Allocating tasks to distributed sites in Global Software Development (GSD) projects is often done unsystematically and based on the personal experi- ence of project managers. Wrong allocation decisions increase the projects risks as tasks have dependencies that are inherited by the distributed sites. Decision sup- port can help make the task allocation a more informed and systematic process. The challenges in allocating tasks to distributed sites exist because of three dis- tance dimensions between sites (geographical, temporal and cultural). An informed task allocation decision needs to consider these distances. Therefore, in this paper, we propose to integrate and semi-automate the calculation of an existing Global Distance Metric (GDM) into an architecture that supports executing cloud-based software processes. We analyze the potential of integrating the GDM into this archi- tecture and identify the needed extensions to the architecture.