Thermal-aware relocation of servers in green data centers

Chaudhry Muhammad Tayyab; Ling T. C.; Hussain S. A.; Lu Xin-zhu

doi:10.1631/FITEE.1400174

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Thermal-aware relocation of servers in green data centers

Computer & Automation | Updated：2022-06-06

- Thermal-aware relocation of servers in green data centers
- 绿色数据中心环境下服务器热感知再定位
- Frontiers of Information Technology & Electronic Engineering Vol. 16, Issue 2, Pages: 119-134(2015)
- Affiliations：
  
  1.Department of Computer System & Technology, Faculty of Computer Science & Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia
  2.Department of Computer Science, COMSATS Institute of Information Technology, Lahore 54000, Pakistan
- Author bio：
  
  ‡Corresponding Author
- Funds：
- DOI：10.1631/FITEE.1400174
  CLC：
- Received：13 May 2014，
  
  Revised：2014-12-30，
  
  Accepted：08 August 2014，
  
  Published：2015-02
- Accepted：
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Chaudhry Muhammad Tayyab, Ling T. C., Hussain S. A., et al. Thermal-aware relocation of servers in green data centers[J]. Frontiers of Information Technology & Electronic Engineering, 2015, 16(2): 119-134.
DOI：

Chaudhry Muhammad Tayyab, Ling T. C., Hussain S. A., et al. Thermal-aware relocation of servers in green data centers[J]. Frontiers of Information Technology & Electronic Engineering, 2015, 16(2): 119-134. DOI： 10.1631/FITEE.1400174.

摘要

目的

数据中心服务器入风口温度升高将导致出风口温度随之升高，同时某些正在运作的服务器在高温环境下排放气体，可能会导致热点或硬件损坏。高出风口和热点造成制冷机制的负担。因此服务器可以被用于入风口温度灵敏度分析，且导致热点的位于高入风口区域的服务器可以被重新定位。

创新

预测出风口温度作为入风口温度的参考。根据预测的出风口温度重新定位服务器，从而降低最大出风口温度并节省用于制冷的能量消耗。

方法

根据能量守恒原则，提出服务器再定位算法（算法1），用于测试一组异构服务器。讨论不同测试组别下异构服务器再定位前后出入风口温度的时间响应以及CPU使用率（图2-28）。

结论

所提热感知再定位方法应用于数据服务中心服务器可实现节能2.1 kW˙h。再定位之后的服务器出风口温度同构化程度更高。对于每对再定位服务器，可以减少77%热点产生可能性。

Abstract

Rise in inlet air temperature increases the corresponding outlet air temperature from the server. As an added effect of rise in inlet air temperature

some active servers may start exhaling intensely hot air to form a hotspot. Increase in hot air temperature and occasional hotspots are an added burden on the cooling mechanism and result in energy wastage in data centers. The increase in inlet air temperature may also result in failure of server hardware. Identifying and comparing the thermal sensitivity to inlet air temperature for various servers helps in the thermal-aware arrangement and location switching of servers to minimize the cooling energy wastage. The peak outlet temperature among the relocated servers can be lowered and even be homogenized to reduce the cooling load and chances of hotspots. Based upon mutual comparison of inlet temperature sensitivity of heterogeneous servers

this paper presents a proactive approach for thermal-aware relocation of data center servers. The experimental results show that each relocation operation has a cooling energy saving of as much as 2.1 kW·h and lowers the chances of hotspots by over 77%. Thus

the thermal-aware relocation of servers helps in the establishment of green data centers.

关键词

Keywords

references

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