Task stack overflow detection method and system

Abstract

The invention discloses a task stack overflow detection method and system, and the method comprises the steps: responding to task creation, determining the position of a stack bottom according to thedistributed task stack information, and carrying out the assignment of the last n bytes of the stack bottom; in response to system scheduling, enabling the task to be switched among all states, irregularly checking whether the last n bytes at the stack bottom of the task stack space are equal to pre-assigned values or not, wherein the task states include the creating state, the ready state, the running state, the waiting state, the hanging state and the stopping state; and determining that task stack overflow exists in response to the fact that the last n bytes of the stack bottom of the taskstack space are not equal to a pre-assigned value. According to the method, a processor does not need to be supported by MMU / MPU hardware, extra codes are not added to the function, the size of a compiled mirror image is not increased, and the method is particularly suitable for an operating system of the Internet of Things equipment.

Description

technical field [0001] The present application relates to the field of electrical digital data processing, in particular to a task stack overflow detection method and system. Background technique [0002] The size of the operating system task stack is usually pre-set and determined when the task is created. During the running process, the stack overflows due to excessive stack space occupied by local variables or too deep nested function levels during function calls. When the stack overflows, the stack pointer exceeds the range of the pre-allocated stack space, causing other memory adjacent to the stack space to be overwritten or illegally accessed. Other memory may be the range of memory used by other tasks. After being overwritten, it will cause fatal abnormal phenomena in the system, such as task crash and crash. [0003] At present, two methods are usually used to detect task stack overflow. One is to take advantage of the hardware characteristics of the processor, use...

AI Technical Summary

Problems solved by technology

Correspondingly, the IOT device processor is usually simple, the device resources are limited, and the hardware does not have memory management devices such as MPU or MMU or does not have sufficient system resources to use hardware protection, nor does it have too much FLASH and RAM, so it cannot be used in each function. Insert extra code in both

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