A Decision Theoretic Approach to Measurement-based Admission Control

被引：0

作者：

Ko, Jungwon ^{[1
]}

Chen, Thomas M. ^{[1
]}

机构：

[1] So Methodist Univ, Dept Elect Engn, Dallas, TX 75275 USA

来源：

2006 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-12 | 2006年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a new approach to measurement-based admission control (MBAC) using real-time traffic classification. The network traffic is classified based on Bayesian decision theory. We derive the decision rules and cost functions considering utilization, packet loss rate, and rejection rate. The approach is compared by simulations against other measurement-based admission control approaches. Experiments show that the new method offers significant advantages particularly when the traffic is highly dynamic or complex.

引用

页码：742 / 747

页数：6

共 25 条

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