The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 03, 2017

Filed:

Apr. 28, 2014
Applicant:

Tencent Technology (Shenzhen) Company Limited, Shenzhen, CN;

Inventors:

Aimin Lin, Shenzhen, CN;

Qian Zhang, Shenzhen, CN;

Assignee:

TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Shenzhen, Guangdong Province, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 12/873 (2013.01); G06F 9/54 (2006.01);
U.S. Cl.
CPC ...
H04L 47/522 (2013.01); G06F 9/547 (2013.01); G06F 2209/548 (2013.01);
Abstract

The present application discloses methods, devices, and systems for information processing based on distributed buses. A server may receive processing request packets from one or more client terminals and enter the processing request packets into a single input information queue. After determining a number of idle information processing threads, the server may use the idle information processing threads to process the selected processing request packets to obtain response data packets. Each information processing thread is configured to use a respective output information queue to store response data packets generated by the information processing thread. The server may then transmit the response data packets within a respective output information queue to a corresponding client terminal. The current method, as well as the devices and systems associated with the method, may be used to facilitate information processing, improve efficiency, and prevent excessive burden and data loss.


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