Huawei Technologies Co., Limited

Chuntao Wang

Hao Wu

Jun Liu

Yu Zhang

Chen Chen

Linjie Huang

Tao Qian

Jianbing Wang

Qingping Yang

Jidong Zhang

Lu Wang

Zhenzhu Lv

Dapeng Zhang

Qi Luo

Jianping Xie

Kai Lu

Zhuojun Hua

Meisheng Liu

Wanyu Li

Jiaming Tian

Yueyun Lou

Leilei Zheng

A data transfer method includes that a first device displays a first interface. The first interface includes image information of a first file. When a distance between a Near-Field Communication (NFC) chip of the first device and an electronic tag of a second device is less than a preset threshold, the first device obtains a BLUETOOTH address of the second device. The electronic tag includes device information of the second device, and the device information includes the BLUETOOTH address or a tag identifier (ID) used to obtain the BLUETOOTH address. The first device exchanges a WI-FI connection parameter with the second device through a BLUETOOTH connection corresponding to the BLUETOOTH address. The first device establishes a WI-FI connection to the second device. After the WI-FI connection is established, the first device automatically transfers the first file to the second device through the WI-FI connection.

Data transfer method and electronic device

This application discloses a method, apparatus and storage medium for application identification. A network device performs flow behavior feature analysis according to a flow table to obtain a plurality of services. Each service includes one IP address and one port identifier, and one application may usually include a group of services. Therefore, the network device clusters the plurality of services according to the flow table and a domain name table, to obtain a plurality of application types. Each application type includes a plurality of services. Each application type corresponds to one application. Further, the network device may determine a label corresponding to each of the plurality of application types, the label identifying an application to which a data flow belongs.

Method, apparatus and storage medium for application identification

A poor-QoE assessment method and a related device are provided. The method includes: obtaining m data streams transmitted by a network device; screening the m data streams, and determining that p data streams in the m data streams and that meet a first preset condition are data streams corresponding to a first type; performing feature extraction on the data streams corresponding to the first type, to obtain known feature vectors corresponding to the first type; training, by using the known feature vectors corresponding to the first type, an untrained first poor-QoE assessment model, to obtain a trained first poor-QoE assessment model; and performing, by using the trained first poor-QoE assessment model, poor-QoE assessment on n data streams corresponding to the first type, to obtain a first poor-QoE assessment result. This method can be universally used instead of an application.

Poor-QoE assessment method and related device

A network device includes a forwarding plane and an artificial intelligence (AI) circuit. The forwarding plane is coupled to the AI circuit. The AI circuit is configured to process data about network packets from the forwarding plane using a first AI algorithm. The forwarding plane may be directly coupled to the AI circuit, and the forwarding plane may further pre-process the network packets to obtain the data about the network packets.

Network device and method for processing data about network packets

Embodiments of this application disclose a service type determining method and a related device. A first device obtains a dataset, where the dataset includes at least two 5-tuples. The first device determines a target feature (the target feature is used to indicate a service type corresponding to a target triplet) corresponding to the target triplet based on the dataset. In this way, the first device can identify the service type corresponding to the target triplet based on the target feature, to facilitate operations such as packet transmission traffic control or application identification based on the importance indicated by the service type.

Service type determining method and related device

A method, a corresponding apparatus and device for deploying a virtual machine instance in order to lower requirements for a communication capability of a virtualized value-added server (VAS) and improve processing efficiency of a service chain, where the method includes obtaining communication relationships between a VAS instances and a service switch (SSW) instances from a service template, where the VAS instances and the SSW instances provide services in a service chain, and the service chain and the communication relationships between the VAS instances and the SSW instances are defined in the service template, and deploying, according to the communication relationships, an SSW instance and a VAS instance that need to communicate with each other in the SSW instances and the VAS instances on a same physical machine.

Method and apparatus for deploying virtual machine instance, and device

A service application method and system, and a service application control agent (SACA) for reducing the delay of service application are provided. The method includes the following steps. An SACA receives service application information sent from a customer premises equipment (CPE). The SACA queries for Quality of Service (QoS) parameters corresponding to the service according to the service application information. Resource authorization and reservation request information containing the QoS parameters is sent to a resource and admission control unit. The resource and admission control unit verifies the request information to be authorized and admitted, and delivers a control strategy to a transport unit after the verification is passed. A service application system and an SACA are also provided correspondingly.

Method and system for service application and service application control agent

Growing community of inventors

Nanjing, China

Chuntao Wang