Evaluation of AggSessAC Admission Control Solution to Improve Network Revenue

The evaluation of a new admission control scheme that provides selective and priority-based flow admission strategy is an essential part of network revenue management in order to provide their maximization. The existing CAC schemes largely based on the serialized processing strategy of new requests, while making an acceptance or rejection decision once a new request arrives. However, present traffic volumes and computing capabilities allows us to offer a new admission control. The proposed method focuses on a new operation paradigm for admission control scheme, where requests are aggregated and processed using mutually comparisons among them, thus facilitating selectivity and network revenue maximization. We publish method architecture and realization description in modular OMNeT++ simulation environment as well as the obtained results. Finally, simulation results of proposed scheme are compared with conventional Threshold AC method, which uses available link bandwidth for decision-making process and serialized flow processing strategy. The results show that the proposed method greatly improves and extends decision-making process and allows increasing number of accepted higher priority traffic flows and, as a result, the network revenues.