Query and memory space cleaning method and system based on cloud server

Abstract

The invention discloses a query and memory space cleaning method based on a cloud server and a query and memory space cleaning system thereof, wherein the memory space cleaning method based on the cloud server comprises the following steps of: scanning the memory space by a mobile terminal and taking a path of a currently scanned catalogue as to-be-queried information and inquiring it in a local database; confirming that information matched with the to-be-queried information is absent from the local database in the mobile terminal, and uploading the to-be-queried information to the server; collecting garbage from corresponding catalogues by the mobile terminal according to the cleaning strategies of the content returned by the server. Through application of the method and the system, the query efficiency can be improved so as to save the memory space and further improve the cleaning efficiency.

Description

technical field [0001] The present invention relates to terminal cleaning software technology, in particular, the present invention relates to a query and storage space cleaning method and system based on a cloud server. Background technique [0002] Mobile terminals refer to computer devices that can be used on the move, including mobile phones, tablet computers, etc. With the popularization of mobile terminals, more and more programs are installed on the mobile terminals. When the program is installed and running on the mobile terminal, file directories are usually generated to improve the running speed of the program or to help the program realize certain functions; these file directories occupy a large amount of storage space, and the cleaning of these file directories does not affect the program. In normal use, therefore, these file directories can be determined as cache directories (also referred to as cache directories for short). If the cache directory is not clear...

AI Technical Summary

Problems solved by technology

[0004] In fact, there are not many programs actually installed in the mobile terminal. In the process of cleaning the storage space, it is necessary to query and match the directories scanned from the storage space with all the cache directories collected in advance to determine the scanned directory. Whether the directory is a cache directory, this will consume a lot of query matching time, the query efficiency is low and further cause the storage space to be cleaned up slowly

Moreover, if the cache directories corresponding to all the programs collected in advance are pre-stored in the local database of the mobile terminal, a large amount of storage space will be occupied; if the cache directories corresponding to all the programs collected in advance are pre-stored in the full database of the cloud server , when the network is not connected, it is easy to cause the mobile terminal to be unable to query, and it is impossible to clean up the storage space in time

[0005] It can be seen that the existing storage space cleaning methods have the disadvantages of low query efficiency, large storage space, or inability to query and clean when the network is not connected; therefore, it is necessary to provide a storage space cleaning method that saves storage space and improves query efficiency. method

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