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.
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
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)
von Ammon, R.: Event-Driven Business Process Management. In: Proceedings of Encyclopedia of Database Systems, pp. 1068–1071. Springer US (2009)
Eckert, M.: Complex Event Processing with XChange EQ: Language Design, Formal Semantics, and Incremental Evaluation for Querying Events (2008)
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)
Günther, C.W., Verbeek, E.: XES - Standard Definition (2012), http://www.xes-standard.org/_media/xes/xesstandarddefinition-1.4.pdf (accessed January 25, 2014)
Intalio. BPMS designer, http://www.intalio.com/products/bpms/overview/ (accessed January 25, 2014)
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)
Ko, R.K.L.: A computer scientist’s introductory guide to business process management (BPM). ACM Crossroads Journal (2009)
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)
Luckham, D.: The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems. Addison-Wesley Professional, Reading (2002)
OASIS: Web Services Business Process Execution Language Version 2.0. (2007), http://docs.oasis-open.org/wsbpel/2.0/wsbpel-v2.0.pdf
Object Management Group Inc.: Business Process Model and Notation (BPMN) Specification 2.0 (2011), http://www.omg.org/spec/BPMN/2.0/PDF
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)
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)
Scheer, I.D.S.: ARIS (Architecture of integrated Information Systems) (1992)
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)
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)
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)
van der Aalst, W., Ter Hofstede, A.: YAWL: Yet Another Workflow Language (2003)
van der Aalst, W.: Process Mining - Discovery, Conformance and Enhancement of Business Processes. Springer (2011)
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)
Woods, D., Word, J.: SAP Netweaver for Dummies. Wiley, Hoboken (2004)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights 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)