This paper analyzes different resource management strategies for SDR base stations implemented as SDR clouds. SDR clouds describe distributed antennas that connect to a data center for digital signal processing. The data center employs cloud computing technology, providing a virtualized computing resource pool. The service area of a single SDR cloud may be a medium sized metropolitan area with a high user density. Hence, the data center will execute thousands of SDR applications—waveforms associated to different radio cells—in parallel. Whenever a user initiates or terminates a wireless communications session, computing resources need to be allocated or deallocated in real time. We therefore propose a hierarchical resource management approach and present simulation results that demonstrate its feasibility