From Self-Regulate to Admission Control in Real-Time Traffic Environment

Network Utility Maximization (NUM) has been studied extensively to improve network quality of service (QoS) and to overcome network congestion. However, even with congestion resolved, network is not always able to meet user\´s minimum demand for QoS. To address this issue, this paper proposes a new "self-regulate" model that considers user tolerance for poor QoS and the price user is willing to pay. In addition, we demonstrate that user "self- regulate" model may not lead to convergence as today\´s Internet user landscape changes constantly and quickly. This leads to our proposal for an admission control algorithm which considers network revenue, user tolerance, and user utility.