Title :
From Self-Regulate to Admission Control in Real-Time Traffic Environment
Author_Institution :
Dept. of Comput. Sci., Univ. of Massachusetts at Lowell, Lowell, MA, USA
Abstract :
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.
Keywords :
Internet; multi-access systems; optimisation; quality of service; telecommunication congestion control; telecommunication traffic; Internet user; NUM; QoS; admission control algorithm; network congestion; network revenue; network utility maximization; price user; quality of service; real-tme traffic environment; self-regulate model; user tolerance; user utility; Admission control; Bandwidth; Channel allocation; DH-HEMTs; Discharges (electric); Heuristic algorithms; Congestion control; network utility optimization; real time network;
Conference_Titel :
Advanced Information Networking and Applications (AINA), 2014 IEEE 28th International Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
978-1-4799-3629-8
DOI :
10.1109/AINA.2014.158
