Job timing scheduling method and system, computer equipment and storage medium

A technology for timing scheduling and operations, applied in the field of artificial intelligence, which can solve problems such as waste of resources and occupation of machine resources.

Pending Publication Date: 2022-03-29
平安付科技服务有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in the existing technology, developers need to manually apply for fixed resources for jobs in the K8S cluster before job execution. After the resource app

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  • Job timing scheduling method and system, computer equipment and storage medium
  • Job timing scheduling method and system, computer equipment and storage medium
  • Job timing scheduling method and system, computer equipment and storage medium

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Embodiment Construction

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0029] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and / or collections thereof.

[0030] It should also be understood that the terminology used in the specificati...

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Abstract

The embodiment of the invention discloses a job timing scheduling method and system, computer equipment and a storage medium. The method comprises the steps that the method is applied to a job timing scheduling system, the job timing scheduling system comprises a mirror image management platform, a distributed coordination component, a job coordinator and a K8S cluster, job configuration of target jobs is stored in the distributed coordination component, and job functions of the target jobs are stored in the mirror image management platform; the method comprises the following steps: detecting whether job execution time in job configuration in a distributed coordination component arrives or not through a job coordinator; if so, triggering the K8S cluster to start POD through the operation coordinator; pulling a job function from the mirror image management platform through POD to generate a job process; executing the target job according to the job process; and after the target job is executed, recovering the job process through the job coordinator. According to the scheme, resources in the K8S cluster can be expanded and contracted according to needs, automatic capacity expansion and contraction are achieved, and resource waste is reduced.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to a job timing scheduling method, system, computer equipment and storage medium. Background technique [0002] With the popularization of Internet technology, we often encounter some needs for batch data processing and analysis in daily work, and of course there will be work scheduled according to the time cycle plan. [0003] Kubernetes (K8S) cluster is an open source platform for automatic deployment, expansion, and operation and maintenance of container clusters. Through the K8S cluster, it is possible to quickly and effectively respond to user needs and execute jobs quickly and predictably. [0004] However, in the existing technology, developers need to manually apply for fixed resources for jobs in the K8S cluster before job execution. After the resource application, before job execution, and after the job is completed, the requested resources w...

Claims

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Application Information

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IPC IPC(8): G06F9/48G06F9/50
CPCG06F9/4881G06F9/4887G06F9/5027G06F9/5016
Inventor 宋鲁生
Owner 平安付科技服务有限公司
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