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

Banijamali, Ahmad; Jamshidi, Pooyan; Kuvaja, Pasi; Oivo, Markku

doi:10.1007/978-3-030-35333-9_32

Cited by 6 publications

(7 citation statements)

References 30 publications

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“…The Kuksa architecture [3] relies on more microservices, including Service discovery and registry, which automatically registers and deregisters service instances. It provides a source to find out which of the service instances are currently available.…”

Section: Eclipse Kuksamentioning

confidence: 99%

“…A previous survey [4] highlighted this research gap for architecture-based self-adaptation in automotive systems. To address this need, we empirically investigated how microservices patterns, such as load balancing, resiliency mechanisms, and monitoring systems can improve the self-adaptive quality performance under the dynamic conditions of the automotive domain [3]. In this paper, we extend the study on the microservice architectures in the automotive domain to suggest a framework called Kuksa * that aims at improving the self-adaptation capabilities of automotive systems by proposing a microservice-based autonomic controller.…”

Section: Introductionmentioning

confidence: 99%

“…Microservices: Large monolithic systems hardly can scale when different modules have conflicting resource requirements, life cycles, and deployment frameworks [3]. Thus, there has been an increasing interest to migrate systems to more scalable and reliable architectures, such as microservices [5].…”

Section: Introductionmentioning

confidence: 99%

“…Software architecture of Eclipse Kuksa.software solutions, and services. The project comprises three open-source software platforms for the (1) in-vehicle, (2) cloud, and (3) application integrated development environment, shown in Figure1(adopted from[3]). Gateways (in-vehicle/cloud) enable data communication from vehicles (i.e., car CAN-Bus) or control commands delivery to vehicles.…”

mentioning

confidence: 99%

“…Kuksa app store is a digital repository for software applications developed by vehicle manufacturers and other third-party providers. Visualisation and data analytics efficiently identify, collect, clean, analyse, and visualise that data to enable new services.The Kuksa architecture[3] relies on more microservices, including Service discovery and registry, which automatically registers and deregisters service instances. It provides a source to find out which of the service instances are currently available.…”

mentioning

confidence: 99%

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Kuksa$$^{*}$$: Self-adaptive Microservices in Automotive Systems

Banijamali

Kuvaja

Oivo

et al. 2020

Product-Focused Software Process Improvement

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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 selfadaptation 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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Section: Eclipse Kuksamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Kuksa$$^{*}$$: Self-adaptive Microservices in Automotive Systems

Banijamali

Kuvaja

Oivo

et al. 2020

Product-Focused Software Process Improvement

Self Cite

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Developing and Operating Artificial Intelligence Models in Trustworthy Autonomous Systems

Martínez‐Fernández

Franch

Jedlitschka

et al. 2021

Lecture Notes in Business Information Processing

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Companies dealing with Artificial Intelligence (AI) models in Autonomous Systems (AS) face several problems, such as users' lack of trust in adverse or unknown conditions, gaps between software engineering and AI model development, and operation in a continuously changing operational environment. This work-in-progress paper aims to close the gap between the development and operation of trustworthy AIbased AS by defining an approach that coordinates both activities. We synthesize the main challenges of AI-based AS in industrial settings. We reflect on the research efforts required to overcome these challenges and propose a novel, holistic DevOps approach to put it into practice. We elaborate on four research directions: (a) increased users' trust by monitoring operational AI-based AS and identifying self-adaptation needs in critical situations; (b) integrated agile process for the development and evolution of AI models and AS; (c) continuous deployment of different context-specific instances of AI models in a distributed setting of AS; and (d) holistic DevOps-based lifecycle for AI-based AS.

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