Docker containers are emerging technologies that enable easy deployment of the software as services independently from the used hardware devices hosting them such as ECUs in smart vehicles. For instance, software containers are critical to enabling subscription-based models for connected and smart vehicles. However, the execution of those containers can become quickly computationally expensive in constrained environments with limited CPU, memory, and energy resources.

Our team has designed and developed a new a dynamic software container management technology for constrained environments such as embedded devices/ECUs in smart cars. We evaluated our technology using different real-world scenarios (e.g. bugs isolation, low energy mode, etc.) based on heterogeneous clusters of ECU devices in the vehicle based on real-world software containers. Therefore, our technology should be one of the first containers management tools in the marketplace for software running in constrained devices that get licensed by our industry partner.