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Connectivity and digitization have turned vehicles into smart devices which continuously increasing their functionality by interacting with their environment and sharing multi-modal mass data among people, businesses, service providers, or OEMs within the context of the Internet of Things. While microservices features scalability and flexibility , they are especially suitable for realizing mobility services that are deployed in cloud infrastructures. However, as connected vehicle scenarios have to consider environmental conditions, such as a changing connectivity, the according cloud-based mobility services must be extensively tested at different stages of the development process to get continuous feedback on how well-designed the software architecture and the service itself is. Nevertheless , testing requires mass data from real world scenarios to ensure both the proper functionality of the service and that the architecture is robust and scales with a varying number of vehicles. This paper addresses this problem by proposing a model-driven test framework for the virtual validation of cloud-based mobility services. Therefore, different simulators will be coupled within a co-simulation environment to generate massive amounts of vehicle-specific data and simulate the environmental conditions in which vehicles operate. This allows a scenario-driven validation if a service react flexibly (scalability), reliably (robustness), and with the intended behavior to service requests from vehicles.