Method and device for dynamically allocating internal storage in online class system

Abstract

The invention provides a method and device for dynamically allocating an internal storage in an online class system. The method includes the following steps: a main thread establishes sub-threads with a first preset number and establishes internal storage blocks the same as the sub-threads in number; the main thread places the internal storage blocks into an internal storage queue, and the internal storage blocks in the internal storage queue are ranked according to the order of time stamps of the internal storage blocks, wherein the first position in the internal storage queue serves as the queue head, and the final position in the internal storage queue serves as the queue tail; the main thread allocates the internal storage block, at the queue tail position, in the internal queue to the sub-thread for executing reading operation; the main thread allocates the internal storage block, at the queue head position, in the internal storage queue to the sub-thread for executing writing operation.

Description

technical field [0001] The invention belongs to the field of memory allocation methods, in particular to a memory dynamic allocation method and equipment in an online classroom system. Background technique [0002] In the existing software development process, it is necessary to use multiple threads simultaneously to complete tasks quickly. In order to prevent a block of memory from being read and written at the same time caused by multi-threaded execution tasks, it is necessary to set blocking during the read and write process. However, when there are too many read and write threads, it will cause the blocking waiting time to be too long, which will affect the smoothness of the screen. [0003] The existing memory management mechanism mainly establishes a memory pool according to the statistics of memory usage, and divides the memory pool into memory blocks of the same size. When executing a task, the thread applies for the corresponding memory space. If the requested spa...

AI Technical Summary

Problems solved by technology

When executing a task, the thread applies for the corresponding memory space. If the requested space is larger than the actual need, this will lead to memory waste; if the requested memory is too small, it will affect the normal work of the thread.

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