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[ "黄凤(1984-),女,国网智能电网研究院工程师,主要研究方向为电力信息及信息通信技术。" ]
[ "王瑶(1986-),女,国网智能电网研究院工程师,主要研究方向为电力通信及信息通信技术。" ]
[ "黄莉(1986-),女,国网智能电网研究院工程师,主要研究方向为电力信息及信息通信技术。" ]
[ "姚继明(1986-),男,国网智能电网研究院工程师,主要研究方向为电力通信技术。" ]
[ "刘世栋(1971-),男,国网智能电网研究院高级工程师,主要研究方向为电力通信技术。" ]
网络出版日期:2015-12-20,
纸质出版日期:2015-12-20
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黄凤, 王瑶, 黄莉, 等. 基于多层级联算法的网络业务流量识别技术[J]. 电信科学, 2015,31(Z1):249-253.
Feng HUANG, Yao WANG, Li HUANG, et al. Traffic identification of network business based on multi-layer cascade algorithm[J]. Telecommunications science, 2015, 31(Z1): 249-253.
黄凤, 王瑶, 黄莉, 等. 基于多层级联算法的网络业务流量识别技术[J]. 电信科学, 2015,31(Z1):249-253. DOI: 10.11959/j.issn.1000-0801.2015399.
Feng HUANG, Yao WANG, Li HUANG, et al. Traffic identification of network business based on multi-layer cascade algorithm[J]. Telecommunications science, 2015, 31(Z1): 249-253. DOI: 10.11959/j.issn.1000-0801.2015399.
摘要:当前网络的主要问题是流量需求和网络带宽之间的矛盾,流量管理是有效的解决方案之一,同时能提升网络的服务质量,而网络业务流量识别是进行流量精细化管理的基础。在研究网络业务流量识别和机器学习技术的基础上,提出基于多层级联机器学习算法的网络业务流量识别方法,该方法能适应网络业务流量复杂多变的情况,并且平衡了机器学习算法在时间性能和识别准确率之间的矛盾,进一步地,该方法在级联算法上考虑了代价不均衡问题,更为关注重要业务的识别,有助于提升用户体验。
The contradiction between traffic demand and network bandwidth is the main problem of the current network.Traffic management is one of the effective solutions
at the same time it can improve the quality of service of the network
and network traffic identification is the basis of fine traffic management.The traffic identification method of network business based on multi-layer cascade algorithm was proposed
after the research of network traffic identification and machine learning techniques.This method can adapt to the situation of the complex network traffic flow
and can balance the contradiction between the time performance and the accuracy of the machine learning algorithm.Furthermore the cascade algorithm of this method takes the cost imbalance into account
and takes more attention to the identification of important business
so it can help enhance user experience.
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