Data center job scheduling method and system based on temperature prediction

A data center and job scheduling technology, which is applied in electrical digital data processing, digital data processing components, multi-programming devices, etc., can solve the problems of one-sided optimization, low energy saving efficiency, etc. The effect of reducing energy consumption

Pending Publication Date: 2022-07-29
SHANDONG COMP SCI CENTNAT SUPERCOMP CENT IN JINAN +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

It aims to solve the problems of one-sided optimization and low energy saving efficiency in related technical centers, and achieve the ultimate goal of reducing the overall energy consumption of the data center

Method used

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  • Data center job scheduling method and system based on temperature prediction
  • Data center job scheduling method and system based on temperature prediction
  • Data center job scheduling method and system based on temperature prediction

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Embodiment 1

[0029] This embodiment provides a data center job scheduling method based on temperature prediction;

[0030] like figure 1 As shown, the data center job scheduling method based on temperature prediction includes:

[0031] S100: Obtain the relevant parameters of the data center cabinet, the relevant parameters of the servers in the cabinet, the size of the resources required for the job to be scheduled in the job queue, and the relevant parameters of the cooling equipment;

[0032] S200: Preprocess the acquired data, and perform feature screening on the preprocessed data; based on the trained machine learning model and the features obtained by screening, predict the temperature of the cabinet in the future set time period, and select the one with the lowest temperature cabinet;

[0033] S300: Perform initial scheduling and optimal scheduling of the job to be scheduled in several servers in the cabinet with the lowest temperature, and select the optimal mapping scheme between...

Embodiment 2

[0096] This embodiment provides a data center job scheduling system based on temperature prediction;

[0097] like figure 2 As shown, the data center job scheduling system based on temperature prediction includes:

[0098] a resource monitoring module, which is configured to: obtain relevant parameters of the data center cabinet, relevant parameters of the servers in the cabinet, the size of the resources required by the jobs to be scheduled in the job queue, and the relevant parameters of the cooling equipment;

[0099] The temperature prediction module is configured to: preprocess the acquired data, and perform feature screening on the preprocessed data; based on the trained machine learning model and the features obtained by screening, predict the temperature of the cabinet in a set time period in the future. temperature, select the cabinet with the lowest temperature;

[0100] The job scheduling module is configured to: perform initial scheduling and optimal scheduling ...

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Abstract

The invention discloses a data center job scheduling method and system based on temperature prediction. The method comprises the following steps: acquiring related parameters of a data center cabinet, related parameters of a server in the cabinet, the size of resources required by a job to be scheduled in a job queue and related parameters of cooling equipment; preprocessing the acquired data, and performing feature screening on the preprocessed data; based on the trained machine learning model and the screened features, predicting the temperatures of the cabinets in a future set time period, and selecting the cabinet with the lowest temperature; initial scheduling and optimal scheduling are carried out on to-be-scheduled jobs in a plurality of servers of the cabinet with the lowest temperature, and an optimal mapping scheme between the servers and the to-be-scheduled jobs is selected through multiple iterations; and scheduling the to-be-scheduled job according to the optimal mapping scheme.

Description

technical field [0001] The present invention relates to the technical field of data center job scheduling, in particular to a data center job scheduling method and system based on temperature prediction. Background technique [0002] The statements in this section merely provide background related to the present disclosure and do not necessarily constitute prior art. [0003] With the rapid development of the current data center, the computing performance of the data center has been greatly improved, and the computing scale has also continued to expand. However, large-scale computing cluster systems consume more and more energy. Data center energy consumption is mainly divided into two parts: computing energy consumption and cooling energy consumption. Computing energy consumption mainly includes energy consumption generated by server systems and network systems. The cooling energy consumption is mainly the energy consumption of cooling facilities such as air conditioners...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/48G06F1/329G06N20/00G06F11/30
CPCG06F9/4893G06F1/329G06N20/00G06F11/3051G06F11/3058
Inventor 杨美红陈泳杰王继彬郭莹
Owner SHANDONG COMP SCI CENTNAT SUPERCOMP CENT IN JINAN
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