The fusion of virtualized base software with simulation technologies has transformed the methods used for development and system testing. This paper examines the architecture, implementation, and advantages of employing virtualization to improve simulation environments. Virtualized base software enables the creation of isolated, scalable, and replicable settings, essential for executing complex simulations that replicate real-world situations. Utilizing virtualization enhances simulations by making them more efficient, flexible, and cost-effective.
The study covers the essential elements of virtualized simulation platforms, such as containerization, network abstraction and virtual drivers. It also analyzes how these components collaborate to create a strong framework for simulating diverse applications, ranging from software testing to hardware emulation. This approach offers several benefits, including better resource utilization, quicker deployment times, and the flexibility to easily modify and scale simulations to meet different needs.
With Software Defined Vehicle (SDV) becoming today’s reality, the need to continuously verify and validate software components independent from specific target deployments is challenging traditional testing approaches. Virtualization allows for high degree of scalability, enabling Continuous Testing (CT) with fast feedback cycles for verification and validation.
Through case studies and experimental results, the paper showcases the practical uses of virtualized simulation, emphasizing its influence on industries like automotive and aerospace. The findings indicate that virtualized base software not only improves the accuracy and reliability of simulations but also substantially cuts down the time and cost compared to traditional testing methods.
In conclusion, the integration of virtualization technologies with simulation platforms represents a significant advancement in the field, offering substantial benefits in terms of performance, scalability, and cost-efficiency. Future research directions include exploring more advanced virtualization techniques, improving interoperability between different simulation tools, and expanding the use of virtualized simulations in emerging technologies.