Workflow-based distributed scheduling system and application method thereof

Abstract

The invention provides a workflow-based distributed scheduling system and the application method thereof. The distributed scheduling system comprises a logic scheduling module, a trigger management module, a database interaction module, a service interface module, a work distribution module, a work response module, a workflow resource library module and an execution agent terminal module. The logic scheduling module completes the logic processing and scheduling process of the workflow and the work. The trigger management module completes the trigger adding, triggering and deleting process of the workflow. The database interaction module completes the data interaction between the system and the database. The service interface module provides an external service interface for controlling the workflow and the work. The work distribution module and the work response module complete the work distributing process. The execution agent terminal module completes the receiving and updating process of work results. The workflow resource library module stores workflow configuration attributes read from a database. In this way, the single-point work execution pressure is shared, and the work scheduling and executing efficiency is improved.

Description

technical field [0001] The present invention relates to the field of job scheduling, in particular to a distributed scheduling system and method based on job flow. Background technique [0002] Most of the existing job scheduling systems are based on Quartz. The most important features are: the integration of job scheduling and execution. Although the scheduling efficiency is high, it increases the burden on the system. When the number of concurrent jobs is large, its response and scheduling efficiency are limited. big limit. Jobs are used as the scheduling unit for scheduling, and each job is configured one by one, which cannot be reused. The job flow is composed of dependencies between jobs in series, without independent attributes, it is not easy to display and control the job flow globally. Although each job in the job flow can be flexibly intervened, the lack of global control of the job flow makes the job flow scheduling prone to logic confusion. Contents of the in...

AI Technical Summary

Problems solved by technology

[0002] Most of the existing job scheduling systems are based on Quartz. The most important features are: the integration of job scheduling and execution. Although the scheduling efficiency is high, it increases the burden on the system. When the number of concurrent jobs is large, its response and scheduling efficiency are limited. big limit

Scheduling with jobs as the scheduling unit, one configuration per job, which cannot be reused

The job flow is composed of dependencies between jobs in series, without independent attributes, it is not easy to display and control the job flow globally

Although it is possible to flexibly intervene on each job in the job flow, the lack of global control over the job flow makes job flow scheduling prone to logical confusion

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