Skip to main content

Context Variation for Service Self-contextualization in Cyber-Physical Systems

  • Conference paper
  • First Online:
Business Information Systems (BIS 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 208))

Included in the following conference series:

Abstract

Operation and configuration of Cyber-Physical Systems (CPSs) require approaches for managing the variability at design time and the dynamics at runtime caused by a multitude of component types and changing application environments. As a contribution to this area, this paper proposes to integrate concepts for variability management with approaches for self-organization in intelligent systems. Our approach exploits the idea of self-contextualization to autonomously adapt behaviors of multiple services to the current situation. More concrete, we put the “context” of CPS into the conceptual focus of our approach and propose context variants for use in self-contextualization of CPS. The main contributions of this paper are to identify challenges in variability management of CPS based on an industrial case, the integration of context variants into the reference model for self-contextualizing services and an initial validation using a case study.

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 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

Notes

  1. 1.

    http://www.ict-societies.eu/partners/.

  2. 2.

    http://www.sensei-project.eu/.

  3. 3.

    http://www.zigbee.org.

References

  1. Serugendo, G.D.M., Gleizes, M.-P., Karageorgos, A.: Self-organisation and emergence in MAS: an overview. Informatica 30, 45–54 (2006)

    MATH  Google Scholar 

  2. Preuveneers, D., Berbers, Y.: Internet of things: a context-awareness perspective. In: Yan, L., Zhang, Y., Yang, L.T., Ning, H. (eds.) The Internet of Things: From RFID to the Next-Generation Pervasive Networked Systems, pp. 287–307. Auerbach Publications, Taylor and Francis Group, New York (2008)

    Chapter  Google Scholar 

  3. Zhang, D., Huang, H., Lai, C.-F., Liang, X., Zou, Q., Guo, M.: Survey on Context-Awareness in Ubiquitous Media. Multimedia Tools Appl. 67, 1–33 (2011)

    MATH  Google Scholar 

  4. Schilit, B.N., Theimer, M.M.: Disseminating active map information to mobile hosts. Network, IEEE 8(5), 22–32 (1994)

    Article  Google Scholar 

  5. Dey, A.K.: Understanding and using context. Pers. Ubiquitous Comput. 5(1), 4–7 (2001)

    Article  Google Scholar 

  6. Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. In: mattern, f, Naghshineh, M. (eds.) PERVASIVE 2002. LNCS, vol. 2414, pp. 167–180. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  7. Wang, X., Zhang, D., Gu, T., Pung, H.: Ontology based context modeling and reasoning using OWL. In: Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications, pp. 18–22 (2004)

    Google Scholar 

  8. Dey, A.K., Salber, D., Abowd, G.D.: A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. In: Moran, T.P., Dourish, P. (eds.) Context-Aware Computing, Special Triple Issue of Human-Computer Interaction, vol. 16, pp. 229–241 (2001)

    Google Scholar 

  9. Thörn, C., Sandkuhl, K.: Feature modeling: managing variability in complex systems. In: Tolk, A., Jain, L.C. (eds.) Complex Systems in Knowledge-based Environments: Theory, Models and Applications. Studies in Computational Intelligence, vol. 168, pp. 129–162. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  10. Kang, K., Cohen, S.G., Hess, J.A., Novak, W.E., Peterson, S.A.: Feature-oriented domain analysis (FODA) - feasibility study. Technical Report CMU/SEI-90-TR-21, Carnegie-Mellon University (1990)

    Google Scholar 

  11. Kang, K.C., Kim, S., Lee, J., Kim, K., Shin, E., Huh, M.: FORM: a feature-oriented reuse method with domain-specific reference architectures. Annals of Softw. Eng. 5, 143–168 (1998)

    Article  Google Scholar 

  12. Czarnecki, K., Eisenecker, U.: Generative Programming. Addison-Wesley, Reading (2000)

    Google Scholar 

  13. Riebisch, M.: Towards a more precise definition of feature model. In: Riebisch, M., Coplien, J.O., Streitferdt, D. (eds.) Modelling Variability for Object-Oriented Product Lines. BookOnDemand Publ. Co, Norderstedt (2003)

    Google Scholar 

  14. Walraven, S., Van Landuyt, D., Truyen, E., Handekyn, K., Joosen, W.: Efficient customization of multi-tenant software-as-a-service applications with service lines. J. Syst. Softw. 91, 48–62 (2014)

    Article  Google Scholar 

  15. Mietzner, R., Metzger, A., Leymann, F., Pohl, K.: Variability modeling to support customization and deployment of multi-tenant-aware software as a service applications. In: Proceedings of the 2009 ICSE Workshop on Principles of Engineering Service Oriented Systems, pp. 18–25. IEEE Computer Society (2009)

    Google Scholar 

  16. Lin, J., Sedigh, S., Miller, A.: A semantic agent framework for cyber-physical systems. In: Elçi, A., Koné, M.T., Orgun, M.A. (eds.) Semantic Agent Systems. SCI, vol. 344, pp. 189–213. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  17. European Road Transport Research Advisory Council (2010) ERTRAC’s Strategic Research Agenda: Towards a 50 % more efficient road transport system by 2030. ERTRAC, October 2010. http://www.ertrac.org/. Accessed 04 Jan 2011

  18. Sandkuhl, K., Borchardt, U., Lantow, B., Stamer, D., Wißotzki, M.: Towards adaptive business models for intelligent information logistics in transportation. In: 11th International Conference, BIR 2012. Higher School of Economics, Nizhny Novgorod, Russia (2012)

    Google Scholar 

  19. Ambient Networks Phase 2. Integrated Design for Context, Network and Policy Management, Deliverable D10.-D1 (2006). http://www.ambient-networks.org/-Files/-deliverables/-D10-D.1_PU.pdf. Accessed 09 September 2014

  20. Hong, J., Suh, E., Kim, E.: Context-aware systems: a literature review and classification. Expert Syst. Appl. 36, 8509–8522 (2009)

    Article  Google Scholar 

  21. Zimmermann, A., Lorenz, A., Oppermann, R.: An operational definition of context. In: Kokinov, B., Richardson, D.C., Roth-Berghofer, T.R., Vieu, L. (eds.) CONTEXT 2007. LNCS (LNAI), vol. 4635, pp. 558–571. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  22. Raz, D., Juhola, A.T., Serrat-Fernandez, J., Galis, A.: Fast and Efficient Context-Aware Services. John Willey, New York (2006)

    Book  Google Scholar 

  23. Teslya, N.: Smart space-based Lego® mindstorms EV3 robots interaction. In: Proceedings of the 16th Conference of Open Innovations Association FRUCT, pp. 195–200 (2014)

    Google Scholar 

Download references

Acknowledgment

The research was supported partly by projects funded by grants # 14-07-00378, # 14-07-00345, # 14-07-00363 of the Russian Foundation for Basic Research. This work was also partially financially supported by Government of Russian Federation, Grant 074-U01.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nikolay Shilov .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Smirnov, A., Sandkuhl, K., Shilov, N., Telsya, N. (2015). Context Variation for Service Self-contextualization in Cyber-Physical Systems. In: Abramowicz, W. (eds) Business Information Systems. BIS 2015. Lecture Notes in Business Information Processing, vol 208. Springer, Cham. https://doi.org/10.1007/978-3-319-19027-3_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-19027-3_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19026-6

  • Online ISBN: 978-3-319-19027-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics