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Data center job scheduling method and system, storage medium and computing equipment

A job scheduling and data center technology, applied in computing, neural learning methods, electrical digital data processing, etc., can solve problems such as excessive redundant information, dimension explosion, job scheduler does not support elastic scaling, etc., to improve performance, The effect of speeding up placement and speeding up algorithm convergence

Pending Publication Date: 2021-07-09
XI AN JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0011] The technical problem to be solved by the present invention is to provide a data center job scheduling method, system, storage medium, and computing device for the deficiencies in the above-mentioned prior art, so as to solve the problem that the data center job scheduler does not support elastic scaling, dimension explosion, and redundancy. The problem of excess information

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  • Data center job scheduling method and system, storage medium and computing equipment
  • Data center job scheduling method and system, storage medium and computing equipment
  • Data center job scheduling method and system, storage medium and computing equipment

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Embodiment Construction

[0055] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0056] 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.

[0057] It should also be understood that the terminology used ...

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Abstract

The invention discloses a data center job scheduling method and system, a storage medium and computing equipment. The method comprises: training a scheduler by using a simulator; then, at each scheduling moment, sequentially traversing unfinished tasks contained in existing unfinished jobs by the scheduler according to a first arrival first service principle, and enabling state parameters of servers capable of accepting execution of the tasks and parameters of the tasks to form a server-job pair to be stored; inputting the stored server-job pair list into the neural network to calculate a corresponding Q value, selecting the server-job pair with the highest Q value as a scheduling decision, and scheduling the task to the corresponding server in the selected server-job pair for execution; and if all the unscheduled tasks in the job have completed the scheduling decision, marking that the job is completed at this time, continuing to traverse the uncompleted job list, and completing job scheduling. The algorithm performance is improved.

Description

technical field [0001] The invention belongs to the technical field of data center energy management, and in particular relates to a data center job scheduling method, system, storage medium and computing equipment. Background technique [0002] In recent years, with the development of computer science and technology, the computing power of hardware has been continuously improved, and the vigorous development of Internet business has also caused an explosive growth in the amount of Internet data. These have led to a rapid increase in the demand for computing resources. The computing power of a single computer can no longer meet the demand. So cloud computing came into being. Cloud computing is the product of the integration of traditional computer and network technologies such as distributed computing, parallel computing, virtualization, and load balancing. Cloud computing virtualizes a large number of servers into computing resource nodes through virtual machine technolo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/48G06N3/08
CPCG06F9/4843G06N3/08Y02D10/00
Inventor 伍卫国康益菲王今雨马春苗
Owner XI AN JIAOTONG UNIV