Distributed real-time task scheduling method and device, equipment and medium

Abstract

The invention discloses a distributed real-time task scheduling method and device, equipment and a storage medium. The distributed real-time task scheduling method comprises the following steps: receiving each task to be distributed through a Master node, and obtaining a task queue; distributing the task queue to a Redis node; caching a task queue through a Redis node; distributing the tasks to bedistributed in the task queue; according to a preset mode, submitting to a main load computing center; receiving a task submitted by the Redis node through a main load calculation center as a basic task; acquiring state information of each node server in the cluster from a work cluster statistics center as the current state; according to the basic task and the current state, performing task scheduling to obtain a target task; and dynamically distributing the target task to each node server according to the current state of each node server. The invention further relates to a blockchain technology, wherein the basic task, the current state and the target task can be stored in a blockchain node. The distributed real-time task scheduling method and device can improve the task scheduling efficiency.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a distributed-based real-time task scheduling method, device, equipment and medium. Background technique [0002] Task scheduling refers to adjusting the execution order of tasks when there are many tasks. With the increasing development of information technology, task scheduling systems are more and more widely used, such as food delivery software, taxi software, map software, etc. How to assign tasks is very common in projects. [0003] In the process of implementing this application, the inventor realized that there are at least the following problems in the existing task scheduling system: many current task scheduling systems consider how to optimize the scheduling algorithm itself, but do not consider how the computing tasks schedule this process optimization. Many scheduling systems are based on single-machine or even single-CPU calculations. For systems that require large-...

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Problems solved by technology

[0003] In the process of implementing this application, the inventor realized that there are at least the following problems in the existing task scheduling system: many current task scheduling systems consider how to optimize the scheduling algorithm itself, but do not consider how to schedule the computing tasks. optimization

Many scheduling systems are based on single-machine or even single-CPU calculations. For systems that require large-scale task scheduling, the computing power is already stretched, which is not enough to support task allocation calculations in the case of a large number of concurrent tasks.

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