Context: Organizations increasingly develop software in a distributed manner. The Cloud provides an environment to create and maintain software-based products and services. Currently, it is unknown which software processes are suited for Cloud-based development and what their e↵ects in specific contexts are. Objective: We aim at better understanding the software process applied to distributed software development using the Cloud as development environment. We further aim at providing an instrument, which helps project managers comparing di↵erent solution approaches and to adapt team processes to improve future project activities and outcomes. Method: We provide a simulation model, which helps analyzing di↵erent project parameters and their impact on projects performed in the Cloud. To evaluate the simulation model, we conduct di↵erent analyses using a Scrumban process and data from a project executed in Finland and Spain. An extra adaptation of the simulation model for Scrum and Kanban was used to evaluate the suitability of the simulation model to cover further process models. Results: A comparison of the real project data with the results obtained from the di↵erent simulation runs shows the simulation producing results close to the real data, and we could successfully replicate a distributed software project. Furthermore, we could show that the simulation model is suitable to address further process models. Conclusion: The simulator helps reproducing activities, developers, and events in the project, and it helps analyzing potential tradeo↵s, e.g., regarding throughput, total time, project size, team size and work-inprogress limits. Furthermore, the simulation model supports project managers selecting the most suitable planning alternative thus supporting decision-making processes.