Parameterized Model for Multimedia-Content Placement of the Streaming Service on 5G Cellular Networks

In the context of streaming services on 5G cellular networks of CRAN architecture with MEC servers, this article proposes a parametrized linear-programming model for efficient multimedia-content placement. The model resolution is obtained using one of these two alternatives: (i) transmission-time prioritization and (ii) data-traffic prioritization. To demonstrate the model's applicability, several streaming scenarios are evaluated, each involving different object-request patterns, server-storage capacities, and access concentrations (i.e., object's popularity). Three performance metrics are assessed in the experiments: average delay, network traffic, and hit rate. The overall results show that: (i) the first alternative should be considered when the object's popularity follows a non-uniform distribution; and (ii) the second alternative is recommended when the object's popularity tends to be evenly distributed. As its main contribution, this research thus offers relevant subsidies for streaming projects in 5G cellular networks.