Task abnormity diagnosis method and system for real-time operating system

Abstract

The invention discloses a task abnormality diagnostic method and a system used in a real-time operating system, wherein, the method includes the following steps: when task abnormality occurs, a task abnormality diagnostic module queries a task abnormality processing information table according to the ID of the task with abnormality so as to position a task abnormality record function by means of the corresponding relation between the task abnormality record function and the ID of the task; moreover, related information of an abnormal task is recorded through the task abnormality record function to diagnose the abnormal task. Through the invention, more related information used in task abnormality diagnosis can be acquired to increase the efficiency of task abnormality analysis.

Description

technical field The present invention relates to the communication field, and more particularly relates to a method and a system for diagnosing task abnormality for a real-time operating system. Background technique A task is the smallest unit that can be scheduled by a real-time operating system and executed by a processor that can compete for system resources. It can run independently to complete a relatively independent function. A task has a unique identifier (ie TID), its own independent task control block (Transaction Control Block, TCB for short), and a task stack in the system. The system scheduler uses the data structures of the TCB to manage the task scheduling functions. Among them, the TCB includes information such as the current state of the task, the priority, the event or resource to be waited for, the starting address of the task program code, and the initial stack pointer. The priority of tasks is the basis for the kernel to schedule tasks. A real-time o...

AI Technical Summary

Problems solved by technology

However, these information are directly provided by the real-time operating system, and the scalability is poor

Moreover, these recorded information lack flexibility and are not related to the functions and functions of the task. Therefore, using the recorded information, we can only find out where the problem occurs, but cannot find out other important resource information related to the task.

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