Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Enabling Self-adaptive Workflows for Cyber-physical Systems

  • Conference paper
  • First Online:
Enterprise, Business-Process and Information Systems Modeling (BPMDS 2016, EMMSAD 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 248))

  • 1335 Accesses

Abstract

The ongoing development of Internet of Things technologies leads to the interweaving of the virtual world of software with the physical world. However, applying workflow technologies for automating processes in these Cyber-physical Systems (CPS) poses new challenges as the real world effects of a process have to be verified to provide a consistent view of the cyber and physical world executions. In this work we present a synchronization and adaptation mechanism for processes based on the MAPE-K feedback loop for self-adaptive systems. By applying this loop, sensor and context information can be used to verify the real world effects of workflow execution and adapt the process in case of errors. The approach increases autonomy and resilience of process execution in CPS due to the self-adaptation capabilities. We present generic extensions to process meta-models and execution engines to implement the feedback loop and discuss our approach within a smart home scenario.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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 EPUB and 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

Institutional subscriptions

Similar content being viewed by others

References

  1. 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 

  2. Andonoff, E., Bouaziz, W., Hanachi, C., Bouzguenda, L.: An agent-based model for autonomic coordination of inter-organizational business processes. Informatica 20(3), 323–342 (2009)

    Google Scholar 

  3. Baumgrass, A., Ciccio, C.D., Dijkman, R., Hewelt, M., Mendling, J., Meyer, A., Pourmirza, S., Weske, M., Wong, T.Y.: GET controller and UNICORN: event-driven process execution and monitoring in logistics (i) (2015)

    Google Scholar 

  4. Bonino, D., Corno, F.: DogOnt - ontology modeling for intelligent domotic environments. In: Sheth, A.P., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 790–803. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  5. Brun, Y., Di Marzo Serugendo, G., Gacek, C., Giese, H., Kienle, H., Litoiu, M., Müller, H., Pezzè, M., Shaw, M.: Engineering self-adaptive systems through feedback loops. In: Cheng, B.H.C., Lemos, R., Giese, H., Inverardi, P., Magee, J. (eds.) Self-Adaptive Systems. LNCS, vol. 5525, pp. 48–70. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  6. Conti, M., Das, S.K., Bisdikian, C., Kumar, M., Ni, L.M., Passarella, A., Roussos, G., Trster, G., Tsudik, G., Zambonelli, F.: Looking ahead in pervasive computing: challenges and opportunities in the era of cyberphysical convergence. Pervasive Mobile Comput. 8(1), 2–21 (2012)

    Article  Google Scholar 

  7. Dar, K., Taherkordi, A., Baraki, H., Eliassen, F., Geihs, K.: A resource oriented integration architecture for the Internet of Things: a business process perspective. Pervasive Mobile Comput. 20, 145–159 (2015)

    Article  Google Scholar 

  8. Gurgen, L., Gunalp, O., Benazzouz, Y., Gallissot, M.: Self-aware cyber-physical systems and applications in smart buildings and cities. In: Proceedings of the Conference on Design, Automation and Test in Europe, DATE 2013, EDA Consortium, San Jose, CA, USA, pp. 1149–1154 (2013)

    Google Scholar 

  9. Herzberg, N., Meyer, A., Weske, M.: An event processing platform for business process management. In: 17th IEEE International Enterprise Distributed Object Computing Conference, pp. 107–116 (2013)

    Google Scholar 

  10. Huber, S., Seiger, R., Schlegel, T.: Using semantic queries to enable dynamic service invocation for processes in the Internet of Things. In: 2016 IEEE International Conference on Semantic Computing (ICSC), pp. 214–221, February 2016

    Google Scholar 

  11. Kephart, J., Kephart, J., Chess, D., Boutilier, C., Das, R., Kephart, J.O., Walsh, W.E.: An architectural blueprint for autonomic computing. IBM (2003)

    Google Scholar 

  12. Koetter, F., Kochanowski, M.: Goal-Oriented model-driven business process monitoring using ProGoalML. In: Abramowicz, W., Kriksciuniene, D., Sakalauskas, V. (eds.) BIS 2012. LNBIP, vol. 117, pp. 72–83. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  13. Kopetz, H.: System-of-systems complexity. arXiv preprint (2013). arXiv:1311.3629

  14. Kramer, J., Magee, J.: Self-managed systems: an architectural challenge. In: Future of Software Engineering, FOSE 2007, pp. 259–268. IEEE (2007)

    Google Scholar 

  15. Lee, E.: Cyber physical systems: design challenges. In: 2008 11th IEEE International Symposium on Object Oriented Real-Time Distributed Computing (ISORC), pp. 363–369, May 2008

    Google Scholar 

  16. Leotta, F., Mecella, M., Mendling, J.: Applying process mining to smart spaces: perspectives and research challenges. In: Persson, A., Stirna, J. (eds.) CAiSE 2015 Workshops. LNBIP, vol. 215, pp. 298–304. Springer, Heidelberg (2015)

    Chapter  Google Scholar 

  17. Marrella, A., Mecella, M., Sardina, S.: SmartPM: an adaptive process management system through situation calculus, indigolog, and classical planning. In: Principles of Knowledge Representation and Reasoning, pp. 1–10. AAAI Press (2014)

    Google Scholar 

  18. Meyer, S., Ruppen, A., Hilty, L.: The things of the Internet of Things in BPMN. In: Persson, A., Stirna, J. (eds.) CAiSE 2015 Workshops. LNBIP, vol. 215, pp. 285–297. Springer, Heidelberg (2015)

    Chapter  Google Scholar 

  19. Meyer, S., Ruppen, A., Magerkurth, C.: Internet of Things-Aware process modeling: integrating IoT devices as business process resources. In: Salinesi, C., Norrie, M.C., Pastor, Ó. (eds.) CAiSE 2013. LNCS, vol. 7908, pp. 84–98. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  20. Oliveira, K., Castro, J., España, S., Pastor, O.: Multi-level autonomic business process management. In: Nurcan, S., Proper, H.A., Soffer, P., Krogstie, J., Schmidt, R., Halpin, T., Bider, I. (eds.) BPMDS 2013 and EMMSAD 2013. LNBIP, vol. 147, pp. 184–198. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  21. Perrin, O., Godart, C.: A model to support collaborative work in virtual enterprises. Data Knowl. Eng. 50(1), 63–86 (2004). Advances in business process management

    Article  Google Scholar 

  22. Saidani, O., Rolland, C., Nurcan, S.: Towards a generic context model for BPM. In: 2015 48th Hawaii International Conference on System Sciences (HICSS), pp. 4120–4129, January 2015

    Google Scholar 

  23. Seiger, R., Huber, S., Schlegel, T.: PROtEUS: an integrated system for process execution in cyber-physical systems. In: Gaaloul, K., Schmidt, R., Nurcan, S., Guerreiro, S., Ma, Q. (eds.) BPMDS 2015 and EMMSAD 2015. LNBIP, vol. 214, pp. 265–280. Springer, Heidelberg (2015)

    Chapter  Google Scholar 

  24. Seiger, R., Keller, C., Niebling, F., Schlegel, T.: Modelling complex and flexible processes for smart cyber-physical environments. J. Comput. Sci. 10, 137–148 (2015)

    Article  Google Scholar 

  25. Seiger, R., Niebling, F., Schlegel, T.: A distributed execution environment enabling resilient processes for ubiquitous systems. In: 2014 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pp. 220–223, March 2014

    Google Scholar 

  26. Smirek, L., Zimmermann, G., Ziegler, D.: Towards universally usable smart homes-how can myui, urc and openhab contribute to an adaptive user interface platform. In: IARIA, Nice, France, pp. 29–38 (2014)

    Google Scholar 

  27. Weber, B., Rinderle, S., Wild, W., Reichert, M.: CCBR–Driven business process evolution. In: Muñoz-Ávila, H., Ricci, F. (eds.) ICCBR 2005. LNCS (LNAI), vol. 3620, pp. 610–624. Springer, Heidelberg (2005). http://dx.doi.org/10.1007/11536406_46

    Chapter  Google Scholar 

  28. Weidlich, M., Ziekow, H., Gal, A., Member, S., Mendling, J., Weske, M.: Optimising event pattern matching using business process models. IEEE Trans. Knowl. Data Eng. 26(11), 1–14 (2013)

    Google Scholar 

  29. Wieland, M., Schwarz, H., Breitenbucher, U., Leymann, F.: Towards situation-aware adaptive workflows: Sitopta general purpose situation-aware workflow management system. In: 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), pp. 32–37. IEEE (2015)

    Google Scholar 

  30. Wombacher, A.: How physical objects and business workflows can be correlated. In: Proceedings - 2011 IEEE International Conference on Services Computing, SCC 2011, pp. 226–233 (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Software and Multimedia Technology, Technische Universität Dresden, 01062, Dresden, Germany

    Ronny Seiger, Steffen Huber, Peter Heisig & Uwe Assmann

Authors
  1. Ronny Seiger
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Steffen Huber
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Peter Heisig
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Uwe Assmann
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ronny Seiger .

Editor information

Editors and Affiliations

  1. Munich University of Applied Scienc, Munich, Germany

    Rainer Schmidt

  2. Luxembourg Inst. of Science & Technology, Esch-sur-Alzette, Luxembourg

    Wided Guédria

  3. Dept. of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden

    Ilia Bider

  4. Univ. Lusófona de Humanidades e Techn., Lisboa, Portugal

    Sérgio Guerreiro

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Seiger, R., Huber, S., Heisig, P., Assmann, U. (2016). Enabling Self-adaptive Workflows for Cyber-physical Systems. In: Schmidt, R., Guédria, W., Bider, I., Guerreiro, S. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2016 2016. Lecture Notes in Business Information Processing, vol 248. Springer, Cham. https://doi.org/10.1007/978-3-319-39429-9_1

Download citation

Publish with us

Policies and ethics

Search

Navigation