Skip to main content

edUFlow: An Event-Driven Ubiquitous Flow Management System

  • Conference paper
Business Process Management Workshops (BPM 2011)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 99))

Included in the following conference series:

Abstract

Ubiquitous technologies such as radio frequency identification (RFID) and wireless sensor network (WSN) have enabled companies to realize more rapid and agile manufacturing and service systems. In this paper, we design an event-driven ubiquitous process management system by using complex event processing technology for RFID and WSN. Such ubiquitous process management can be applied to manufacturing, logistics, and supply chain process. In particular, we focus on complex event processing of sensor and RFID events in order to integrate them to business rules of business process. The ubiquitous event processing helps to filter and aggregate ubiquitous events, to detect event patterns from sensors and RFID by means of event pattern languages (EPL), and trigger event-condition-action (ECA) rules in logistics processes.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Welbourne, E., Battle, L., Cole, G., Gould, K., Rector, K., Raymer, S., Balazinska, M., Borriello, G.: Building the Internet of Things Using RFID: The RFID Ecosystem Experience. IEEE Internet Computing 13(3), 48–55 (2009)

    Article  Google Scholar 

  2. Luckham, D.: The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems. Addison-Wesley, Massachusetts (2002)

    Google Scholar 

  3. Wang, F., Liu, S., Liu, P.: Complex RFID Event Processing. VLDB Journal 18(4), 913–931 (2009)

    Article  Google Scholar 

  4. Dunkel, J.: On Complex Event Processing for Sensor Networks. In: 9th IEEE International Symposium on Autonomous Decentralized Systems, pp. 249–255 (2009)

    Google Scholar 

  5. Suntinger, M., Obweger, H., Schiefer, J., Groller, M.E.: Event Tunnel: Exploring Event-Driven Business Processes. IEEE Computer Graphics and Application 28(5), 46–55 (2008)

    Article  Google Scholar 

  6. Kortuem, G., Kawsar, F., Fitton, D., Sundramoorthy, V.: Smart Objects as Building Blocks for the Internet of Things. IEEE Internet Computing 14(1), 44–51 (2010)

    Article  Google Scholar 

  7. Riem, R.: Cold Chain Management Using an Ultra Low Power Wireless Sensor Network. In: Workshop on Applications of Mobile Embedded Systems, pp. 21–23 (2004)

    Google Scholar 

  8. Woo, S.H., Choi, J.Y., Kwak, C., Kim, C.O.: An Active Product State Tracking Architecture in Logistics Sensor Networks. Computers in Industry 60(3), 149–160 (2009)

    Article  Google Scholar 

  9. EsperTech, http://www.espertech.com/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Jung, JY., Rosales, P., Oh, K., Kim, K. (2012). edUFlow: An Event-Driven Ubiquitous Flow Management System. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds) Business Process Management Workshops. BPM 2011. Lecture Notes in Business Information Processing, vol 99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28108-2_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-28108-2_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28107-5

  • Online ISBN: 978-3-642-28108-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics