Skip to main content

Introducing a Framework for Scalable Dynamic Process Discovery

  • Conference paper

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 174))

Abstract

Businesses are becoming increasingly globally interconnected and need to continuously adapt to global market changes and trends in order to stay competitive. Business processes are fundamental parts and drivers of these globally connected organizations which is why their management, analysis, and optimization are of utmost importance. Discovering and understanding the actual execution flow of processes deployed in your organization is an important enabler for these tasks. However, this has become increasingly difficult since business processes are now mostly distributed over different systems, highly dynamic, and may produce thousands of events per second which may conform to a number of different formats. These particular challenges are currently not specifically accounted for in the research field of Process Discovery. In order to address these challenges, this paper presents a concept for scalable dynamic process discovery, which is a scalable solution for identifying and keeping up with the evolution of dynamic, collaborative business processes. Furthermore, a framework for this concept is proposed along with the requirements and implementation details for the involved components and models.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. von Ammon, R., Ertlmaier, T., Etzion, O., Kofman, A., Paulus, T.: Integrating Complex Events for Collaborating and Dynamically Changing Business Processes. In: Dan, A., Gittler, F., Toumani, F. (eds.) ICSOC/ServiceWave 2009. LNCS, vol. 6275, pp. 370–384. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  2. von Ammon, R.: Event-Driven Business Process Management. In: Proceedings of Encyclopedia of Database Systems, pp. 1068–1071. Springer US (2009)

    Google Scholar 

  3. Eckert, M.: Complex Event Processing with XChange EQ: Language Design, Formal Semantics, and Incremental Evaluation for Querying Events (2008)

    Google Scholar 

  4. Friedenstab, J.-P., Janiesch, C., Matzner, M., Müller, O.: Extending BPMN for Business Activity Monitoring. In: Proceedings of 45th Hawaii International International Conference on Systems Science, pp. 4158–4167. IEEE (2012)

    Google Scholar 

  5. Günther, C.W., Verbeek, E.: XES - Standard Definition (2012), http://www.xes-standard.org/_media/xes/xesstandarddefinition-1.4.pdf (accessed January 25, 2014)

  6. Intalio. BPMS designer, http://www.intalio.com/products/bpms/overview/ (accessed January 25, 2014)

  7. Janiesch, et al.: Slipstream: Architecture Options for Real-time Process Analytics. In: Chu, W., et al. (eds.) Proceedings of the ACM Symposium on Applied Computing (2011)

    Google Scholar 

  8. Ko, R.K.L.: A computer scientist’s introductory guide to business process management (BPM). ACM Crossroads Journal (2009)

    Google Scholar 

  9. Ko, R.K.L., Lee, S.S.G., Lee, E.W.: Business Process Management (BPM) Standards: a Survey. BPM Journal 15(5), 744–791 (2009)

    Google Scholar 

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

    Google Scholar 

  11. OASIS: Web Services Business Process Execution Language Version 2.0. (2007), http://docs.oasis-open.org/wsbpel/2.0/wsbpel-v2.0.pdf

  12. Object Management Group Inc.: Business Process Model and Notation (BPMN) Specification 2.0 (2011), http://www.omg.org/spec/BPMN/2.0/PDF

  13. Redlich, D., Gilani, W.: Event-Driven Process-Centric Performance Prediction via Simulation. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds.) BPM 2011 Workshops, Part I. LNBIP, vol. 99, pp. 473–478. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  14. Redlich, D., Blair, G., Rashid, A., Molka, T., Gilani, W.: Research Challenges for Business Process Models at Run-time. LNCS State-of-the-Art Survey Volume on Models@run.time (2014) (not published yet)

    Google Scholar 

  15. Scheer, I.D.S.: ARIS (Architecture of integrated Information Systems) (1992)

    Google Scholar 

  16. van der Aalst, W., Weijters, A., Maruster, L.: Workflow Mining: Discovering Process Models from Event Logs. IEEE Transactions on Knowledge and Data Engineering 16(9), 1128–1142 (2004)

    Article  Google Scholar 

  17. van der Aalst, W.M.P., ter Hofstede, A.H.M., Weske, M.: Business Process Management: A Survey. In: van der Aalst, W.M.P., ter Hofstede, A.H.M., Weske, M. (eds.) BPM 2003. LNCS, vol. 2678, pp. 1–12. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  18. van der Aalst, W., et al.: Process Mining Manifesto. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds.) BPM 2011 Workshops, Part I. LNBIP, vol. 99, pp. 169–194. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  19. van der Aalst, W., Ter Hofstede, A.: YAWL: Yet Another Workflow Language (2003)

    Google Scholar 

  20. van der Aalst, W.: Process Mining - Discovery, Conformance and Enhancement of Business Processes. Springer (2011)

    Google Scholar 

  21. Weijters, A., van der Aalst, W., Alves de Medeiros, A.: Process Mining with the Heuristics Miner-algorithm. BETA Working Paper Series, WP 166, Eindhoven University of Technology (2006)

    Google Scholar 

  22. Woods, D., Word, J.: SAP Netweaver for Dummies. Wiley, Hoboken (2004)

    Google Scholar 

  23. zur Muehlen, M., Swenson, K.D.: BPAF: A Standard for the Interchange of Process Analytics Data. In: Muehlen, M.z., Su, J. (eds.) BPM 2010 Workshops. LNBIP, vol. 66, pp. 170–181. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Redlich, D., Gilani, W., Molka, T., Drobek, M., Rashid, A., Blair, G. (2014). Introducing a Framework for Scalable Dynamic Process Discovery. In: Aveiro, D., Tribolet, J., Gouveia, D. (eds) Advances in Enterprise Engineering VIII. EEWC 2014. Lecture Notes in Business Information Processing, vol 174. Springer, Cham. https://doi.org/10.1007/978-3-319-06505-2_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-06505-2_11

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06504-5

  • Online ISBN: 978-3-319-06505-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics