Context. Cloud scaling policies are used to automatically adapt the availability of cloud resources in dynamically changing environments. Problem. In our research, we did not find any graphical editors for cloud scaling policies that allow a good visualization of the data obtained in a simulation of the policy directly in the editor. Objective. This thesis tries to find a new and improved workflow which integrates this visualization of simulation output data directly into the editor. Method. To achieve this, we tried to find inspirations through a literature research on existing graphical representations of simulation output data as well as existing theoretical approaches to this topic. With these inspirations we thought up different ways the data can be represented and created a prototype with which we conducted a user study with experts on the understandability of these representations in order to get feedback for further improving the workflow. Result. The results of this thesis is a concept for a new workflow which provides the ability to get graphs containing data on certain elements by clicking on these elements and a color change of elements for which anomalies have been detected as well as a prototype implementing some of these concepts. In our user study, the new workflow was generally received positively, but with still some big improvement wishes left. The most common requests were to add a possibility to dynamically add and remove different data series on the different elements for any graph in order to easier see connections in the data and to make different data series in the graphs better distinguishable. Conclusion. The general concept lays a good foundation to build an editor with a useful integration of data gained from simulations. We have collected some important improvement ideas from the study which should to be implemented in the future.