Predicted sum: A robust measurement-based admission control with online traffic prediction

被引：7
|
作者：
Egyhazy, Matyas W. [1 ]
Liang, Yao
机构：
[1] Virginia Polytech Inst & State Univ, Dept Comp Sci, Falls Church, VA USA
[2] Virginia Polytech Inst & State Univ, Dept Elect & Comp Engn, Arlington, VA USA
来源：
IEEE COMMUNICATIONS LETTERS | 2007年 / 11卷 / 02期
关键词：
admission control; multimedia networking; network traffic prediction; robustness; quality-of-service;
D O I：
10.1109/LCOMM.2007.061127
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
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.
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页码：204 / 206
页数：3
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