一种新的基于支持向量机的QoS评价方案

Jingyao Wang, Heli Liu, Mei Song
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引用次数: 1

摘要

服务质量(QoS)是网络的一个重要因素;因此,保证网络中的QoS对网络的性能是非常重要的。然而,对于QoS的准确评价,目前还缺乏研究。本文运用计算学习理论对这一问题进行了研究,提出了QoS评价模型。然后提出了基于支持向量机(SVM)的QoS评价方案。仿真结果表明,该方案更有效,提高了QoS评价的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel QoS evaluation scheme based on support vector machine
The quality of service (QoS) is an important factor for networks; guarantee the QoS in network is then very important for the network performance. Anyway, the research on the accurately evaluation on QoS is still lacked. In this paper, we employ the computational learning theory to study this problem and present the QoS evaluation model. Then the QoS evaluation scheme base on support vector machine (SVM) is proposed. Simulation results show that our propose scheme is more effective and improve the performance of the QoS evaluation.
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