Channel-based real-time scheduling optimization method

Abstract

The invention discloses a channel-based real-time scheduling optimization method, and relates to the technical field of information scheduling, and the method comprises the following steps: S1, starting a scheduling system, and adding a plurality of to-be-scheduled tasks; According to the method, the task scheduling sequence of the system is adjusted in real time according to the execution time of various tasks, after the scheduling system starts to run, the tasks which are executed more quickly in the scheduling process float at the top of the channel, and the tasks which are executed more slowly sink at the bottom of the channel, so that most of the tasks are executed successfully as much as possible in each round of tasks, and results are returned; the execution time of each round of task cannot be prolonged by partial tasks with long execution time, the time of the whole round of task execution of the scheduling system is shortened, and the problem that the whole task execution time of the scheduling system is prolonged due to long execution time of partial tasks is successfully solved.

Description

Technical field [0001] The present invention relates to an information scheduling method, and in particular, to a real-time scheduling optimization method for channels. Background technique [0002] Nowadays, various types of data processing tasks in the information age have extremely high processing responsiveness, while having an extremely large amount of data, and today's traditional task scheduling system, you need an ordered task to circulate, while pressing as soon as possible The preset rule responds to and executes each scheduling task, and the traditional task scheduling system is sequentially sorted and executed by one by one, and the scheduling of each round of task is used by the loop queue. When the schedule is complete, it is immediately determined. In the process of the entire scheduling process after the system, the execution order of the task does not change, that is, the task serial number is more effective after the task serial number is executed, and the task ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a channel-based real-time scheduling optimization method to solve the problem that the processing time of some tasks is relatively long and elongated when the existing scheduling method proposed in the above-mentioned background technology schedules multiple levels of the same task response Issues with the running time of the overall task round