skip to main content
10.1145/2797433.2797448acmotherconferencesArticle/Chapter ViewAbstractPublication PagesecsawConference Proceedingsconference-collections
research-article

Architectural Allocation Alternatives and Associated Concerns in Cyber-Physical Systems: A Case Study

Published:07 September 2015Publication History

ABSTRACT

Cyber-physical systems is an extension of traditional embedded systems, where communication to the outside world is given more emphasis. This leads to a new design space also for software development, allowing new allocation strategies for functionality. In traditional embedded systems, all functionality was inside the product, but now it becomes possible to partition the software between the embedded systems and IT systems outside the product. This paper investigates, through a case study from the automotive domain, possible new allocation alternatives where computation is offloaded from the embedded system to a server, and what additional architectural concerns this leads to, including performance, resource utilization, robustness, and lifecycle aspects. In addition, the paper addresses new opportunities created by allocating functionality outside the embedded systems, and thus making data available for extended services, as well as the larger concerns that result on the organizational level, including new competency in architecture and DevOps.

References

  1. Broy, M. and Schmidt, A. (2014). Challenges in Engineering Cyber-Physical Systems. Computer. 47(2):70--72. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Maier, M.W. (1998). Architecting principles for systems-of-systems. Systems Engineering. 1(4):267--284.Google ScholarGoogle ScholarCross RefCross Ref
  3. Axelsson, J., and Kobetski, A. (2014). Architectural Concepts for Federated Embedded Systems. In Proc. 2nd Intl. Workshop on Software Engineering for Systems-of-Systems.Google ScholarGoogle Scholar
  4. ISO/IEC/IEEE Std. 42010 (2011). Systems and software engineering --- Architecture description.Google ScholarGoogle Scholar
  5. Hevner, A.R. et al. (2004). Design Science in Information Systems Research. MIS Quarterly. 28, 1 (2004), 75--105. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Axelsson, J. et al. (2014). MOPED : A Mobile Open Platform for Experimental Design of Cyber-Physical Systems. Euromicro SEAA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. AUTOSAR consortium. www.autosar.org.Google ScholarGoogle Scholar
  8. Banks, A. and Gupta, R. (Eds.) MQTT Version 3.1.1. OASIS Standard, 2014.Google ScholarGoogle Scholar
  9. Pugh, S. (1991). Total Design: Integrated Methods for Successful Product Engineering. Addison-Wesley, New York.Google ScholarGoogle Scholar
  10. Faragher, R. (2012). Understanding the Basis of the Kalman Filter Via a Simple and Intuitive Derivation. IEEE Signal Processing Magazine, pp. 128--132.Google ScholarGoogle Scholar
  11. Abid, H., et al. (2011). V-Cloud: vehicular cyber-physical systems and cloud computing. In Proc.4th Intl. Symposium on Applied Sciences in Biomedical and Communication Technologies. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Wan, J. et al. (2014). VCMIA: A novel architecture for integrating vehicular cyber-physical systems and mobile cloud computing. Mobile Networks and Applications 19(2): 153--160.Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. He, W., Yan, G., and Da Xu, L. (2014). Developing vehicular data cloud services in the IoT environment. IEEE Trans.on Industrial Informatics, 10(2), 1587--1595.Google ScholarGoogle ScholarCross RefCross Ref
  14. La, H. J., and Kim, S. D. (2010). A service-based approach to designing cyber physical systems. In Proc. IEEE/ACIS 9th International Conference on Computer and Information Science, pp. 895--900. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Karnouskos, S. et al. (2012). A SOA-based architecture for empowering future collaborative cloud-based industrial automation. In 38th Annual Conference on IEEE Industrial Electronics Society, pp. 5766--5772.Google ScholarGoogle Scholar
  16. Chen, M., Wan, J., and Li, F. (2012). Machine-to-Machine Communications. KSII Transactions on Internet and Information Systems, 6(2), 480--497.Google ScholarGoogle Scholar
  17. Rabaey, J. M. (2011). The swarm at the edge of the cloud-a new perspective on wireless. In Proc. IEEE Symposium on VLSI Circuits, pp. 6--8.Google ScholarGoogle Scholar
  18. Olson, M., and Chandy, K. M. (2011). Performance issues in cloud computing for cyber-physical applications. In IEEE International Conference on Cloud Computing, pp. 742--743. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Architectural Allocation Alternatives and Associated Concerns in Cyber-Physical Systems: A Case Study

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      ECSAW '15: Proceedings of the 2015 European Conference on Software Architecture Workshops
      September 2015
      364 pages
      ISBN:9781450333931
      DOI:10.1145/2797433

      Copyright © 2015 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 7 September 2015

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited

      Acceptance Rates

      ECSAW '15 Paper Acceptance Rate51of77submissions,66%Overall Acceptance Rate80of120submissions,67%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader