Huawei Technologies Co., Limited

Georgios Trimponias

Zhitang Chen

Hong Xu

Yanhui Geng

A network service transmission method includes obtaining network topology information and network service information, and determining a node centrality of each node in a set of other nodes; determining at least one segment node in the set of other nodes, determining at least one transmission path used to transmit each network service; and determining traffic of a network service that is to be transmitted on the at least one transmission path used to transmit the network service. After the segment node is determined, traffic of a network service transmitted on each transmission path is determined, and the transmission paths of the network services share the same segment node.

Network service transmission method and system

A data packet forwarding method and apparatus, where the method includes collecting, by a source switch according to a preset sampling period, congestion extents of d sampling paths in n paths, storing congestion extent indication information of each sampling path, where d is less than n, selecting, according to the congestion extent indication information, a first target sampling path with a smallest congestion extent at a first time point, forwarding a first data packet using the first target sampling path, storing an identifier of a first data flowcell to which the first data packet belongs forwarding a second data packet using the first target sampling path when an identifier of a second data flowcell to which the second data packet belongs is the same as the identifier of the first data flowcell.

Data packet forwarding method and apparatus

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.

Growing community of inventors

Hong Kong, China

Georgios Trimponias