云数据中心系统功耗建模及管理优化方法

路明怀; 许阳光; 王宸; 李杰

doi:10.12263/newIT.2024.05.005

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云数据中心系统功耗建模及管理优化方法

科研通信 | 更新时间：2025-05-23

- 云数据中心系统功耗建模及管理优化方法
- Cloud Data Center System Power Modeling and Management Optimization Methods
- 新一代信息技术 2024年7卷第5期页码：26-34
- 作者机构：
  
  1.广州市数字政府运营中心，广东广州 511348
  2.华南师范大学人工智能学院，广东佛山 528225
  3.暨南大学信息科学技术学院，广东广州 510632
- 作者简介：
  
  [ "路明怀（1976—），男，高级工程师，在广州市数字政府运营中心工作。主要研究方向为云计算、大数据、数字政府。E-mail： 64404299@qq.com" ]
  [ "许阳光（1998—），男，助理工程师，在广州市数字政府运营中心工作。主要研究方向为云计算、数字政府。E-mail： xvyangguang@gz.gov.cn" ]
  [ "王宸（2002—），男，华南师范大学人工智能学院学生。主要研究方向为云计算、资源管理等。E-mail：2786178563@qq.com" ]
  [ "李杰（1991—），男，博士研究生，现为华南师范大学人工智能学院特聘副研究员、硕士研究生导师。主要研究方向为云计算、数据管理、能耗优化等。E-mail： lijiegxmd11@163.com" ]
- 基金信息：
  
  华南师范大学青年教师培育基金(KJF120240001)
- DOI：10.12263/newIT.2024.05.005
  中图分类号： TP308
- 纸质出版日期：2024-05-15
- 稿件说明：
移动端阅览
路明怀, 许阳光, 王宸, 等. 云数据中心系统功耗建模及管理优化方法[J]. 新一代信息技术, 2024, 7(5): 26-34

LU Ming-huai, XU Yang-guang, WANG Chen, et al. Cloud Data Center System Power Modeling and Management Optimization Methods[J]. New Generation of Information Technology, 2024, 7(5): 26-34
路明怀, 许阳光, 王宸, 等. 云数据中心系统功耗建模及管理优化方法[J]. 新一代信息技术, 2024, 7(5): 26-34 DOI： 10.12263/newIT.2024.05.005.

LU Ming-huai, XU Yang-guang, WANG Chen, et al. Cloud Data Center System Power Modeling and Management Optimization Methods[J]. New Generation of Information Technology, 2024, 7(5): 26-34 DOI： 10.12263/newIT.2024.05.005.

摘要

随着云计算资源需求的日益增长，数据中心的数量和规模也在不断扩大，其巨大的电力消耗已成为一个日益突出的问题。本文旨在全面论述云数据中心系统在不同层次上的功耗建模及管理优化方法，涵盖对物理和虚拟云服务器、制冷系统以及云应用的实例、组件的相关研究。本文具体内容包括以下几个方面：首先，分析服务器层数据功率的收集方法；其次，论述硬件、软件及应用层面的功率模型；接着，介绍常用的系统功耗管理优化方法；最后，总结云数据中心系统在优化能源效率、应对能源消耗和环境问题方面的挑战，并对未来的研究方向做出展望。

Abstract

With the growing demand for cloud computing and the increasing number and scale of data centres

their huge power consumption has become an increasingly prominent issue. The objective of this paper is to provide a comprehensive overview of the power consumption models and management methods of cloud data centre systems at different levels

covering relevant studies on physical and virtual cloud servers

cooling systems

and examples of cloud applications

components. The specific details of this paper include the following aspects: firstly

the collection methods of data power at the server level are analysed; secondly

the power models of cloud servers and cooling systems at the hardware

software and application levels are reviewed; then

the commonly power management methods for cloud data centre systems are introduced. Finally

the challenges of data centre power management in optimising energy efficiency and addressing energy consumption and environmental issues are discussed

and future research directions are envisaged.

关键词

Keywords

references

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基于云的运维大数据管理平台的设计与实现

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