Design of an Emulation Framework for Evaluating Large-Scale Open Content Aware Networks

In this paper, we present a framework that allows evaluating the performance of novel multimedia algorithms and tries to present additional confidence in the performance evaluation of such algorithms in two ways. First, the framework performs an emulation of the novel algorithms instead of a simulation approach, which is traditionally performed. 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. (Note: First author is not from ALU)