Abstract: An intelligent hotspot scattering method includes learning request quantity curves of a plurality of URLs based on an artificial intelligence learning model and performing request quantity prediction on the plurality of URLs, determining a first URL from the plurality of URLs, determining a second URL from the plurality of URLs, and performing a hotspot scattering operation on the URLs. A predicted request quantity of the first URL is greater than or equal to a first predetermined request quantity threshold corresponding to the first URL. A request quantity of the second URL is not predictable and an actual request quantity of the second URL is greater than or equal to a second predetermined request quantity threshold corresponding to the second URL.

Abstract: The application discloses an intelligent hotspot scattering method, an apparatus, a storage medium, and a computer device. The method comprises: learning a request quantity curve of a URL based on an artificial intelligence learning model and predicting a request quantity of the URL; determining, as a first URL, a URL of which the predicted request quantity of the URL is greater than or equal to a first predetermined request quantity threshold corresponding to the URL, and performing a first hotspot scattering operation on the URL; and determining, as a second URL, a URL of which the request quantity of the URL cannot be predicted and the actual request quantity is greater than or equal to a second predetermined request quantity threshold corresponding to the URL, and performing a second hotspot scattering operation on the URL.

Abstract: The present disclosure provides a processing method and apparatus for saving power, a mobile terminal, and a cloud server. The method may be applied to a client, and includes: collecting at least one of running information of an application in an operating system of the client, behavior information of the application and scenario information related to the application, to generate client characteristic information; uploading the client characteristic information to a cloud server; receiving a power saving strategy generated by the cloud server with respect to the client characteristic information, and performing a power saving operation on the application according to the power saving strategy.

Abstract: The present disclosure provides a processing method and apparatus for saving power, a mobile terminal, and a cloud server. The method may be applied to a client, and includes: collecting at least one of running information of an application in an operating system of the client, behavior information of the application and scenario information related to the application, to generate client characteristic information; uploading the client characteristic information to a cloud server; receiving a power saving strategy generated by the cloud server with respect to the client characteristic information, and performing a power saving operation on the application according to the power saving strategy.