CN103293424A - Data center power usage efficiency (PUE) determination method - Google Patents
Data center power usage efficiency (PUE) determination method Download PDFInfo
- Publication number
- CN103293424A CN103293424A CN 201310251010 CN201310251010A CN103293424A CN 103293424 A CN103293424 A CN 103293424A CN 201310251010 CN201310251010 CN 201310251010 CN 201310251010 A CN201310251010 A CN 201310251010A CN 103293424 A CN103293424 A CN 103293424A
- Authority
- CN
- China
- Prior art keywords
- pue
- data center
- different
- power consumption
- pues
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 14
- 238000005259 measurement Methods 0.000 claims abstract description 23
- 238000004364 calculation method Methods 0.000 claims abstract description 9
- 238000005265 energy consumption Methods 0.000 claims abstract description 5
- 238000003556 assay Methods 0.000 claims description 11
- 230000005611 electricity Effects 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 abstract description 4
- 238000012360 testing method Methods 0.000 abstract description 2
- 238000007619 statistical method Methods 0.000 abstract 1
- 238000004891 communication Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000004904 shortening Methods 0.000 description 1
- 238000002834 transmittance Methods 0.000 description 1
Abstract
The invention provides a data center power usage efficiency (PUE) determination method which includes the specific measurement process that: corresponding energy consumption measurement points in a data center are well configured, different PUEs are set according to different environments, and different access points are adopted for the different PUEs; different measurement periods are defined for the different PUEs, and corresponding information technology (IT) equipment power consumption and total power consumption of the data center are obtained through measurement in the measurement periods; and the values of the different PUEs are obtained according to a computing method of the PUEs: the PUE=total equipment power consumption/IT equipment power consumption. Compared with the prior art, the data center PUE determination method has the advantages that the practical conditions of the PUEs of the data center can be reflected according to different statistical methods, accordingly the practical operation modes can be unified, and the phenomena of different final results caused by difference in testing points and measurement periods are reduced.
Description
Technical field
The present invention relates to the computer communication technology field, specifically the assay method of a kind of energy use efficiency PUE of data center.
Background technology
Universal expansion along with development of computer and computer utility, the quantity of server increases fast, therefore the server energy consumption problem is more and more outstanding, and the power consumption of Chinese data center in 2012 has accounted for 2% of national generating capacity according to statistics, is equivalent to the annual electricity generating capacity same period of the three gorges hydropower plant.Data center's energy use efficiency is the focus of industry research always.
Traditional PUE only is a general index, does not have detailed definition measurement point, measuring period etc.Owing to factors such as the geographic position of considering data center, weather, season, classs of business, PUE itself can not have different performances on an equal basis from difference, the measurement period of measurement point.Thereby how accurately to measure PUE and become a difficult problem.
Summary of the invention
Technical assignment of the present invention is to solve the deficiencies in the prior art, and the assay method of a kind of energy use efficiency PUE of data center is provided.
Technical scheme of the present invention realizes in the following manner, the assay method of this a kind of energy use efficiency PUE of data center, and its concrete measuring process is:
One, configures corresponding energy consumption measurement point in the data center, set different PUE according to varying environment, adopt different access points at different PUE;
Two, give the different PUE definition different measuring cycles, and in this measuring period, measure corresponding information technoloy equipment and consume power consumption, the total power consumption of data center;
Three, according to the computing method of PUE: electric energy service efficiency PUE=equipment total electricity consumption/information technoloy equipment power consumption obtains the value of different PUE.
Described PUE is divided into three kinds according to the environment difference, that is: PUE1, PUE2, PUE3, and described PUE1, PUE2, PUE3 are basic calculation with the actual consumption electric energy all, the IT load was based on continuous 12 months.
Described PUE1 represents that by the whole electric energy that calculate ups system output wherein the measurement period of power consumption should be week in January to 1.
Described PUE2 represents by the whole power consumptions that calculate the output of power supply unit PDU system, and wherein the measurement period of power consumption should be 1 thoughtful several hours.
Described PUE3 is by measured that whole power consumption reading is represented at the linking point of information technoloy equipment and electric power system, should be with the measurement period of the method power consumption to be less than or equal to 15 minutes.
The beneficial effect that the present invention compared with prior art produces is:
The assay method of a kind of energy use efficiency PUE of data center of the present invention is when the efficiency of evaluating data center, can be according to the distinct methods of statistics, embody the actual state of the PUE of data center, thereby can unify actual mode of operation, reduce since test point, measuring period difference, the different phenomenon of the net result that produces, thus can embody the actual conditions of the PUE of data center more accurately, can reasonably reflect the efficiency level of data center.
Embodiment
Assay method to a kind of energy use efficiency PUE of data center of the present invention elaborates below.
At present, PUE has become the efficiency evaluation index that data center generally acknowledges relatively, and the PUE value of data center is more low, shows that its electric energy service efficiency is more high.This is because lower PUE value representation more electric energy is used for the equipment that the main task of data center namely is used for processing, storage and the communication of information.
But obtaining along with the time of PUE value changes, even also be like this within short several hrs.The load of information technoloy equipment can constantly change among one day.The gradient of temperature of external environment condition also can influence the working strength of data center's cooling system, therefore also can influence the consumption of data center's energy.The power consumption of data center apparatus also can change because of the replacement of new used equipment.
This patent is divided into three classes with PUE, is respectively PUE1, PUE2, PUE3.
PUE1 wherein: based on the computing method of actual consumption electric energy.The IT load was calculated whole electric energy (kilowatt hour) of ups system output and is represented based on continuous 12 months.Adopt the measurement period of the method power consumption to should be week in January to 1.
PUE2: be the computing method based on actual consumption.The IT load was calculated whole electric energy (kilowatt hour) consumption of power supply unit (PDU) system output and is represented based on continuous 12 months.Adopt the measurement period of the method power consumption to should be 1 thoughtful several hours.
PUE3: be the computing method based on actual consumption.The IT load was based on continuous 12 months, and is measured that electric energy (kilowatt hour) consumption reading is all represented at the linking point of information technoloy equipment and electric power system..Measurement period with the method power consumption should be 15 minutes even shorter.
The difference of above-mentioned PUE1, PUE2, PUE3 is:
A. consider the factor such as geographic position, weather, season, class of business of data center, because the difference of the defined measurement point of PUE value in three cycles, the integration period of the corresponding sampling electric energy of each grade shortens successively, that is to say this Three Estate PUE1 to PUE3, its personnel that comprise tail off successively to its influence.
PUE1 to PUE3 in the Three Estate of B.PUE, the measurement point of each grade be the power consumption point of close final information technoloy equipment successively, so also comprised the influence of electric energy less and less system loss in transmittance process successively on PUE numerical value.
C. the business of moving in data center, its operand have time cycle characteristic (peak of portfolio, low ebb) certainly.Because shortening successively of the accumulated time of PUE three grades statistics power consumption, its service period characteristic that the numerical value of PUE1 to PUE3 embodies is more and more stronger.
Its concrete mensuration process is as follows:
The first step configures corresponding energy consumption measurement point in the data center, adopts different access points at PUE1, PUE2, PUE3 etc.
In second step, in requiring measuring period, measure corresponding information technoloy equipment and consume power consumption, the total power consumption of data center.
In the 3rd step, the computing method of use PUE obtain PUE1, PUE2, PUE3.
Through actual checking, this aspect can also can be found out the point of penetration of server to be evaluated aspect efficiency optimization simultaneously according to the efficiency performance that comprehensively embodies server, for server design and improvement provide reference and guidance.
Except the described technical characterictic of instructions, be the known technology of those skilled in the art.
Claims (5)
1. the assay method of the energy use efficiency PUE of data center is characterized in that concrete measuring process is:
One, configures corresponding energy consumption measurement point in the data center, set different PUE according to varying environment, adopt different access points at different PUE;
Two, give the different PUE definition different measuring cycles, and in this measuring period, measure corresponding information technoloy equipment and consume power consumption, the total power consumption of data center;
Three, according to the computing method of PUE: electric energy service efficiency PUE=equipment total electricity consumption/information technoloy equipment power consumption obtains the value of different PUE.
2. the assay method of a kind of energy use efficiency PUE of data center according to claim 1, it is characterized in that: described PUE is divided into three kinds according to the environment difference, that is: PUE1, PUE2, PUE3, described PUE1, PUE2, PUE3 are basic calculation with the actual consumption electric energy all, and the IT load was based on continuous 12 months.
3. the assay method of a kind of energy use efficiency PUE of data center according to claim 2 is characterized in that: described PUE1 represents that by the whole electric energy that calculate ups system output wherein the measurement period of power consumption should be week in January to 1.
4. the assay method of a kind of energy use efficiency PUE of data center according to claim 2, it is characterized in that: described PUE2 represents by the whole power consumptions that calculate the output of power supply unit PDU system, and wherein the measurement period of power consumption should be 1 thoughtful several hours.
5. the assay method of a kind of energy use efficiency PUE of data center according to claim 2, it is characterized in that: described PUE3 is by measured that whole power consumption reading is represented at the linking point of information technoloy equipment and electric power system, should be with the measurement period of the method power consumption to be less than or equal to 15 minutes.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201310251010 CN103293424A (en) | 2013-06-24 | 2013-06-24 | Data center power usage efficiency (PUE) determination method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201310251010 CN103293424A (en) | 2013-06-24 | 2013-06-24 | Data center power usage efficiency (PUE) determination method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103293424A true CN103293424A (en) | 2013-09-11 |
Family
ID=49094634
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201310251010 Pending CN103293424A (en) | 2013-06-24 | 2013-06-24 | Data center power usage efficiency (PUE) determination method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103293424A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103678913A (en) * | 2013-12-13 | 2014-03-26 | 浪潮电子信息产业股份有限公司 | Method for evaluating energy use efficiency of data center |
| CN105823924A (en) * | 2015-01-06 | 2016-08-03 | 上海宽带技术及应用工程研究中心 | Integrated cabinet server energy efficiency testing circuit and method |
| CN105868076A (en) * | 2016-04-01 | 2016-08-17 | 浪潮电子信息产业股份有限公司 | Cluster power consumption control method base on intelligent PDU |
| CN106771747A (en) * | 2016-12-22 | 2017-05-31 | 无锡市工业设备安装有限公司 | A kind of method of small-sized consumption of data center analysis |
| CN110648077A (en) * | 2019-09-30 | 2020-01-03 | 深圳市英威腾电气股份有限公司 | Energy consumption monitoring method and device and data cloud platform |
-
2013
- 2013-06-24 CN CN 201310251010 patent/CN103293424A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103678913A (en) * | 2013-12-13 | 2014-03-26 | 浪潮电子信息产业股份有限公司 | Method for evaluating energy use efficiency of data center |
| CN105823924A (en) * | 2015-01-06 | 2016-08-03 | 上海宽带技术及应用工程研究中心 | Integrated cabinet server energy efficiency testing circuit and method |
| CN105868076A (en) * | 2016-04-01 | 2016-08-17 | 浪潮电子信息产业股份有限公司 | Cluster power consumption control method base on intelligent PDU |
| CN106771747A (en) * | 2016-12-22 | 2017-05-31 | 无锡市工业设备安装有限公司 | A kind of method of small-sized consumption of data center analysis |
| CN110648077A (en) * | 2019-09-30 | 2020-01-03 | 深圳市英威腾电气股份有限公司 | Energy consumption monitoring method and device and data cloud platform |
| CN110648077B (en) * | 2019-09-30 | 2022-12-16 | 深圳市英威腾电气股份有限公司 | Energy consumption monitoring method and device and data cloud platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103226736B (en) | Based on the long-medium term power load forecasting method of cluster analysis and grey target theory | |
| CN103293424A (en) | Data center power usage efficiency (PUE) determination method | |
| Xiong et al. | Research on an online identification algorithm for a thevenin battery model by an experimental approach | |
| CN108333423A (en) | Non-intrusion type residential power load testing method | |
| CN104280715B (en) | Gateway electric energy meter online monitoring system | |
| CN102608535A (en) | Method for pre-measuring volume of lithium ion battery | |
| CN103995962A (en) | Online real-time calculation and analysis method of equipped wire loss | |
| CN106569164A (en) | Method and system for synchronization testing of electric quantity of double-core electric energy meter | |
| Rossi et al. | Forecasting data centers power consumption with the Holt-Winters method | |
| CN101673363A (en) | Method and system for evaluating energy-consuming efficiency | |
| Shashank et al. | Power analysis of household appliances using IoT | |
| CN102013731A (en) | Energy consumption management method | |
| CN202210123U (en) | User electricity consumption information intelligent acquisition system | |
| CN101881995B (en) | Hierarchical classification power consumption measurement method for ARM instruction set | |
| CN103678913A (en) | Method for evaluating energy use efficiency of data center | |
| CN109741213A (en) | Zero energy consumption architectural energy consumption control method of one kind and system | |
| CN109655664A (en) | A kind of stealing intelligent diagnosing method and equipment based on load characteristic model library | |
| CN104655926A (en) | Embedded terminal capable of monitoring electricity utilization information and electric charge data and monitoring method thereof | |
| CN102929266A (en) | Energy-saving technology modification and water-saving project information management system for enterprises | |
| CN105488302A (en) | Energy saving amount measuring method for energy saving reconstruction of public building | |
| CN201904656U (en) | Energy consumption management system | |
| CN102914694B (en) | There is the intelligent electric meter of load measurement function | |
| Han et al. | Requirements analysis and application research of big data in power network dispatching and planning | |
| Bae et al. | The CAN communication application on the BMS | |
| Ferdowsi et al. | Integration of behind-the-meter solar into distribution feeders: The importance of time resolution on model results |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20130911 |