Software Architectures of the Convergence of Automotive Systems and Cloud Platforms
Thesis event information
Date and time of the thesis defence
Place of the thesis defence
Linnanmaa campus, Saalastinsali. Remote connection: https://oulu.zoom.us/j/65534025524
Topic of the dissertation
Software Architectures of the Convergence of Automotive Systems and Cloud Platforms
Doctoral candidate
Master of science Ahmad Banijamali
Faculty and unit
University of Oulu Graduate School, Faculty of Information Technology and Electrical Engineering, Empirical Software Engineering in Software, Systems and Services (M3S)
Subject of study
Software engineering
Opponent
Associate Professor Christian Berger, Chalmers University of Technology
Custos
Professor Markku Oivo, University of Oulu
On software architecture designs where automotive systems are connected to cloud platforms
Over the last few years, there has been an emerging interest in connecting automotive systems to cloud platforms. As a result, it has become imperative to improve software architectures that enable continuous software delivery, pervasive provisioning of services and connectivity through federated networks and resources. It is essential that the architecture designs allow frequent software updates, complex algorithms and better software quality in vehicles.
The dissertation investigates and proposes software architecture solutions that aim at improving continuous software delivery in the automotive domain while alleviating quality concerns under the dynamic performing conditions in vehicles. For this purpose, a combination of qualitative and quantitative methods was used for detailed analysis of previous literature, collecting architectural preferences from field experts, designing architectural solutions and evaluating the designed solutions in an experimental laboratory setting.
The results of this dissertation show that software architectures in the interplay of convergence of automotive systems and cloud platforms should address a wide range of quality concerns to fulfil different automotive scenarios. According to the findings, the availability, reliability and scalability of services are among the major quality concerns to be addressed. This dissertation also concludes that modern service-oriented architectures such as microservices are a fully potential solution to address these quality concerns and provide reliable, autonomous software functionalities under dynamic operating conditions in vehicles.
The dissertation investigates and proposes software architecture solutions that aim at improving continuous software delivery in the automotive domain while alleviating quality concerns under the dynamic performing conditions in vehicles. For this purpose, a combination of qualitative and quantitative methods was used for detailed analysis of previous literature, collecting architectural preferences from field experts, designing architectural solutions and evaluating the designed solutions in an experimental laboratory setting.
The results of this dissertation show that software architectures in the interplay of convergence of automotive systems and cloud platforms should address a wide range of quality concerns to fulfil different automotive scenarios. According to the findings, the availability, reliability and scalability of services are among the major quality concerns to be addressed. This dissertation also concludes that modern service-oriented architectures such as microservices are a fully potential solution to address these quality concerns and provide reliable, autonomous software functionalities under dynamic operating conditions in vehicles.
Last updated: 1.3.2023