Energy-saving scheduling method based on airflow organization for a data center

A data center and airflow organization technology, applied in energy-saving computing, electrical digital data processing, digital data processing components, etc., can solve problems such as complex calculations, achieve the effects of reducing complexity, reducing impact, and ensuring continuity

Inactive Publication Date: 2019-06-11
JINAN UNIVERSITY
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the above-mentioned defects in the prior art, provide a data center-oriented energy-saving scheduling method based on airflow organization, improve the calculation complexity of traditional algorithms, and take into account the balance of calculation energy consumption and cooling energy consumption

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Energy-saving scheduling method based on airflow organization for a data center
  • Energy-saving scheduling method based on airflow organization for a data center
  • Energy-saving scheduling method based on airflow organization for a data center

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0044] This embodiment discloses a data center-oriented energy-saving scheduling method based on airflow organization, including the following steps:

[0045] Step P1. To establish a heuristic greedy sequence calculation required energy consumption model. First, the server needs to be divided into regions according to the physical placement position, divided into several nodes, and the airflow in the data center is modeled by fluid dynamics CFD. The energy consumption model of the computing system and the cooling system is obtained, and the model of the relationship between the total energy consumption of the data center and the number of active servers in each node is obtained according to the model.

[0046] The server is divided into regions according to the physical location and divided into several nodes. The server sub-area is mainly based on the region of the physical location and the power sharing status of the server, and the servers in the same location area and shar...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an energy-saving scheduling method based on airflow organization for a data center, and the method comprises the steps: building a relationship between refrigeration energy consumption and calculation energy consumption according to the layout of the data center and thermal circulation, and obtaining a total energy consumption model of the data center; calculating a heuristic greedy sequence scheduled by the data center server according to the established energy consumption model; firstly storing the incoming tasks in a task queue, and then distributing all the tasks tothe corresponding servers according to the starting sequence of the servers in the heuristic greedy sequence; and calculating the distribution of the servers distributed with the tasks in the currenttime period to obtain the required cold air supply temperature, and setting the corresponding cooling temperature for the air conditioning device. The energy-saving scheduling method is provided fortask scheduling of the data center, resources of the computing equipment can be shared and utilized by distributing and scheduling workloads, the air conditioner refrigeration equipment can work at ahigh temperature, and the computing energy consumption and the refrigeration energy consumption can be effectively reduced.

Description

technical field [0001] The invention relates to the technical field of computer system structure, in particular to a data center-oriented energy-saving scheduling method based on airflow organization. Background technique [0002] The rapid development of information technology has led to explosive growth of data volume, and the continuous maturity of cloud computing technology has led to the development of data centers. The storage and calculation of massive data has led to the continuous expansion of the scale of data centers, and the continuous surge of carbon emissions and electricity bills. The problem of energy consumption in data centers has also become increasingly prominent. [0003] The growth trend of data continues to rise, and how to effectively save data center energy consumption has become a hot spot. For data centers, saving energy consumption cannot affect existing services. [0004] Existing application technologies save energy mainly by dynamically adju...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/48G06F9/50G06F1/329
CPCY02D10/00
Inventor 邓玉辉林瑞虹
Owner JINAN UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap