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公开(公告)号：US11159432B2
公开(公告)日：2021-10-26
申请号：US15879452
申请日：2018-01-25
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Zhitang Chen , Fred Chi Hang Fung , Yanhui Geng
IPC: H04L12/851 , H04L12/753 , H04L12/931 , H04L12/751 , H04L12/715 , H04L12/803 , H04L12/24
Abstract: A network data transmission method is provided. A switch device receives one or more data flows, classifies each of the received data flows into one of two classes according to data features of the data flow by using a decision tree model established by a flow table pipeline of the switch device. If a data flow belongs to a first class, the switch device reports the data flow to a controller, so that the controller computes a transmission path for the data flow. If a data flow belongs to a second class, the switch device obtains a transmission path for the data flow according to local flow table information, and transmits the data flow according to the obtained transmission path. Data flows are classified and filtered by using a switch, so as to improve network transmission efficiency while ensuring bearing capability of a network control system.
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公开(公告)号：US11108619B2
公开(公告)日：2021-08-31
申请号：US16514261
申请日：2019-07-17
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Zhitang Chen , Qibin Wu , Yanhui Geng
IPC: H04L12/24
Abstract: Embodiments of this application provide a service survivability analysis method and apparatus, and relate to the field of communications technologies, so as to shorten duration of service survivability analysis and improve efficiency of the service survivability analysis. The method includes: obtaining a link fault record and network topology information that are in a preset time period; determining a similarity between any two links in all faulty links based on fault occurrence time and fault removal time of the any two links in the link fault record and connection information of network devices on the any two links, to obtain a link similarity matrix; performing clustering on all the faulty links based on the link similarity matrix, to obtain at least one link cluster; and performing survivability analysis on services on at least two preset links based on each of the at least one link cluster.
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公开(公告)号：US10567299B2
公开(公告)日：2020-02-18
申请号：US16127649
申请日：2018-09-11
Applicant: HUAWEI TECHNOLOGIES CO.,LTD.
Inventor： Zhitang Chen , Yanhui Geng , Hong Zhang , Kai Chen
IPC: H04L29/06 , H04L12/891 , G06F16/00 , G06N7/00 , G06N20/00 , H04L12/851 , H04L12/927
Abstract: A coflow identification method includes: obtaining a weighted matrix by means of learning according to historical data in the network, where the weighted matrix is used to minimize a feature distance between data streams belonging to a same coflow and maximize a feature distance between data streams belonging to different coflows; computing a feature distance between any two data streams in the network according to metrics in the data stream layer data feature, the application layer data stream feature distance, the terminal aspect data feature distance, and the weighted matrix; and dividing the data streams in the network into several cluster sets by using a clustering algorithm and according to the feature distance between the any two data streams in the network, where each of the several cluster sets is a coflow.
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公开(公告)号：US20180232918A1
公开(公告)日：2018-08-16
申请号：US15952994
申请日：2018-04-13
Applicant: Huawei Technologies Co., Ltd.
Inventor： Bing Ni , Yanhui Geng , Wenchao Wu
CPC classification number: G06T11/206 , G06F16/00 , G06F16/26 , G06F16/29 , G06T11/60
Abstract: A data visualization method and apparatus, where the method includes displaying a first density distribution diagram on a first map, where the first density distribution diagram represents density distribution, in a region, of source locations of flow events whose destinations are located in a target reference region, and displaying a second density distribution diagram on a second map, where the second density distribution diagram represents density distribution, in a region, of destinations of flow events whose source locations are located in the target reference region. Hence, bidirectional density distribution associated with each other using the target reference region are displayed on two maps in a linked manner, thereby implementing visualization of bidirectional density distribution data.
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公开(公告)号：US10999175B2
公开(公告)日：2021-05-04
申请号：US16362135
申请日：2019-03-22
Applicant: Huawei Technologies Co., Ltd.
Inventor： Zhitang Chen , Yanhui Geng , Georgios Trimponias
IPC: H04L12/26 , H04L12/24 , H04L12/851 , H04L29/08 , G06K9/62
Abstract: A network data flow classification method related to artificial intelligence includes collecting an information set, including a plurality of pieces of dimension information, of a to-be-processed data flow, establishing a static behavior model and a dynamic behavior model of each piece of dimension information in the information set, where the static behavior model represents a value selection rule of the dimension information, and the dynamic behavior model represents a correlation relationship of the dimension information between two adjacent time moments, obtaining, using the static behavior model and the dynamic behavior model respectively, a static model distance and a dynamic model distance between the to-be-processed data flow and a data flow of each target application type, determining an application type of the to-be-processed data flow based on the static model distance and the dynamic model distance.
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Patent Agency Ranking
公开(公告)号：US20190222499A1
公开(公告)日：2019-07-18
申请号：US16362135
申请日：2019-03-22
Applicant: Huawei Technologies Co., Ltd.
Inventor： Zhitang Chen , Yanhui Geng , Trimponias Georgios
IPC: H04L12/26
CPC classification number: H04L43/0888 , G06K9/62 , H04L29/08
Abstract: A network data flow classification method related to artificial intelligence includes collecting an information set, including a plurality of pieces of dimension information, of a to-be-processed data flow, establishing a static behavior model and a dynamic behavior model of each piece of dimension information in the information set, where the static behavior model represents a value selection rule of the dimension information, and the dynamic behavior model represents a correlation relationship of the dimension information between two adjacent time moments, obtaining, using the static behavior model and the dynamic behavior model respectively, a static model distance and a dynamic model distance between the to-be-processed data flow and a data flow of each target application type, determining an application type of the to-be-processed data flow based on the static model distance and the dynamic model distance.
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公开(公告)号：US11385602B2
公开(公告)日：2022-07-12
申请号：US15880696
申请日：2018-01-26
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Zhitang Chen , Baofeng Zhang , Yanhui Geng
Abstract: A system control method includes receiving a control task and randomly selecting a chromosome from an evolution pool according to the control task. The selected chromosome is decoded to obtain (N+1) ensemble policies, where the chromosome includes (N+1) gene fragments, and where N is a positive integer greater than or equal to 1. Each gene fragment can uniquely correspond to an ensemble policy, and each ensemble policy can uniquely correspond to a preset function. One ensemble policy is used for assigning a weight to a preset function that uniquely corresponds to the ensemble policy. The evolution pool can maintain two or more chromosomes. An ensemble calculation is performed according to weights assigned by the (N+1) ensemble policies to obtain an ensemble control output. A control signal is generated according to the ensemble control output, where the control signal is used for performing system control.
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公开(公告)号：US10909734B2
公开(公告)日：2021-02-02
申请号：US15952994
申请日：2018-04-13
Applicant: Huawei Technologies Co., Ltd.
Inventor： Bing Ni , Yanhui Geng , Wenchao Wu
Abstract: A data visualization method and apparatus, where the method includes displaying a first density distribution diagram on a first map, where the first density distribution diagram represents density distribution, in a region, of source locations of flow events whose destinations are located in a target reference region, and displaying a second density distribution diagram on a second map, where the second density distribution diagram represents density distribution, in a region, of destinations of flow events whose source locations are located in the target reference region. Hence, bidirectional density distribution associated with each other using the target reference region are displayed on two maps in a linked manner, thereby implementing visualization of bidirectional density distribution data.
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公开(公告)号：US10749757B2
公开(公告)日：2020-08-18
申请号：US15903051
申请日：2018-02-23
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Yanhui Geng , Zhitang Chen , Baofeng Zhang
Abstract: A method for use by a network controller is provided. The controller collects network status data of a current moment, and estimates network status information of the current moment according to the network status data of the current moment. The controller predicts network status information of a next moment according to the network status information of the current moment. The controller receives and preprocessing a dataflow entering the network at the current moment, to obtain a preprocessing result of the dataflow. The controller generates a control action by using a network control policy of the current moment and according to the network status information of the current moment, the predicted network status information of the next moment, and the preprocessing result of the dataflow. The controller obtains feedback information of the network resulted from the control action, and generates a network control policy of the next moment.
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公开(公告)号：US20180183683A1
公开(公告)日：2018-06-28
申请号：US15903051
申请日：2018-02-23
Applicant: HUAWEI TECHNOLOGIES CO.,LTD.
Inventor： Yanhui Geng , Zhitang Chen , Baofeng Zhang
CPC classification number: H04L41/147 , H04L41/0816 , H04L41/0823 , H04L41/0893 , H04L43/065 , H04L43/0876
Abstract: A method for use by a network controller is provided. The controller collects network status data of a current moment, and estimates network status information of the current moment according to the network status data of the current moment. The controller predicts network status information of a next moment according to the network status information of the current moment. The controller receives and preprocessing a dataflow entering the network at the current moment, to obtain a preprocessing result of the dataflow. The controller generates a control action by using a network control policy of the current moment and according to the network status information of the current moment, the predicted network status information of the next moment, and the preprocessing result of the dataflow. The controller obtains feedback information of the network resulted from the control action, and generates a network control policy of the next moment.
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