Dynamic scheduling method and system for DAG data model

A data model and dynamic scheduling technology, which is applied in electrical digital data processing, program startup/switching, multi-programming devices, etc., can solve the problems of wasting operating resources, prolonging task scheduling time, unable to dynamically select task nodes, etc., and saving energy. The effect of running resources and time, improving task scheduling speed, and improving convenience

Pending Publication Date: 2022-06-28
珠海紫讯信息科技有限公司
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  • Claims
  • Application Information

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Problems solved by technology

[0003] However, traditionally, when task scheduling is required, each task node of the DAG needs to be traversed and scheduled one by one, that is, the static scheduling method is adopted, and the ne

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  • Dynamic scheduling method and system for DAG data model
  • Dynamic scheduling method and system for DAG data model

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Embodiment 1

[0048] This embodiment provides a DAG data model dynamic scheduling method, such as figure 1 shown, including the following steps:

[0049] Step S10, visually arranging the task nodes to obtain a DAG data model; the DAG data model is a directed acyclic graph comprising several task nodes carrying task information, and is used for task scheduling;

[0050] Step S20, verifying the DAG data model to ensure the correctness of the DAG data model;

[0051] Step S30, configuring parameters and variables for each task node of the DAG data model that has passed the verification;

[0052] Step S40: Dynamically schedule the next task node based on the scheduling logic carried by each task node in the DAG data model and the operation data of the previous task node, avoiding invalid task nodes that do not need to be called, until the task scheduling is completed.

[0053] The step S10 is specifically:

[0054] Create a number of task nodes carrying task information in a flowchart mode, dr...

Embodiment 2

[0067] This embodiment provides a DAG data model dynamic scheduling system, such as figure 2 shown, including the following modules:

[0068] The task node arrangement module is used to visually arrange the task nodes to obtain a DAG data model; the DAG data model is a directed acyclic graph composed of several task nodes carrying task information, and is used for task scheduling;

[0069] The DAG data model verification module is used to verify the DAG data model to ensure the correctness of the DAG data model;

[0070] A parameter and variable configuration module for configuring parameters and variables for each task node of the DAG data model that has passed the verification;

[0071] The dynamic scheduling module is used for dynamically scheduling the next task node based on the scheduling logic carried by each task node in the DAG data model and the operation data of the previous task node, avoiding invalid task nodes that do not need to be called, until the task sched...

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Abstract

The invention provides a DAG data model dynamic scheduling method and system in the technical field of task scheduling. The method comprises the following steps that S10, task nodes are visually arranged to obtain a DAG data model; step S20, the DAG data model is verified; step S30, performing parameter and variable configuration on each task node of the DAG data model after verification is passed; and step S40, dynamically scheduling the next task node based on the scheduling logic carried by each task node in the DAG data model and the operation data of the previous task node until task scheduling is completed. The method has the advantages that the task nodes are dynamically scheduled, operation resources are greatly saved, and the task scheduling speed is greatly increased.

Description

technical field [0001] The invention relates to the technical field of task scheduling, in particular to a DAG data model dynamic scheduling method and system. Background technique [0002] A Robotic Process Automation (RPA) system is an application that provides another way to automate processes that are manually performed by the user by mimicking how the end user does it manually at a computer. The main function of the RPA-based code platform is task scheduling and task scheduling. The scheduled tasks are structured and stored using DAG (Directed Acyclic Graph), that is, the tasks are arranged into several task nodes. [0003] However, traditionally, when task scheduling is required, each task node of the DAG needs to be traversed and scheduled one by one, that is, the static scheduling method is used, and the next task node to be scheduled cannot be dynamically selected, resulting in some invalid task nodes being traversed and scheduled, not only It wastes running resour...

Claims

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Application Information

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IPC IPC(8): G06F9/48G06F9/448
CPCG06F9/4806G06F9/4482
Inventor 刘志海陈聪金
Owner 珠海紫讯信息科技有限公司
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