Baidu Online Network Technology (beijing) Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Zecheng Zhuo

Yu Wang

Pengfei Zhang

Ke Wei Sun

Zhe Yang

Jian Gong

Xu Pan

Siqi Xu

Wenbo Liu

Zhiqun Xia

Bixi Wang

Provided is a data labeling method based on artificial intelligence, an apparatus, and a storage medium relating to the field of artificial intelligence, particularly data labeling, image recognition, and natural language processing. The method includes: determining a plurality of samples involved in clustering; performing a plurality of following operations circularly to realize iterative processing, until a convergence condition is satisfied or a quantity of iterations reaches a number threshold, comprising: pre-clustering the plurality of samples according to a vector representation of the respective samples to obtain a plurality of class clusters, each class cluster containing at least one sample; receiving labeling information for the respective class clusters and re-determining the plurality of samples according to the labeling information; and determining a clustering result according to the labeling information for the respective class clusters.

Data labeling method based on artificial intelligence, apparatus and storage medium

A method of monitoring network links is disclosed which includes: issuing, by a primary node module, a configuration file to a plurality of secondary node modules; receiving, by the secondary node modules, the configuration file, and performing a least link coverage algorithm to the configuration file, obtaining a set of least link coverages of a data detection stream between the secondary node modules; performing, by the secondary node modules, a one-way delay detection algorithm, performing one-way delay detection to the set of least link coverages, obtaining a one-way delay detection result, and returning the one-way delay detection result to the primary node module; and determining, by the primary node module, whether to trigger an alarm program based on a set alarm threshold. Links of the entire network are monitored more accurately and efficiently, while solving the asymmetric link delay issue, and may locate a failed link quickly.

Method and system for monitoring network link and storage medium therefor

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Beijing, China

Zecheng Zhuo