Fog computing is an emerging system architecture in the cloud and Internet of Everything realm. It aims to distribute computing, storage, and control closer to the user. In the last few years work in this field has gained traction. Publications and research projects are increasing and just recently work on an open standard has been started. The research community and industry are proposing new approaches, algorithms, and system-architectures on a very fast pace. However, it remains difficult to evaluate and test these proposals. Particularly, because real-world testbeds are expensive and hard to set up. This work is continuing the development of the open source project EmuFog. EmuFog is an extensible and scalable emulation framework for fog computing infrastructures. It supports researchers, system-architects and developers by providing a framework to test application behavior in fog architectures. Furthermore, evaluation of algorithms for edge identification, fog node, and application placement can be carried out on large systems. This work extends the previous system architecture to enable multi-tiered fog nodes. That is, the ability to run multiple applications on a single fog node instance. Furthermore, usage of custom placement algorithms is simplified. Additionally, groundwork for resource management was introduced to the system architecture.