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Kuksa: A Cloud-Native Architecture for Enabling Continuous Delivery in the Automotive Domain

  • Ahmad BanijamaliEmail author
  • Pooyan Jamshidi
  • Pasi Kuvaja
  • Markku Oivo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11915)

Abstract

Connecting vehicles to cloud platforms has enabled innovative business scenarios while raising new quality concerns, such as reliability and scalability, which must be addressed by research. Cloud-native architectures based on microservices are a recent approach to enable continuous delivery and to improve service reliability and scalability. We propose an approach for restructuring cloud platform architectures in the automotive domain into a microservices architecture. To this end, we adopted and implemented microservices patterns from literature to design the cloud-native automotive architecture and conducted a laboratory experiment to evaluate the reliability and scalability of microservices in the context of a real-world project in the automotive domain called Eclipse Kuksa. Findings indicated that the proposed architecture could handle the continuous software delivery over-the-air by sending automatic control messages to a vehicular setting. Different patterns enabled us to make changes or interrupt services without extending the impact to others. The results of this study provide evidences that microservices are a potential design solution when dealing with service failures and high payload on cloud-based services in the automotive domain.

Keywords

Microservices Cloud-native architecture Cloud computing Automotive 

References

  1. 1.
    Aderaldo, C.M., Mendonça, N.C., Pahl, C., Jamshidi, P.: Benchmark requirements for microservices architecture research. In: 1st International Workshop on Establishing the Community-Wide Infrastructure for Architecture-Based Software Engineering, pp. 8–13. IEEE (2017)Google Scholar
  2. 2.
    Balalaie, A., Heydarnoori, A., Jamshidi, P.: Microservices architecture enables devops: migration to a cloud-native architecture. IEEE Softw. 33, 42–52 (2016)CrossRefGoogle Scholar
  3. 3.
    Balalaie, A., Heydarnoori, A., Jamshidi, P.: Migrating to cloud-native architectures using microservices: an experience report. In: Celesti, A., Leitner, P. (eds.) ESOCC Workshops 2015. CCIS, vol. 567, pp. 201–215. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-33313-7_15CrossRefGoogle Scholar
  4. 4.
    Balalaie, A., Heydarnoori, A., Jamshidi, P., Tamburri, D.A., Lynn, T.: Microservices migration patterns. J. Softw.: Pract. Exp. 48, 2019–2042 (2018)Google Scholar
  5. 5.
    Bass, L., Weber, I., Zhu, L.: DevOps: A Software Architect’s Perspective. Addison-Wesley Professional, Boston (2015)Google Scholar
  6. 6.
    Chen, L.: Microservices: architecting for continuous delivery and DevOps. In: IEEE International Conference on Software Architecture (ICSA), pp. 39–397. IEEE (2018)Google Scholar
  7. 7.
    Contreras-Castillo, J., Zeadally, S., Guerrero-Ibanez, J.A.: Internet of vehicles: architecture, protocols, and security. Internet Things J. 5, 3701–3709 (2018)CrossRefGoogle Scholar
  8. 8.
    Datta, S.K., Gyrard, A., Bonnet, C., Boudaoud, K.: oneM2M architecture based user centric IoT application development. In: 3rd International Conference on Future Internet of Things and Cloud, pp. 100–107. IEEE (2015)Google Scholar
  9. 9.
    Dragoni, N., Dustdar, S., Larsen, S.T., Mazzara, M.: Microservices: migration of a mission critical system. arXiv preprint arXiv:1704.04173 (2017)
  10. 10.
    Ebert, C., Favaro, J.: Automotive software. IEEE Softw. 34, 33–39 (2017)CrossRefGoogle Scholar
  11. 11.
    Ebert, C., Gallardo, G., Hernantes, J., Serrano, N.: Devops. IEEE Softw. 33, 94–100 (2016)CrossRefGoogle Scholar
  12. 12.
    Fiosina, J., Fiosins, M., Müller, J.P.: Big data processing and mining for next generation intelligent transportation systems. J. Teknologi 63, 21–38 (2013)Google Scholar
  13. 13.
    Fowler, M., Lewis, J.: Microservices. https://martinfowler.com/articles/microservices.html
  14. 14.
    Google Cloud: Designing a Connected Vehicle Platform on Cloud IoT Core 2019-05-07. https://cloud.google.com/solutions/designing-connected-vehicle-platform
  15. 15.
    Häberle, T., Charissis, L., Fehling, C., Nahm, J., Leymann, F.: The connected car in the cloud: a platform for prototyping telematics services. IEEE Softw. 32, 11–17 (2015)CrossRefGoogle Scholar
  16. 16.
    Haghighatkhah, A., Banijamali, A., Pakanen, O., Oivo, M., Kuvaja, P.: Automotive software engineering: a systematic mapping study. J. Syst. Soft. 128, 25–55 (2017)CrossRefGoogle Scholar
  17. 17.
    He, W., Yan, G., Da, X.L.: Developing vehicular data cloud services in the IoT environment. IEEE Trans. Ind. Inf. 10, 1587–1595 (2014)CrossRefGoogle Scholar
  18. 18.
    Jain, P.: Automotive Cloud Technology to Drive Industry’s New Business Models - 2019-05-07. http://shiftmobility.com/2017/06/automotive-cloud-technology-drive-automotive-industrys-new-business-models
  19. 19.
    Armbrust, M., et al.: A view of cloud computing. Commun. ACM 53, 50–59 (2010)CrossRefGoogle Scholar
  20. 20.
    Levcovitz, A., Terra, R., Valente, M.T.: Towards a technique for extracting microservices from monolithic enterprise systems. arXiv:1605.03175 (2016)
  21. 21.
    Lu, N., Cheng, N., Zhang, N., Shen, X., Mark, J.W.: Connected vehicles: solutions and challenges. Internet Things J. 1, 289–299 (2014)CrossRefGoogle Scholar
  22. 22.
    Mietzner, R., Leymann, F., Unger, T.: Horizontal and vertical combination of multi-tenancy patterns in service-oriented applications. Enterp. Inf. Syst. 5, 59–77 (2011)CrossRefGoogle Scholar
  23. 23.
    Newman, S.: Building Microservices: Designing Fine-Grained Systems. O’Reilly Media Inc., Newton (2015)Google Scholar
  24. 24.
    O’Brien, L., Merson, P., Bass, L.: Quality attributes for service-oriented architectures. In: Proceedings of the International Workshop on Systems Development in SOA Environments, p. 3 (2007)Google Scholar
  25. 25.
    Pahl, C., Jamshidi, P.: Microservices: a systematic mapping study. In: Proceedings of the 6th International Conference on Cloud Computing and Services Science, pp. 137–146 (2016)Google Scholar
  26. 26.
    Rufino, J., Alam, M., Ferreira, J.: Monitoring V2X applications using DevOps and docker. In: International Smart Cities Conference, pp. 1–5 (2017)Google Scholar
  27. 27.
    Serrano, D., Baldassarre, T., Stroulia, E.: Real-time traffic-based routing, based on open data and open-source software. In: 3rd World Forum on Internet of Things, pp. 661–665 (2016)Google Scholar
  28. 28.
    Shavit, M., Gryc, A., Miucic, R.: Firmware update over the air (FOTA) for automotive industry. SAE Technical (2007)Google Scholar
  29. 29.
    Stol, K., Fitzgerald, B.: The ABC of software engineering research. ACM Trans. Softw. Eng. Methodol. 27, 11 (2018)CrossRefGoogle Scholar
  30. 30.
    Taibi, D., Lenarduzzi, V., Pahl, C.: Architectural patterns for microservices: a systematic mapping study. In: Proceedings of the 8th International Conference on Cloud Computing and Services Science, pp. 221–232 (2018)Google Scholar
  31. 31.
    Thönes, J.: Microservices. IEEE Softw. 32, 116–116 (2015)CrossRefGoogle Scholar
  32. 32.
    Yang, M., Mahmood, M., Zhou, X., Shafaq, S., Zahid, L.: Design and implementation of cloud platform for intelligent logistics in the trend of intellectualization. China Commun. 14, 180–191 (2017)CrossRefGoogle Scholar
  33. 33.
    Zeller, M., Prehofer, C., Krefft, D., Weiss, G.: Towards runtime adaptation in AUTOSAR. In: 5th Workshop on Adaptive and Reconfigurable Embedded Systems, vol. 10, pp. 17–20 (2013)Google Scholar
  34. 34.
    Zhang, T., Antunes, H., Aggarwal, S.: Defending connected vehicles against malware: challenges and a solution framework. Internet Things J. 1, 10–21 (2014)CrossRefGoogle Scholar
  35. 35.
    Zhu, L., Bass, L., Champlin-Scharff, G.: DevOps and its practices. IEEE Softw. 33, 32–34 (2016)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.M3S Research Unit, ITEE FacultyUniversity of OuluOuluFinland
  2. 2.Computer Science and Engineering DepartmentUniversity of South CarolinaColumbiaUSA

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