University of Oulu

Banijamali A., Kuvaja P., Oivo M., Jamshidi P. (2020) Kuksa∗: Self-adaptive Microservices in Automotive Systems. In: Morisio M., Torchiano M., Jedlitschka A. (eds) Product-Focused Software Process Improvement. PROFES 2020. Lecture Notes in Computer Science, vol 12562. Springer, Cham. https://doi.org/10.1007/978-3-030-64148-1_23

Kuksa : self-adaptive microservices in automotive systems

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Author: Banijamali, Ahmad1; Kuvaja, Pasi1; Oivo, Markku1;
Organizations: 1M3S Research Unit, ITEE Faculty, University of Oulu, Finland
2Computer Science and Engineering Department, University of South Carolina, USA
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.6 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020120399302
Language: English
Published: Springer Nature, 2020
Publish Date: 2020-12-03
Description:

Abstract

In pervasive dynamic environments, vehicles connect to other objects to send operational data and receive updates so that vehicular applications can provide services to users on demand. Automotive systems should be self-adaptive, thereby they can make real-time decisions based on changing operating conditions. Emerging modern solutions, such as microservices could improve self-adaptation capabilities and ensure higher levels of quality performance in many domains. We employed a real-world automotive platform called Eclipse Kuksa to propose a framework based on microservices architecture to enhance the self-adaptation capabilities of automotive systems for runtime data analysis. To evaluate the designed solution, we conducted an experiment in an automotive laboratory setting where our solution was implemented as a microservice-based adaptation engine and integrated with other Eclipse Kuksa components. The results of our study indicate the importance of design trade-offs for quality requirements’ satisfaction levels of each microservices and the whole system for the optimal performance of an adaptive system at runtime.

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Series: Lecture notes in computer science
ISSN: 0302-9743
ISSN-E: 1611-3349
ISSN-L: 0302-9743
ISBN: 978-3-030-64148-1
ISBN Print: 978-3-030-64147-4
Pages: 367 - 384
DOI: 10.1007/978-3-030-64148-1_23
OADOI: https://oadoi.org/10.1007/978-3-030-64148-1_23
Host publication: Product-Focused Software Process Improvement : 21st International Conference, PROFES 2020, Turin, Italy, November 25–27, 2020, Proceedings
Host publication editor: Morisio, Maurizio
Jedlitschka, Andrea
Torchiano, Marco
Conference: Product-Focused Software Process Improvement
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
Copyright information: © Springer Nature Switzerland AG 2020.This is a post-peer-review, pre-copyedit version of an article published in Product-Focused Software Process Improvement : 21st International Conference, PROFES 2020, Turin, Italy, November 25–27, 2020, Proceedings. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-64148-1_23.