绿色数据中心环境下服务器热感知再定位

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

doi:10.1631/FITEE.1400174

Your Location：

Home >

Browse articles >

绿色数据中心环境下服务器热感知再定位

计算机与自动化 | Updated：2022-06-06

- 绿色数据中心环境下服务器热感知再定位
- Thermal-aware relocation of servers in green data centers
- 信息与电子工程前沿（英文） 2015年16卷第2期页码：119-134
- 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
  中图分类号：
- 收稿：2014-05-13，
  
  修回：2014-12-30，
  
  录用：2014-08-08，
  
  纸质出版：2015-02
- Accepted：
Scan QR Code
绿色数据中心环境下服务器热感知再定位[J]. 信息与电子工程前沿（英文）, 2015,16(2):119-134.

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.
绿色数据中心环境下服务器热感知再定位[J]. 信息与电子工程前沿（英文）, 2015,16(2):119-134. DOI： 10.1631/FITEE.1400174.

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

ABB Efficient DC Power Supply for Data Centers , 2013 . Available from http://www.electricalreview.co.uk/features/9475-efficient-dc-power-supply-for-data-centres http://www.electricalreview.co.uk/features/9475-efficient-dc-power-supply-for-data-centres .

N Ahuja . Datacenter power savings through high ambient datacenter operation: CFD modeling study . 2012 . Proc. 28th Annual IEEE Semiconductor Thermal Measurement and Management Symp. . 104 - 107 . DOI: 10.1109/STHERM.2012.6188833 http://doi.org/10.1109/STHERM.2012.6188833 .

N Ahuja , C Rego , S Ahuja , 等 . Data center efficiency with higher ambient temperatures and optimized cooling control . 2011 . Proc. 27th Annual IEEE Semiconductor Thermal Measurement and Management Symp. . 105 - 109 . DOI: 10.1109/STHERM.2011.5767186 http://doi.org/10.1109/STHERM.2011.5767186 .

ASHRAE 2011 Thermal Guidelines for Data Processing Environments—Expanded Data Center Classes and Usage Guidance , 2011 . Available from http://ecoinfo.cnrs.fr/IMG/pdf/ashrae_2011_thermal_guidelines_data_center.pdf http://ecoinfo.cnrs.fr/IMG/pdf/ashrae_2011_thermal_guidelines_data_center.pdf .

A Banerjee , T Mukherjee , G Varsamopoulos , 等 . Cooling-aware and thermal-aware workload placement for green HPC data centers . 2010 . Int. Green Computing Conf. . 245 - 256 . DOI: 10.1109/GREENCOMP.2010.5598306 http://doi.org/10.1109/GREENCOMP.2010.5598306 .

A Banerjee , T Mukherjee , G Varsamopoulos , 等 . Integrating cooling awareness with thermal aware workload placement for HPC data centers . Sustain Comput Inform Syst , 2011 . 1 ( 2 ): 134 - 150 . DOI: 10.1016/j.suscom.2011.02.003 http://doi.org/10.1016/j.suscom.2011.02.003 .

BBC Energy Transfer and Storage , 2014 . Available from http://www.bbc.co.uk/bitesize/ks3/science/energy_electricity_forces/energy_transfer_storage/revision/1/ http://www.bbc.co.uk/bitesize/ks3/science/energy_electricity_forces/energy_transfer_storage/revision/1/ .

A Corradi , M Fanelli , L Foschini . Increasing cloud power efficiency through consolidation techniques . 2011 . Proc. IEEE Symp. on Computers and Communications . 129 - 134 . DOI: 10.1109/ISCC.2011.5984005 http://doi.org/10.1109/ISCC.2011.5984005 .

S Huck . Measuring Processor Power TDP vs. ACP , 2011 . Available from http://www.intel.com/content/dam/doc/white-paper/resources-xeon-measuring-processor-power-paper.pdf http://www.intel.com/content/dam/doc/white-paper/resources-xeon-measuring-processor-power-paper.pdf .

M Jonas , G Varsamopoulos , SKS Gupta . On developing a fast, cost-effective and non-invasive method to derive data center thermal maps . 2007 . Proc. IEEE Int. Conf. on Cluster Computing . 474 - 475 . DOI: 10.1109/CLUSTR.2007.4629269 http://doi.org/10.1109/CLUSTR.2007.4629269 .

M Jonas , G Varsamopoulos , SKS Gupta . Non-invasive thermal modeling techniques using ambient sensors for greening data centers . 2010 . Proc. 39th Int. Conf. on Parallel Processing Workshops . 453 - 460 . DOI: 10.1109/ICPPW.2010.67 http://doi.org/10.1109/ICPPW.2010.67 .

J Koomey . Growth in Data Center Electricity Use 2005 to 2010 , 2011 . : Oakland, CA Analytics Press , .

D Kusic , JO Kephart , JE Hanson , 等 . Power and performance management of virtualized computing environments via lookahead control . Cluster Comput , 2009 . 12 ( 1 ): 1 - 15 . DOI: 10.1007/s10586-008-0070-y http://doi.org/10.1007/s10586-008-0070-y .

LD Didactic Gmbh Converting Electrical Energy into Heat Energy—Measuring with the Joule and Wattmeter , : Germany DIDACTIC GmbH , .

EK Lee , I Kulkarni , D Pompili , 等 . Proactive thermal management in green datacenters . J Supercomput , 2012 . 60 ( 2 ): 165 - 195 . DOI: 10.1007/s11227-010-0453-8 http://doi.org/10.1007/s11227-010-0453-8 .

Z Liu , Y Chen , C Bash , 等 . Renewable and cooling aware workload management for sustainable data centers . ACM SIGMETRICS Perform Eval Rev , 2012 . 40 ( 1 ): 175 - 186 . DOI: 10.1145/2318857.2254779 http://doi.org/10.1145/2318857.2254779 .

M Masiero . CPU Charts 2012: 86 Processors from AMD and Intel, Tested , 2012 . Tom’s Hardware , .

Mersenne Research, Inc. Great Internet Mersenne Prime Search (GIMPS) , 2012 . Available from http://www.mersenne.org/freesoft/ http://www.mersenne.org/freesoft/ .

J Moore , J Chase , P Ranganathan , 等 . Making scheduling “cool”: temperature-aware workload placement in data centers . 2005 . Proc. USENIX Annual Technical Conf. . 61 - 75 . .

T Mukherjee , A Banerjee , G Varsamopoulos , 等 . Spatio-temporal thermal-aware job scheduling to minimize energy consumption in virtualized heterogeneous data centers . Comput Netw , 2009 . 53 ( 17 ): 2888 - 2904 . DOI: 10.1016/j.comnet.2009.06.008 http://doi.org/10.1016/j.comnet.2009.06.008 .

I Rodero , EK Lee , D Pompili , 等 . Towards energy-efficient reactive thermal management in instrumented datacenters . 2010 . Proc. 11th IEEE/ACM Int. Conf. on Grid Computing . 321 - 328 . DOI: 10.1109/GRID.2010.5698002 http://doi.org/10.1109/GRID.2010.5698002 .

I Rodero , H Viswanathan , EK Lee , 等 . Energy-efficient thermal-aware autonomic management of virtualized HPC cloud infrastructure . J Grid Comput , 2012 . 10 ( 3 ): 447 - 473 . DOI: 10.1007/s10723-012-9219-2 http://doi.org/10.1007/s10723-012-9219-2 .

A Sansottera , P Cremonesi . Cooling-aware workload placement with performance constraints . Perform Eval , 2011 . 68 ( 11 ): 1232 - 1246 . DOI: 10.1016/j.peva.2011.07.018 http://doi.org/10.1016/j.peva.2011.07.018 .

Q Tang , T Mukherjee , SKS Gupta , 等 . Sensor-based fast thermal evaluation model for energy efficient high-performance datacenters . 2006 . Proc. 4th Int. Conf. on Intelligent Sensing and Information Processing . 203 - 208 . DOI: 10.1109/ICISIP.2006.4286097 http://doi.org/10.1109/ICISIP.2006.4286097 .

Q Tang , SKS Gupta , G Varsamopoulos . Thermal-aware task scheduling for data centers through minimizing heat recirculation . 2007 . Proc. IEEE Int. Conf. on Cluster Computing . 129 - 138 . DOI: 10.1109/CLUSTR.2007.4629225 http://doi.org/10.1109/CLUSTR.2007.4629225 .

CY Tu , WC Kuo , WH Teng , 等 . A power-aware cloud architecture with smart metering . 2010 . Proc. 39th Int. Conf. on Parallel Processing Workshops . 497 - 503 . DOI: 10.1109/ICPPW.2010.73 http://doi.org/10.1109/ICPPW.2010.73 .

U.S. Environmental Protection Agency Report to Congress on Server and Data Center Energy Efficiency Public Law 109-431 , 2007 . Available from http://www.energystar.gov/ia/partners/prod_development/downloads/EPA_Datacenter_Report_Congress_Final1.pdf6133-414f http://www.energystar.gov/ia/partners/prod_development/downloads/EPA_Datacenter_Report_Congress_Final1.pdf6133-414f .

VMware Inc. VMware vSphere Basics ESXi 5.0 vCenter Server 5.0 (in Chinese) , 2009 . Available from http://pubs.vmware.com/vsphere-50/topic/com.vmware.ICbase/PDF/vsphere-esxi-vcenter-server-50-basics-guide.pdf http://pubs.vmware.com/vsphere-50/topic/com.vmware.ICbase/PDF/vsphere-esxi-vcenter-server-50-basics-guide.pdf .

L Wang , G von Laszewski , J Dayal , 等 . Thermal aware workload scheduling with backfilling for green data centers . 2009 . Proc. IEEE 28th Int. Performance Computing and Communications Conf. . 289 - 296 . DOI: 10.1109/PCCC.2009.5403821 http://doi.org/10.1109/PCCC.2009.5403821 .

L Wang , G von Laszewski , J Dayal , 等 . Towards thermal aware workload scheduling in a data center . 2009 . Proc. 10th Int. Symp. on Pervasive Systems, Algorithms, and Networks . 116 - 122 . DOI: 10.1109/I-SPAN.2009.22 http://doi.org/10.1109/I-SPAN.2009.22 .

L Wang , SU Khan , J Dayal . Thermal aware workload placement with task-temperature profiles in a data center . J Supercomput , 2012 . 61 ( 3 ): 780 - 803 . DOI: 10.1007/s11227-011-0635-z http://doi.org/10.1007/s11227-011-0635-z .

浏览量

Downloads

CSCD

文章被引用时，请邮件提醒。

Submit

工具集

关联资源

暂无数据