Huawei Technologies Co., Limited

Tencent Technology (shenzhen) Company Limited

Linfeng Li

Ling Guo

Feng Xing

The method includes: receiving a first message sent by a first application APP on a terminal device, where the first message includes a user agent UA; determining, based on the first message, a first address and a second address corresponding to the terminal device; and sending a second message to the first APP, where the second message includes the first address and the second address, and the second message is used by the first APP to first attempt to open a page corresponding to the first address after receiving the second message, and if the opening fails, open a page corresponding to the second address.

Address obtaining method and device

Embodiments of this application provide an API hybrid multi-tenant routing method and system, as well as an API gateway. The method includes: after receiving an API request message sent by an API caller, obtaining an APP key carried in the message; obtaining, based on a multi-tenant routing policy table, an API running instance URL list corresponding to the APP key; determining an API running instance URL in the API running instance URL list; and returning the API running instance URL to the API caller. The APP key is used to identify the API caller. The multi-tenant routing policy table stores a mapping relationship between the APP key and the API running instance URL list. The API hybrid multi-tenant routing system is a functional module in the API gateway.

API hybrid multi-tenant routing method and system, and API gateway

The present disclosure relates to microservice configuration apparatus and methods. One example method includes obtaining, by a management device, each indicator of a microservice of a service, where types of all indicators of microservices of different services are the same, calculating a health degree score of the microservice of the service based on each indicator of the microservice of the service, indicator weight information, and a health degree model, where health degree models corresponding to microservices of different services are the same, determining a configuration parameter for the microservice of the service based on the health degree score when the health degree score of the microservice of the service is less than a preset score threshold, and configuring the microservice of the service based on the configuration parameter.

Microservice configuration apparatus and method

A device for processing a virus file, including a memory, and a processor in communication with the memory, the memory stores a virus file information providing instruction, a cleaning instruction, an isolating instruction and a transferring instruction, which are executable by the processor; the virus file information providing instruction indicates to provide virus file information; the cleaning instruction indicates to clean a virus file in a User Equipment (UE) corresponding to the virus file information, based on the virus file information; the isolating instruction indicates to provide isolation space, and utilize the isolation space to isolate the virus file, and the transferring instruction indicates to transfer the virus file, which is cleaned based on the cleaning instruction, to the isolation space.

Device, system and method for processing virus files

A method and apparatus for uploading files are disclosed. The method includes: upon receiving a scanning instruction, obtaining unknown files on a client and putting the unknown files in a file upload queue; scanning unknown files in the file upload queue to obtain a risk coefficient for each unknown file; sorting in descending order the unknown files in the file upload queue based on the risk coefficient of the unknown files; and uploading the unknown files in the file upload queue in order to a server. The unknown files in the file upload queue are sorted so that the most suspicious files are uploaded first to ensure that the server will timely receive the most suspicious files, which greatly improves the efficiency of cloud servers in collecting suspicious files.

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Nanjing, China

Linfeng Li