Network researchers rely on a wide variety of experimentation platforms, ranging from simulators to emulators and live testbeds, to validate new ideas. Many experiment management frameworks have been created to ease up the complexity and time cost of deploying experiments on different platforms. However, providing flexible deployment capabilities for arbitrary platforms remains a challenging problem. In this work we propose an experiment controller architecture based on event scheduling, designed to enable flexible experiment deployment on diverse platforms. This architecture is capable of handling arbitrary deployment dependencies , both imposed by user requirements and by platform restrictions. It additionally enables flexible resource provi-sioning, at any point in time during experiment execution, and flexible experiment monitoring events.