Title :
Predicted Sum: A Robust Measurement-Based Admission Control with Online Traffic Prediction
Author :
Egyhazy, Matyas W. ; Liang, Yao
Author_Institution :
Dept. of Comput. Sci., Virginia Polytech. Inst. & State Univ., Falls Church, VA
Abstract :
We present a new measurement-based admission control (MBAC) scheme with online traffic prediction, referred to as predicted sum (PS). A simple adaptive online traffic predictor based on normalized least mean squares (NLMS) algorithm is employed. Our scheme has two unique merits: (1) robustness to traffic characteristics and network environment, and (2) easy and accurate control for the provisioning of network utilization and quality-of-service. The simulation results demonstrate its significant performance enhancement over the well-known MBAC measured sum (MS) scheme
Keywords :
least mean squares methods; quality of service; telecommunication congestion control; telecommunication traffic; MBAC scheme; NLMS algorithm; measurement-based admission control; normalized least mean squares; online traffic prediction; quality-of-service; Admission control; Communication system traffic control; Error correction; Least squares approximation; Quality of service; Robust control; Robustness; Telecommunication traffic; Testing; Traffic control;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2007.061127
