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1. 发明申请

US20190171367A1 DATA PROCESSING METHOD AND APPARATUS 审中-公开
公开(公告)号：US20190171367A1
公开(公告)日：2019-06-06
申请号：US16259138
申请日：2019-01-28
申请人： HUAWEI TECHNOLOGIES CO.,LTD.
发明人： Cheng He , Qun Huang , Pak-Ching Lee
IPC分类号： G06F3/06
摘要： In a data processing method, a worker node in a distributed data processing system receives first data from an upstream worker node. The first data has been stored in a buffer of the upstream worker node. The worker node sends a first portion of the first data to a persistent storage device of the distributed data processing system for persistent backup, and performs computational processing on the first data to generate second data. Prior to completing performing computational processing on the first data, the worker node sends acknowledgement information to the upstream worker node to instruct the upstream node to delete the first data from the buffer of the upstream worker node. The worker node then sends the second data to a downstream worker node in the distributed data processing system for further processing by the downstream worker node.

2. 发明授权

US10296827B2 Data category identification method and apparatus based on deep neural network 有权
公开(公告)号：US10296827B2
公开(公告)日：2019-05-21
申请号：US14944294
申请日：2015-11-18
申请人： Huawei Technologies Co., Ltd.
发明人： Guangjian Tian , Cheng He , Wei Fan
IPC分类号： G06N3/08 , G06N3/06
摘要： A deep neural network to which data category information is added is established locally, to-be-identified data is input to an input layer of the deep neural network generated based on the foregoing data category information, and information of a category to which the to-be-identified data belongs is acquired, where the information of the category is output by an output layer of the deep neural network. A deep neural network is established based on data category information, such that category information of to-be-identified data is conveniently and rapidly obtained using the deep neural network, thereby implementing a category identification function of the deep neural network, and facilitating discovery of an underlying law of the to-be-identified data according to the category information of the to-be-identified data.

3. 发明申请

US20170250705A1 METHOD AND DEVICE FOR COMPRESSING FLOW DATA 有权
公开(公告)号：US20170250705A1
公开(公告)日：2017-08-31
申请号：US15597963
申请日：2017-05-17
申请人： HUAWEI TECHNOLOGIES CO.,LTD.
发明人： Zhenguo Li , Ge Luo , Ke Yi , Wei Fan , Cheng He
IPC分类号： H03M7/30
CPC分类号： H03M7/30 , H03M7/3064
摘要： A method for compressing flow data, including: constructing multiple line segments according to flow data and a predefined maximum error that are acquired; obtaining a target piecewise linear function according to the multiple line segments, where the target piecewise linear function includes multiple linear functions, and an intersection set of value ranges of independent variables of every two linear functions among the multiple linear functions includes a maximum of one value; and outputting a reference data point according to the target piecewise linear function, where the reference data point includes a point of continuity and a point of discontinuity of the target piecewise linear function. In this way, a maximum error, a target piecewise linear function is further determined according to the multiple line segments, and a point of continuity and a point of discontinuity of the target piecewise linear function are used to represent compressed flow data.

4. 发明申请

US20160373494A1 Data Processing Method in Stream Computing System, Control Node, and Stream Computing System 审中-公开
标题翻译：流计算系统，控制节点和流计算系统中的数据处理方法
公开(公告)号：US20160373494A1
公开(公告)日：2016-12-22
申请号：US15257722
申请日：2016-09-06
申请人： Huawei Technologies Co., Ltd.
发明人： Yunlong Shi , Mingzhen Xia , Cheng He
IPC分类号： H04L29/06 , H04L12/911 , H04L12/26
CPC分类号： H04L65/4015 , G06F9/5083 , H04L43/045 , H04L47/828
摘要： A stream computer system and a method for processing a data stream in a stream computing system are disclosed. In an embodiment, the method includes collecting data traffic information between each working node and other working nodes and processing speed information for each working node, determining an optimized parallelism degree for each working node according to the collected data traffic information and processing speed information and adjusting a parallelism degree of the working node according to the optimized parallelism degree of the working node.
摘要翻译：公开了一种流计算机系统和用于在流计算系统中处理数据流的方法。在一个实施例中，该方法包括：在每个工作节点和其他工作节点之间收集数据业务信息，并为每个工作节点处理速度信息，根据收集的数据业务信息和处理速度信息确定每个工作节点的优化并行度，并调整根据工作节点的优化并行度，工作节点的并行度。

5. 发明申请

US20160071010A1 Data Category Identification Method and Apparatus Based on Deep Neural Network 审中-公开
标题翻译：基于深层神经网络的数据类别识别方法与装置
公开(公告)号：US20160071010A1
公开(公告)日：2016-03-10
申请号：US14944294
申请日：2015-11-18
申请人： Huawei Technologies Co., Ltd.
发明人： Guangjian Tian , Cheng He , Wei Fan
IPC分类号： G06N3/08 , G06N3/06
CPC分类号： G06N3/08 , G06N3/06
摘要： A deep neural network to which data category information is added is established locally, to-be-identified data is input to an input layer of the deep neural network generated based on the foregoing data category information, and information of a category to which the to-be-identified data belongs is acquired, where the information of the category is output by an output layer of the deep neural network. A deep neural network is established based on data category information, such that category information of to-be-identified data is conveniently and rapidly obtained using the deep neural network, thereby implementing a category identification function of the deep neural network, and facilitating discovery of an underlying law of the to-be-identified data according to the category information of the to-be-identified data.
摘要翻译：本地建立了一种加入了数据类别信息的深层神经网络，将被识别的数据输入到基于上述数据类别信息生成的深层神经网络的输入层，以及类别信息获取属性的被识别数据，其中类别的信息由深层神经网络的输出层输出。基于数据类别信息建立深层神经网络，使用深层神经网络方便迅速地获得待识别数据的类别信息，从而实现深层神经网络的类别识别功能，促进发现根据待识别数据的类别信息的待识别数据的基本定律。

6. 发明授权

US08774053B2 Method, network element device, and network system for associating a terminal device with a network 有权
标题翻译：用于将终端设备与网络相关联的方法，网元设备和网络系统
公开(公告)号：US08774053B2
公开(公告)日：2014-07-08
申请号：US13629200
申请日：2012-09-27
申请人： Huawei Technologies Co., Ltd.
发明人： Lujia Pan , Cheng He
IPC分类号： H04L12/28
CPC分类号： H04W60/00 , H04L67/12 , H04W4/38 , H04W84/18
摘要： Embodiments of the present invention provide a method, network element device, and network system for associating a terminal device with a network. The method for associating a terminal device with a network includes: receiving an Association Request message sent by a terminal device, where the Association Request message includes information of a request for associating the terminal device with a sensor network and an IP identifier; processing, according to the Association Request message, the request for associating the terminal device with a sensor network; when it is determined, according to the IP identifier, that the terminal device requests association with an IP network, sending an IP network Association Request message to an Edge Router; receiving a result of processing, by the Edge Router, the request for associating the terminal device with the IP network; sending an Association Respond message to the terminal device.
摘要翻译：本发明的实施例提供了一种用于将终端设备与网络相关联的方法，网元设备和网络系统。用于将终端设备与网络相关联的方法包括：接收由终端设备发送的关联请求消息，其中所述关联请求消息包括关于终端设备与传感器网络关联的请求和IP标识符的信息; 根据关联请求消息处理将终端设备与传感器网络相关联的请求; 当根据IP标识确定终端设备请求与IP网络的关联时，向边缘路由器发送IP网络关联请求消息; 接收由边缘路由器处理终端设备与IP网络关联的请求的结果; 向终端设备发送关联响应消息。

7. 发明授权

US10630737B2 Data processing method in stream computing system, control node, and stream computing system 有权
公开(公告)号：US10630737B2
公开(公告)日：2020-04-21
申请号：US16112236
申请日：2018-08-24
申请人： HUAWEI TECHNOLOGIES CO., LTD.
发明人： Yunlong Shi , Mingzhen Xia , Cheng He
IPC分类号： H04L29/06 , G06F9/50 , H04L12/26 , H04L12/911
CPC分类号： H04L65/4015 , G06F9/5083 , H04L43/045 , H04L47/828
摘要： A stream computer system and a method for processing a data stream in a stream computing system are disclosed. The method includes a first working node invokes at least one execution unit to process a data stream according to an initial parallelism degree, a control node collects information reflecting data traffic between the first working node and a second working node, and information reflecting data processing speed of the first working node, determines an optimized parallelism degree for the first working node according to the collected information, and adjusts the parallelism degree of the first working node to be consistent with the optimized parallelism degree.

8. 发明授权

US09768801B1 Method and device for compressing flow data 有权
公开(公告)号：US09768801B1
公开(公告)日：2017-09-19
申请号：US15597963
申请日：2017-05-17
申请人： HUAWEI TECHNOLOGIES CO., LTD.
发明人： Zhenguo Li , Ge Luo , Ke Yi , Wei Fan , Cheng He
IPC分类号： H03M7/30
CPC分类号： H03M7/30 , H03M7/3064
摘要： A method for compressing flow data, including: constructing multiple line segments according to flow data and a predefined maximum error that are acquired; obtaining a target piecewise linear function according to the multiple line segments, where the target piecewise linear function includes multiple linear functions, and an intersection set of value ranges of independent variables of every two linear functions among the multiple linear functions includes a maximum of one value; and outputting a reference data point according to the target piecewise linear function, where the reference data point includes a point of continuity and a point of discontinuity of the target piecewise linear function. In this way, a maximum error, a target piecewise linear function is further determined according to the multiple line segments, and a point of continuity and a point of discontinuity of the target piecewise linear function are used to represent compressed flow data.

9. 发明授权

US10218381B2 Method and device for compressing flow data 有权
公开(公告)号：US10218381B2
公开(公告)日：2019-02-26
申请号：US15697066
申请日：2017-09-06
申请人： HUAWEI TECHNOLOGIES CO., LTD.
发明人： Zhenguo Li , Ge Luo , Ke Yi , Wei Fan , Cheng He
IPC分类号： H03M7/30
摘要： A method for compressing flow data, including: generating multiple line segments according to flow data and a predefined maximum error that are acquired; obtaining a target piecewise linear function according to the multiple line segments, where the target piecewise linear function includes multiple linear functions, and an intersection set of value ranges of independent variables of every two linear functions among the multiple linear functions includes a maximum of one value; and outputting a reference data point according to the target piecewise linear function, where the reference data point includes a point of continuity and a point of discontinuity of the target piecewise linear function. In this way, a maximum error, a target piecewise linear function is further determined according to the multiple line segments, and a point of continuity and a point of discontinuity of the target piecewise linear function are used to represent compressed flow data.

10. 发明申请

US20180367584A1 DATA PROCESSING METHOD IN STREAM COMPUTING SYSTEM, CONTROL NODE, AND STREAM COMPUTING SYSTEM 审中-公开
公开(公告)号：US20180367584A1
公开(公告)日：2018-12-20
申请号：US16112236
申请日：2018-08-24
申请人： HUAWEI TECHNOLOGIES CO.,LTD.
发明人： Yunlong Shi , Mingzhen Xia , Cheng He
IPC分类号： H04L29/06 , G06F9/50 , H04L12/911 , H04L12/26
摘要： A stream computer system and a method for processing a data stream in a stream computing system are disclosed. The method includes a first working node invokes at least one execution unit to process a data stream according to an initial parallelism degree, a control node collects information reflecting data traffic between the first working node and a second working node, and information reflecting data processing speed of the first working node, determines an optimized parallelism degree for the first working node according to the collected information, and adjusts the parallelism degree of the first working node to be consistent with the optimized parallelism degree.

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