Beijing Baidu Netcom Science and Technology Co., Ltd.

Xiaoxu Chen

Xiang Gao

Tao Yang

Feng Liu

Zhiyuan Zhang

Chaoping Ji

Xianghui Zhang

Geng Li

Embodiments of the present disclosure disclose a method and apparatus for acquiring information. The method may include: acquiring cloud resource use information; comparing the cloud resource use information with a use rate threshold value, to obtain a comparison result; obtaining use state information of a cloud resource corresponding to the cloud resource use information according to the comparison result; and generating cloud resource state information based on the use state information.

Method and apparatus for comparing acquired cloud resource use information to thresholds to recommend a target cloud resource instance

Embodiments of the present disclosure relate to a method and apparatus for generating information. The method may include: acquiring at least one to-be-processed service and at least one piece of relationship information, the relationship information being used to represent an execution order between two to-be-processed services in the at least one to-be-processed service; constructing a directed graph with a to-be-processed service in the at least one to-be-processed service as a point and with a piece of relationship information in the at least one piece of relationship information as a directed edge; and generating execution order information of the to-be-processed service in the at least one to-be-processed service according to the directed graph.

Method and apparatus for generating information

A resource configuration method and apparatus for heterogeneous cloud services are provided. The method may include: establishing a basic model with a general structure for at least two heterogeneous cloud services, where the basic model comprises a trend model and a periodic model; determining a cloud service in the at least two cloud services as a target cloud service, and acquiring a target historical data set of the target cloud service; training the trend model and the periodic model using the target historical data set; generating a target prediction model corresponding to the target cloud service based on the trained trend model and the trained periodic model; and generating, based on the target prediction model, a resource amount demanded by the target cloud service in a future time period, and configuring resources for the target cloud service according to the demanded resource amount.

Resource configuration method and apparatus for heterogeneous cloud services

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Beijing, China

Xiaoxu Chen