Method for monitoring task stack overflow

Abstract

The invention discloses a method of monitoring the overflow of a task stack, comprising the steps as follows: a memory space positioned in the area of the tail end of the task stack is conformed and is set to have a read only attribute; the abnormal interrupt of address access of an operating system is monitored; when the abnormal interrupt of address access of the operating system is monitored, whether the task of the abnormal interrupt of address access stack overflows is judged. The method can monitor the overflow of the task stack real-time and avoid causing damage to other tasks because of the overflow of the task stack.

Description

technical field [0001] The invention relates to memory management, in particular to a monitoring method for task stack overflow. Background technique [0002] Generally speaking, each task or thread has its own independent stack (stack) space, which is used to allocate the memory occupied by the local variables in the task or thread, save the function call information when the task or thread is running, and the information when the task or thread is switched. contextual information. [0003] In some real-time operating systems, such as VxWorks, OSE, etc., in order to improve system efficiency, virtual memory management is usually not performed, and all tasks (including the kernel) share the same physical address space, and there is no address protection mechanism between tasks. In this way, there is no need to switch between virtual address spaces when switching tasks, variables can be shared directly between tasks, no need to copy data between different address spaces thro...

AI Technical Summary

Problems solved by technology

[0011] It can be seen that with the above monitoring method, when the task stack overflow is detected, an error has already occurred, and it is very likely that the memory space of other tasks has been damaged.

Secondly, whether it is detecting task stack overflow during task switching or timing detection of task stack overflow, there is no guarantee that the task stack overflow will be discovered in real time, so that corresponding follow-up processing will be performed to prevent errors from continuing.

Moreover, the task itself that performs task stack overflow monitoring will be damaged due to the overflow of the task stack, and the normal monitoring function cannot be realized.

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