SEDCOct 22, 2019

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

arXiv:1910.10190v18 citations
Originality Synthesis-oriented
AI Analysis

This addresses reliability and scalability issues for automotive cloud services, but it is incremental as it applies existing microservices patterns to a specific domain.

The authors tackled the challenge of enabling continuous delivery in automotive cloud platforms by restructuring them into a microservices architecture, and found that this approach could handle over-the-air software updates and improve reliability and scalability in a real-world project.

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.

Foundations

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