Simulation based evaluation of dynamic resource allocation for adaptive multimedia services

As multimedia services may consist of several media flows with varying importance to the users, it is beneficial to consider the relative flow importance while negotiating flow parameters. By regarding all service flows at once, a session can be described by creating the optimal session configuration and several alternative ones the resources of which are decreased with respect to user preferences regarding flow importance. In this way, session configuration can be switched to a less resource-demanding but previously agreed on configuration in a situation when the network resources become scarce, thus mitigating the effect of degradation on users. We present a mathematical model for optimized resource allocation for sessions with predefined configurations, which maximizes user's utility and operator's profit subject to resource constraints, while taking the priorities of users and services into account. In order to evaluate the proposed model, we develop a simulator tool named ADAPTISE that simulates arrival, duration and resource allocation of sessions and dynamically performs optimization of available resources.