Huawei Technologies Co., Limited

Gong Zhang

Cheng He

Xun Yang

Yi Long

Bo Bai

Fan Zhang

Yong Cheng

Lujia Pan

Wei Han

Yong Huang

Yingtao Li

Sen Wang

Jiao Wang

Qun Huang

Xiuqiang He

Zhenhua Dong

Liangwei Wang

Dong Lin

Guoxiang Cao

Pei Xiao

Dayang Feng

Kaibin Huang

Yanping Xiang

Zihuai Lin

Yunbo Li

Yi Chen

Peng Wang

Yi Tong Wang

Shunqing Zhang

Cheng Wang

Chen Chen

Li Chen

Shanfu Li

Hongbo Jin

Kin Nang Lau

Dawei Huo

Hao Yu

Yi Wang

Defeng Li

Pak-Ching Lee

Jianyu Jiang

Chen Tian

Gang Hu

Guanrong Chen

Zhuo Cheng

Wei Liang

Runhui Li

Rusong Jia

Jingjie Jiang

Yingying Cheng

Chaorui Zhang

Heming Cui

Tsz On Li

Xusheng Chen

Xi Peng

Lu Tang

Shui Wing David Hui

Yu Lan

Haofeng Qi

Kin (Vincent) Nang Lau

Jianneng Liu

Yi Chao Chen

The present disclosure relates to service level agreement (SLA) performance prediction methods, apparatuses, and devices. In one example method, a first network device obtains timestamps and packet lengths of a plurality of data packets. The first network device determines an arrival time interval of each of the plurality of data packets based on the timestamps of the plurality of data packets, where arrival time intervals of the plurality of data packets constitute a time interval sequence according to an arrival order. The first network device determines time domain feature parameters of the plurality of data packets based on a Markovian arrival process (MAP) model and the time interval sequence.

SLA performance prediction method and related apparatus, and device

This application discloses a data processing method. A first apparatus obtains a first feature of a first data block in storage space. The first feature includes a read/write feature related to the first data block and a read feature of a second data block adjacent to the first data block. The first apparatus inputs the first feature into an access frequency prediction model, to obtain access frequency of the first data block. The access frequency of the first data block is used to determine a type of the first data block. To be specific, in embodiments of this application, future access frequency of the first data block is predicted by using a multidimensional feature of the first data block (the read/write feature of the first data block and a read feature of an adjacent data block).

Data processing method, apparatus, and system of access frequency prediction based on first block and block adjacent to the first block

Embodiments of this application provide application processing methods and apparatuses. One method includes: receiving a startup request from a first client device, where the startup request is used to start an application. Loading, in a high-level language execution environment of an enclave, a manifest file of the application and a dependency relationship between an enclave entrypoint function of the application and a static dependency class, and loading a static dependency class of the enclave entrypoint function of the application based on the manifest file and the dependency relationship between the enclave entrypoint function and the static dependency class.

Application processing method and apparatus, cloud environment, medium, and program product

This application provides a model training-based communication method and apparatus, and a system, to effectively decrease a data amount of a parameter transmitted between the communication device and the central server. The method includes: The communication device determines a change amount of a first model parameter value. If the communication device determines, based on the change amount of the first model parameter value, that a first model parameter is stable, the communication device stops sending an update amount of the first model parameter value to the central server in a preset time period. The update amount of the first model parameter value is determined by the communication device based on user data in a process of performing model training. The communication device receives a second model parameter value sent by the central server.

Model training-based communication method and apparatus, and system

A graph refactorization method is provided, and relate to the field of communication technologies, to implement parallel graph processing with load balancing, low communication costs, and short execution time. The method includes: A first machine selects a first vertex from a local vertex set of a subgraph (S). If a degree of the first vertex is less than or equal to a first preset threshold, the first machine fuses the first vertex and an adjacent vertex within a preset quantity of hops of the first vertex in the local vertex set into a super-vertex (S). If the degree of the first vertex is greater than or equal to a second preset threshold, the first machine copies the first vertex to obtain N sub-vertices, and divides edges of the first vertex in the subgraph of the first machine into N parts to respectively connect to the N sub-vertices (S).

Graph refactorization method and graph refactorization apparatus

The present disclosure relates to capacity planning methods and apparatus. One example method includes matching a distribution model based on a quantity of service packets in each transmission time interval within specified duration to obtain a matched first distribution model, matching a distribution model based on a length of the service packets to obtain a second distribution model, and performing bandwidth control based on the first distribution model, the second distribution model, a distribution parameter of the first distribution model, and a distribution parameter of the second distribution model.

Capacity planning method and apparatus

A network flow measurement method is applicable to a system including a network measurement device and a control plane device. The network flow measurement method includes measuring, by the network measurement device, first data, where the first data includes a first-type data structure, the first-type data structure includes first measurement information of a flow, and the first measurement information corresponds to a bit of a keyword of the flow, and sending, by the network measurement device, the first data to the control plane device.

Network flow measurement method, network measurement device, and control plane device

A transit device receives a target token request sent by a data transmit end, and sends the target token request to a data receive end. The data receive end may determine, based on the target token request, a target token packet corresponding to the target token request, and then send the target token packet to the transit device based on a priority identifier. The transit device determines a sending rate of the token packet based on a link bandwidth of the current device, a preset packet length of a token packet, and a preset packet length of the data packet, and sends the target token packet to the data transmit end based on the priority identifier and the sending rate of the token packet. The transit device may send the target data packet to the data receive end.

Network congestion control method, apparatus, and system

One example packet processing device includes a buffer, and the packet processing device obtains a to-be-measured packet. In response to determining that occupied storage space in the buffer is less than a preset threshold, the packet processing device reads the to-be-measured information from the buffer, and modifies, based on the to-be-measured information and a first algorithm, a pieces of data in first measurement data corresponding to the to-be-measured packet, where a is a positive integer. In response to determining that occupied storage space in the buffer is greater than or equal to a preset threshold, the packet processing device modifies, based on to-be-measured information and a second algorithm, w pieces of data in second measurement data corresponding to the to-be-measured packet, where w is a positive integer, and w is less than a.

Traffic measurement method, device, and system

This application proposes a method, which includes: determining resource configuration information of a first application based on a first request sent by a client and global resource information of the ADN, where the first request includes information used to determine a resource requirement of the first application, the resource configuration information of the first application includes resource configuration of the first application in at least one subdomain in the ADN, and the global resource information includes resource utilization information of the first application in each subdomain and available resource information in each subdomain; and sending the resource configuration information of the first application to the client, where the resource configuration information of the first application is used by the client to request a C plane controller of the at least one subdomain to configure a resource of the first application in a subdomain to which the C plane controller belongs.

Device, system, and resource allocation method

A mobile communications system expansion method, a related device, a storage medium, and a program product are provided, to relatively accurately expand a capacity of a current data service-focused communications network. In embodiments of this application, a distribution status of collected data characteristic information is fitted by using a power-law model, to obtain a user data transmission rate in a coverage area of a transmit unit; a theoretical quantity of users supported by a mobile communications system is determined based on the user data transmission rate and an obtained reference system transmission rate of the mobile communications system; and whether to expand a capacity of the transmit unit is determined based on the theoretical quantity of users and an actual quantity of users that access the transmit unit in the preset time segment.

Mobile communications system expansion method and device, storage medium, and program product

This application discloses a network control method. The method includes: obtaining global network information; determining resource information of at least one sliced network based on the global network information, where each sliced network is corresponding to one second controller, and resource information of each sliced network includes initial link bandwidth allocated to each aggregation flow in each sliced network on each link in each sliced network; and sending resource information of a corresponding sliced network to each second controller, so that a target second controller performs, through closed-loop control based on a queue status corresponding to a target sliced network, closed-loop correction on initial link bandwidth allocated to each aggregation flow in the target sliced network on each link in the target sliced network, and each switch in the target sliced network transmits a corresponding aggregation flow based on corresponding corrected link bandwidth.

Network control method, apparatus, and system, and storage medium

The present disclosure relates to a method for traffic engineering in a communications network. In one example method, a controller determines at least one sampling node in a flexible node and a temporal frequency for traffic sampling. The controller instruct the at least one sampling node to perform traffic sampling at the temporal frequency. The controller receives sampled traffic data of all sampling nodes obtained during each sampling. The controller determines, according to the sampled traffic data obtained during each sampling and information about total traffic of a link whose link utilization is greater than a first preset value or less than a second preset value in the communications network, parameter information for traffic engineering. The controller performs traffic engineering control according to the parameter information.

Method for traffic engineering in communications network and controller

Embodiments of the present Application provide a communications system of an application driven network. The communications system includes: a core controller, a network controller cluster, and an access point cluster. The core controller is configured to allocate at least one network controller in the network controller cluster and at least one access point in the access point cluster to form an application driven network, where the core controller is configured to: form an application control channel and manage the at least one access point, and the at least one access point is configured to form an application data channel. An access point in the access point cluster is configured to establish a communication channel with a terminal device, so that the terminal device accesses the control channel and the application data channel in the application driven network.

Communications system and networking method of application driven network, and controller

A congestion control method includes obtaining, by a first network node, a current queue buffer status of each of N second network nodes, combining, by the first network node, current queue buffer statuses of the N second network nodes and a current queue buffer status of the first network node into a state vector, updating, by the first network node, the current queue buffer status of the first network node according to the state vector and a coupling vector; and repeating all the above steps till an absolute value of a difference between each of the queue buffer statuses of the N second network nodes and the queue buffer status of the first network node is less than or equal to a preset threshold.

Congestion control method and network node

Growing community of inventors

Shenzhen, China

Gong Zhang