Distributive timed task scheduling system and method

Abstract

The application discloses a distributive timed task scheduling system and method. The distributive timed task scheduling system comprises a scheduler used for distributing multiple timed tasks, a timer comprising multiple timer modules and used for starting timing according to task distributions, an executor comprising multiple service modules used for starting or stopping to execute tasks according to instructions of the multiple timer modules when time conditions for the multiple timed tasks are reached, and a distributive service framework used for supporting the scheduler and the timer to distributively deploy and operate. The scheduler is used for dynamically distributing timed tasks during system operation. The scheduler and the timer of the distributive timed task scheduling system operate in a distributive manner so that system efficiency is increased. The system allows dynamic distribution of timed tasks so that task management is convenient. User's experience is improved.

Description

technical field [0001] The invention relates to the field of computers, in particular to a distributed timing task scheduling system and method. Background technique [0002] Asynchronous task processing is often involved in the construction of large-scale software systems, and asynchronous tasks are scheduled and executed by timers. Under the Java platform, the existing scheduled task scheduling modules include the lightweight task module (ie, Spring task) that comes with the Spring framework, or the Quartz scheduler (ie, the Quartz scheduler) supported by the Spring framework. [0003] When the task module can be used to schedule and execute timed tasks in the Spring framework, the task module can be configured to specify the timed task execution entry and time rules. The task module starts with Spring startup, and executes the scheduled task after the scheduled time is reached. However, the Spring framework itself is a JavaEE application framework and does not support a...

AI Technical Summary

Problems solved by technology

When there are many scheduled tasks, the system has heavy load, low performance and strong coupling, making it difficult to directly apply to large-scale systems, which is not conducive to the formation of independent cloud-deployable products

[0006] Moreover, the existing scheduled task scheduling module does not have a web management terminal, so it is difficult to manage scheduled tasks, such as adding, modifying, deleting scheduled tasks, and checking the execution status of scheduled tasks, etc., so it is inconvenient to use and the user experience is not good

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