging Physical and Virtual Worlds: Complex Event Processing for RFID Data Streams. In: The 10th International Conference on Extending Database Technology, Munich, Germany, pp. 588–607 (2006)
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Zhao, X., Liu, C., Lin, T. (2009). Enhancing Business Process Automation by Integrating RFID Data and Events. In: Meersman, R., Dillon, T., Herrero, P. (eds) On the Move to Meaningful Internet Systems: OTM 2009. OTM 2009. Lecture Notes in Computer Science, vol 5870. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05148-7_18
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DOI: https://doi.org/10.1007/978-3-642-05148-7_18
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