Design of an emulation framework for evaluating large-scale open content aware networks

The popularity of multimedia services has resulted in new revenue opportunities for network and service providers but has also introduced important new challenges. The large amount of resources and stringent quality requirements imposed by multimedia services has triggered the need for open content aware networks, where specific management algorithms that optimize the delivery of multimedia services can be dynamically plugged in when required. In the past, a plethora of algorithms have been proposed ranging from specific cache algorithms to video client heuristics that are optimized for a specific multimedia service type and its corresponding delivery. However, it remains difficult to accurately characterize the performance of these algorithms and investigate the impact of an actual deployment in multimedia services. In this paper, we present a framework that allows evaluating the performance of such algorithms for open content aware networks. The proposed evaluation framework has two important advantages. First, it performs an emulation of the novel algorithms instead of using a simulation approach, which is often carried out to characterize performance. Second, the emulation framework allows evaluating the impact of combining different multimedia algorithms with each other. We present the architecture of the emulation framework and discuss the main software components used. Furthermore, we present a performance evaluation of an illustrative use case, which identifies the need for emulation-based evaluation.