Task dynamic balance assignment method and system, electronic equipment and storage medium

Abstract

The invention provides a task dynamic balance assignment method and system, electronic equipment and a storage medium, and the method comprises the following steps: obtaining a task in a task queue, and storing the task in a task library; sending the tasks in the task library to a to-be-dispatched task pool; dividing the tasks in the to-be-assigned task pool into one or more sub-task queues according to the attributes of the tasks; and based on the weight ratio of the maximum task amount received by the user, the task priority or the maximum task amount received by the user, assigning the tasks in the sub-task queues to the user. Different tasks are assigned to corresponding users based on the weight ratio of the maximum task amount received by the users, the task priorities or the maximumtask amount received by the users, so that the tasks are matched with the users, task assignment is optimized, and task assignment efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of task scheduling in the Internet technology, and in particular relates to a method, system, electronic equipment and storage medium for dynamically balanced task assignment. Background technique [0002] In the prior art, the pre-processing method for tasks is simple, lacks the setting of task filtering conditions, and screens out some tasks that ordinary users cannot handle to avoid affecting the normal work process and performance evaluation; the task assignment method generally adopts random assignment method, or According to a certain sorting rule and then assigned to a group of users according to the order of Z type, the following problems often occur: [0003] Insufficient classification of tasks, tasks of the same type have the characteristics of similar workload, similar processing methods, and similar requirements for users' operating capabilities; [0004] Inconsistent standards for executing ta...

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Problems solved by technology

[0002] In the prior art, the pre-processing method for tasks is simple, lacks the setting of task filtering conditions, and screens out some tasks that ordinary users cannot handle to avoid affecting the normal work process and performance evaluation; the task assignment method generally adopts random assignment method, or According to a certain sorting rule and then assigned to a group of users according to the order of Z type, the following problems often occur:

[0004] Inconsistent standards for executing tasks lead to a mismatch between tasks and users, so the efficiency of users performing tasks is relatively low; and due to the lack of ability of users, they often cannot handle corresponding tasks, so users with low abilities often make mistakes when performing tasks. Highly able users are less motivated to perform normal and simple tasks

[0005] In addition, due to the unbalanced workload distribution among users in the prior art, the work of some users is saturated, while some users are idle, so the overall efficiency of users performing tasks is low; therefore, there is an urgent need for a method that can dynamically adjust tasks Assignment methods to distribute tasks to corresponding users in a balanced manner

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