电信科学 ›› 2014, Vol. 30 ›› Issue (2): 123-126.doi: 10.3969/j.issn.1000-0801.2014.02.017

• 运营技术广角 • 上一篇    下一篇

一种基于支持向量机的服务质量评估方案

曹瑞彤,曹旭   

  1. 中国联合网络通信集团有限公司 北京 100033
  • 出版日期:2014-02-15 发布日期:2017-06-20

A Scheme of QoS Evaluation Based on Support Vector Machine

Ruitong Cao,Xu Cao   

  1. China United Network Communications Group Co.,Ltd.,Beijing 100033,China
  • Online:2014-02-15 Published:2017-06-20

摘要:

随着运营商网络规模的不断增大,网络上所承载的业务种类和数量都出现了飞速增长。在这种情况下,承载业务的服务质量(QoS)难以简单依靠网络管理者提供保障,带有学习能力的智能化网络管理系统将成为未来发展的主流。针对这一背景,提出了一种基于支持向量机的业务QoS评估方案,实现了带有学习能力的自适应的业务QoS评估,通过对实际样本进行分析证明了本方案的有效性。研究内容对未来智能化网管系统的发展有很强的借鉴意义。

关键词: 机器学习, 服务质量评估, 支持向量机, 智能网管系统

Abstract:

With the fast growing scale of the operator’s network,the type and amount of services on the network have emerged in rapid growth.In such a circumstance,the bearer QoS has been difficult to guarantee simply by administrator.Therefore,the intelligent network management system with learning ability will become the mainstream of future development.A QoS evaluation scheme based on support vector machine was proposed to achieve QoS evaluation with learning ability.The application of real cases demonstrates the effectiveness of this scheme.The scheme proposed will give a strong reference of the future development of intelligent network management system.

Key words: machine learning, QoS evaluation, support vector machine, intelligent network management system

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