Thread pool task processing method in high-availability cluster system

Abstract

The invention discloses a thread pool task processing method in high-availability cluster system. the method includes the steps of previously creating a certain number of unoccupied working threads atfirst, wherein the unoccupied working threads all stay at a condition blocking state during initiation; forming a working task array; adopting a main thread of a thread pool for sequentially processing a cycle of searching for working tasks, examining the state of the thread pool and distributing working threads for the working tasks; obtaining a working task to be processed from the head part ofthe working task array; if the working task to be processed is obtained successfully, proceeding to the next step; if the working task to be processed is not obtained successfully, maintaining the state of obtaining the working task; when the number of the current occupied threads in the thread pool accounts for over a certain proportion of the total thread number, not processing the current working task; detecting the state of the thread pool, and when the number of the current unoccupied threads is smaller than a minimum unoccupied value, creating a certain number of unoccupied threads to maintain the balance state of the thread pool; when the number of the current unoccupied threads is greater than a maximum unoccupied value, releasing a certain number of unoccupied threads; distributing a working thread for the working task to be processed.

Description

technical field [0001] The invention relates to a computer task processing method, in particular to a thread pool task processing method in a high-availability cluster system. Background technique [0002] In the era of rapid development of computer technology and the Internet, big data analysis and supercomputing have gradually become the mainstream research directions of various research teams. Similarly, as a national defense science and technology industry that requires precise calculations, the requirements for computing performance are getting higher and higher. In order to improve the computing performance to meet the operational requirements, cluster technology is applied to connect multiple servers or PCs through the network to jointly process a large and complex computing task. [0003] The advantage of the cluster system is that it can distribute complex computing tasks to various PCs or servers. But the specific allocation method needs to come up with an algori...

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Problems solved by technology

Moreover, threads will also consume system resources when they are active. Creating too many threads will cause the system to reduce the efficiency of the system due to excessive memory consumption or non-stop switching threads.

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