CN111817971A - 一种基于深度学习的数据中心网络流量拼接方法 - Google Patents
一种基于深度学习的数据中心网络流量拼接方法 Download PDFInfo
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- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/12—Avoiding congestion; Recovering from congestion
- H04L47/125—Avoiding congestion; Recovering from congestion by balancing the load, e.g. traffic engineering
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112737891A (zh) * | 2020-12-30 | 2021-04-30 | 北京浩瀚深度信息技术股份有限公司 | 一种网络流量模拟测试方法、装置及存储介质 |
CN113365298A (zh) * | 2021-04-22 | 2021-09-07 | 山东师范大学 | 基于高阶模糊认知图的mr网络信号强度预测方法及系统 |
CN115396212A (zh) * | 2022-08-26 | 2022-11-25 | 国科华盾(北京)科技有限公司 | 检测模型的训练方法、装置、计算机设备和存储介质 |
CN116032845A (zh) * | 2023-02-13 | 2023-04-28 | 杭银消费金融股份有限公司 | 数据中心网络开销管理方法及系统 |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20180189677A1 (en) * | 2017-01-05 | 2018-07-05 | Cisco Technology, Inc. | Training a machine learning-based traffic analyzer using a prototype dataset |
CN109063777A (zh) * | 2018-08-07 | 2018-12-21 | 北京邮电大学 | 网络流量分类方法、装置及实现装置 |
CN109167680A (zh) * | 2018-08-06 | 2019-01-08 | 浙江工商大学 | 一种基于深度学习的流量分类方法 |
CN110796196A (zh) * | 2019-10-30 | 2020-02-14 | 中国科学院信息工程研究所 | 一种基于深度判别特征的网络流量分类系统及方法 |
WO2020062390A1 (zh) * | 2018-09-25 | 2020-04-02 | 深圳先进技术研究院 | 一种网络流量分类方法、系统及电子设备 |
CN111144470A (zh) * | 2019-12-20 | 2020-05-12 | 中国科学院信息工程研究所 | 一种基于深度自编码器的未知网络流量识别方法及系统 |
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2020
- 2020-06-12 CN CN202010534449.1A patent/CN111817971B/zh active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20180189677A1 (en) * | 2017-01-05 | 2018-07-05 | Cisco Technology, Inc. | Training a machine learning-based traffic analyzer using a prototype dataset |
CN109167680A (zh) * | 2018-08-06 | 2019-01-08 | 浙江工商大学 | 一种基于深度学习的流量分类方法 |
CN109063777A (zh) * | 2018-08-07 | 2018-12-21 | 北京邮电大学 | 网络流量分类方法、装置及实现装置 |
WO2020062390A1 (zh) * | 2018-09-25 | 2020-04-02 | 深圳先进技术研究院 | 一种网络流量分类方法、系统及电子设备 |
CN110796196A (zh) * | 2019-10-30 | 2020-02-14 | 中国科学院信息工程研究所 | 一种基于深度判别特征的网络流量分类系统及方法 |
CN111144470A (zh) * | 2019-12-20 | 2020-05-12 | 中国科学院信息工程研究所 | 一种基于深度自编码器的未知网络流量识别方法及系统 |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112737891A (zh) * | 2020-12-30 | 2021-04-30 | 北京浩瀚深度信息技术股份有限公司 | 一种网络流量模拟测试方法、装置及存储介质 |
CN113365298A (zh) * | 2021-04-22 | 2021-09-07 | 山东师范大学 | 基于高阶模糊认知图的mr网络信号强度预测方法及系统 |
CN115396212A (zh) * | 2022-08-26 | 2022-11-25 | 国科华盾(北京)科技有限公司 | 检测模型的训练方法、装置、计算机设备和存储介质 |
CN116032845A (zh) * | 2023-02-13 | 2023-04-28 | 杭银消费金融股份有限公司 | 数据中心网络开销管理方法及系统 |
CN116032845B (zh) * | 2023-02-13 | 2024-07-19 | 杭银消费金融股份有限公司 | 数据中心网络开销管理方法及系统 |
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Inventor after: DongFang Inventor after: Xia Mingxuan Inventor after: Wang Shiqi Inventor after: Wang Zhongyu Inventor before: DongFang Inventor before: Xia Mingxuan Inventor before: Wang Shiqi |