Research on SDN/NFV Network Traffic Management and Optimization based on Big Data and Artificial Intelligence

被引：0
作者：
Guo, Aipeng [1 ,2 ]
Yuan, Chunhui [1 ]
He, Gang [2 ]
Xu, Lexi [2 ]
机构：
[1] Beijing Univ Posts & Telecommun, Sch Econ & Management, Beijing, Peoples R China
[2] China United Network Telecommun Corp, Network Teclmol Res Inst, Beijing, Peoples R China
来源：
2018 18TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES (ISCIT) | 2018年
关键词：
Network traffic management and optimization; big data; artificial intelligence; SDN/NFV;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The use of big data, artificial intelligence technology in software-defined network (SDN) and network function virtualization (NFV) to achieve intelligent network traffic management and optimization is of great significance for telecom operators. This paper analyzes the requirements and scenarios of big data and artificial intelligence in SDN/NFV networks. Then, this paper proposes a framework for network intelligent traffic management and optimization, and analyzes network congestion prevention and control as well as network-wide path optimization cases. The research methods and solutions are proposed for the network-wide path optimization case. Finally, the experiment verifies the superiority of our algorithm system.
引用
收藏
页码：377 / 382
页数：6
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