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1.中国电信集团政企信息服务事业群,北京 100010
2.美国加州大学戴维斯分校,美国 加利福尼亚州 95616
[ "马蕴颖(1973- ),女,中国电信集团政企信息服务事业群高级工程师,主要研究方向为互联网、IDC、网络运营。" ]
[ "王晟寰(2001- ),男,美国加州大学戴维斯分校在读,主要研究方向为计算机网络的发展和流量疏导解决方案。" ]
收稿日期:2024-02-27,
修回日期:2024-07-01,
纸质出版日期:2024-07-20
移动端阅览
马蕴颖,王晟寰.基于流量大数据采集分析的互联网流量疏导策略研究与实践[J].电信科学,2024,40(07):144-153.
MA Yunying,WANG Shenghuan.Research and practice of Internet traffic regulating strategy based on big data acquisition and analysis of flow[J].Telecommunications Science,2024,40(07):144-153.
马蕴颖,王晟寰.基于流量大数据采集分析的互联网流量疏导策略研究与实践[J].电信科学,2024,40(07):144-153. DOI: 10.11959/j.issn.1000-0801.2024177.
MA Yunying,WANG Shenghuan.Research and practice of Internet traffic regulating strategy based on big data acquisition and analysis of flow[J].Telecommunications Science,2024,40(07):144-153. DOI: 10.11959/j.issn.1000-0801.2024177.
随着我国数字经济的发展,互联网流量呈现稳步增长态势。针对互联网流量分布不均,将影响网络长期稳定发展的问题,论述了互联网流量获取、识别的方法,构建了实现流量采集的网络架构,以及完成流量分析的软件架构,提出了调节疏导互联网流量的可行性市场化策略。该策略经过运营商的实践,已经取得了初步效果,为引导互联网流量合理分布提供了解决思路和参考依据。
With the development of China’s digital economy
Internet traffic has shown a steady growth trend. In view of the problem that the uneven distribution of Internet traffic will affect the long-term stable development of the network
the methods of Internet traffic acquisition and identification were discussed. The network architecture for traffic collection
and the software architecture for traffic analysis were constructed. A feasible market-oriented strategy for regulating and channeling Internet traffic was proposed. The propoced strategy has achieved preliminary results through the practice of operators
and it provides a solution and reference basis to guide the distribution of Internet traffic in a proper way.
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China Internet Network Information Center . The 52nd statistical report on China’s internet development [R ] . 2023 .
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马蕴颖 , 梁汗臣 . 互联网流量分布趋势研究 [J ] . 通信世界 , 2022 ( 12 ): 36 - 39 .
MA Y Y , LIANG H C . Research on Internet traffic distribution trend [J ] . Communications World , 2022 ( 12 ): 36 - 39 .
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马蕴颖 , 王晟寰 . 互联网流量分布计算模型研究与实践 [J ] . 通信世界 , 2023 ( 18 ): 39 - 42 .
MA Y Y , WANG S H . Research and practice on calculation model of Internet traffic distribution [J ] . Communications World , 2023 ( 18 ): 39 - 42 .
郭亮 , 杨裔 , 秦炳峰 , 等 . 基于大数据技术的甘肃智慧旅游系统 [J ] . 大数据 , 2024 , 10 ( 1 ): 157 - 169 .
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马蕴颖 , 王晟寰 . 互联网流量中PCDN业务识别模型算法研究及政策思考 [J ] . 广东通信技术 , 2024 ( 2 ): 56 - 60 .
MA Y Y , WANG S H . Research on algorithm of PCDN service identification model in Internet traffic and policy consideration [J ] . Guangdong Communication Technology , 2024 ( 2 ): 56 - 60 .
李国杰 . 大数据与计算模型 [J ] . 大数据 , 2024 , 10 ( 1 ): 9 - 16 .
LI G J . Big data and computing models [J ] . Big Data Research , 2024 , 10 ( 1 ): 9 - 16 .
邵杭青 , 马蕴颖 , 梁汉臣 . 算力调度关键要素及路径分析 [J ] . 江苏通信技术 , 2022 ( 6 ): 76 - 80 .
SHAO H Q , MA Y Y , LIANG H C . Key elements and path analysis of computing power scheduling [J ] . Jiangsu Communication Technology , 2022 ( 6 ): 76 - 80 .
孙玉娣 . 基于电信大数据的5G网络海量用户复访行为预测模型 [J ] . 电信科学 , 2023 , 39 ( 2 ): 157 - 162 .
SUN Y D . A prediction model of massive 5G network users’ revisit behavior based on telecom big data [J ] . Telecommunications Science , 2023 , 39 ( 2 ): 157 - 162 .
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