CN110413475B - Method and device for correcting server power consumption measured value - Google Patents
Method and device for correcting server power consumption measured value Download PDFInfo
- Publication number
- CN110413475B CN110413475B CN201910531505.3A CN201910531505A CN110413475B CN 110413475 B CN110413475 B CN 110413475B CN 201910531505 A CN201910531505 A CN 201910531505A CN 110413475 B CN110413475 B CN 110413475B
- Authority
- CN
- China
- Prior art keywords
- power consumption
- temperature
- sampling
- server
- test
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000005070 sampling Methods 0.000 claims abstract description 54
- 238000012360 testing method Methods 0.000 claims abstract description 37
- 238000012937 correction Methods 0.000 claims abstract description 34
- 238000005259 measurement Methods 0.000 claims description 18
- 230000007613 environmental effect Effects 0.000 claims description 8
- 238000010998 test method Methods 0.000 claims description 5
- 238000012935 Averaging Methods 0.000 claims description 2
- 230000008859 change Effects 0.000 claims description 2
- 230000000977 initiatory effect Effects 0.000 claims 2
- 238000004590 computer program Methods 0.000 description 10
- 230000006870 function Effects 0.000 description 7
- 238000010586 diagram Methods 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 230000001360 synchronised effect Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000000969 carrier Substances 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000017525 heat dissipation Effects 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3058—Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations
- G06F11/3062—Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations where the monitored property is the power consumption
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Theoretical Computer Science (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Power Sources (AREA)
- Debugging And Monitoring (AREA)
Abstract
The invention provides a method for correcting a server power consumption measured value, which comprises the following steps: setting a temperature test interval and a sampling interval for a server to be tested, and designating one sampling temperature as a standard temperature; starting a power consumption test program, changing the ambient temperature according to the sampling interval in a temperature test interval, and sequentially recording the power consumption values of the servers at the sampling temperatures; taking the ratio of the power consumption value measured at each sampling temperature to the power consumption value measured at the standard temperature as a power consumption correction factor of the sampling temperature; and correcting the actually measured server power consumption value through the power consumption correction factor at the corresponding temperature. By the method and the device, the influence of the ambient temperature on the power consumption of the server can be eliminated, and the performance of the server can be evaluated more accurately and objectively.
Description
Technical Field
The present invention relates to the field of computers, and more particularly, to a method and apparatus for correcting a server power consumption measurement.
Background
As servers, especially AI servers, gradually become the mainstream development direction of servers, the power consumption of servers is becoming a concern of users while the computing performance is greatly improved. For internet companies and communication carriers with many AI server applications, power consumption of the server means operation cost.
Currently, SPEC power has been used for a long time as a power consumption measurement technique recognized in the industry. Because the server mainly depends on the fan, the heat that electronic components dispersed is taken away in the air flow in the machine case, and when the ambient temperature that the server is located was higher, components and parts heat dissipation was slower, the temperature risees, can lead to the big increase of fan speed to further increase the consumption of complete machine. On the contrary, when the ambient temperature is lower, the power consumption of the whole machine is lower under the same performance. Since the test site and the test time are different, the ambient temperature of the server is different when the SPEC power test is performed. In this case, it is necessary to consider the influence of the ambient temperature in order to determine the level of the server power consumption based on the test result of SPEC power.
Disclosure of Invention
In view of this, an objective of the embodiments of the present invention is to provide a method for automatically calibrating a test result according to an ambient temperature, wherein a set of correction factor tables for comparing each ambient temperature with a standard ambient temperature power consumption value is calculated according to a large amount of test data and a test experience, so as to correct a server power consumption value measured at an actual ambient temperature, so as to determine the power consumption of a server.
In view of the foregoing, an aspect of the embodiments of the present invention provides a method for correcting a server power consumption measurement value, including the following steps:
setting a temperature test interval and a sampling interval for a server to be tested, and designating one sampling temperature as a standard temperature;
starting a power consumption test program, changing the ambient temperature according to the sampling interval in the temperature test interval, and sequentially recording the power consumption values of the servers at the sampling temperatures;
taking the ratio of the power consumption value measured at each sampling temperature to the power consumption value measured at the standard temperature as a power consumption correction factor of the sampling temperature; and
and correcting the actually measured server power consumption value through the power consumption correction factor at the corresponding temperature.
In some embodiments, the setting a temperature test interval and a sampling interval for the server under test, and designating one of the sampling temperatures as the standard temperature includes:
the method comprises the steps of setting the environmental temperature change range of a machine room where a server to be tested is actually located as a test interval, and setting a common environmental temperature value as a standard temperature.
In some embodiments, the power consumption test program is a standard SPEC power test program.
In some embodiments, the starting the power consumption testing program, changing the ambient temperature according to the sampling interval in the temperature testing interval, and sequentially recording the power consumption value of the server at each sampling temperature includes:
and running the SPEC power test program once, and sequentially increasing the CPU utilization rate from 0% to 100% according to the proportion of 10% to obtain a group of power consumption values at the sampling temperature.
In some embodiments, the starting the power consumption testing program, changing the ambient temperature according to the sampling interval in the temperature testing interval, and sequentially recording the power consumption value of the server at each sampling temperature includes:
and in the test interval, running the SPEC power test program for multiple times at each sampling temperature, and respectively averaging the components of multiple groups of measured power consumption values to obtain a group of power consumption values at each sampling temperature.
In some embodiments, said determining a ratio of the measured power consumption value at each sampled temperature to the measured power consumption value at the standard temperature as the power consumption correction factor for the sampled temperature comprises:
and dividing each component of a group of power consumption values measured at each sampling temperature by a corresponding component of a group of power consumption values measured at the standard temperature to obtain a group of power consumption correction factors, and counting all sampling temperatures and a group of power consumption correction factors corresponding to the sampling temperatures into a correction factor table.
In some embodiments, the correcting the actually measured server power consumption value by the power consumption correction factor at the corresponding temperature includes:
and dividing components in a set of power consumption values actually measured at the ambient temperature by a set of power consumption correction factors at the corresponding temperature in the correction factor table respectively to obtain a set of corrected power consumption values corresponding to the standard temperature.
In some embodiments, the temperature of the server air inlet is read by an external temperature sensor as the ambient temperature.
In some embodiments, the temperature collected by the temperature sensor on the server motherboard is taken as the ambient temperature.
Another aspect of the embodiments of the present invention provides an apparatus for correcting a server power consumption measurement value, including:
at least one processor; and
a memory storing program code executable by the processor, the program code implementing the method of any of the above when executed by the processor.
The invention has the following beneficial technical effects: the method and the device for correcting the power consumption measured value of the server provided by the embodiment of the invention can be used for counting a correction factor table of the power consumption value of each environment temperature compared with the standard environment temperature according to a large amount of test data and by combining with test experience, so that the power consumption value measured in the actual environment is corrected, the power consumption of the server is more comprehensively evaluated, and the performance of the server is further judged.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other embodiments can be obtained by using the drawings without creative efforts.
FIG. 1 is a schematic diagram of a method of correcting server power consumption measurements according to the present invention;
FIG. 2 is a flow diagram of an embodiment of a statistical power consumption correction factor according to a method of the present invention;
fig. 3 is a schematic diagram of a hardware structure of an apparatus for correcting a server power consumption measurement value according to an embodiment of the present invention.
Detailed Description
Embodiments of the present disclosure are described below. However, it is to be understood that the disclosed embodiments are merely examples and that other embodiments may take various and alternative forms. The figures are not necessarily to scale; certain features may be exaggerated or minimized to show details of particular components. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a representative basis for teaching one skilled in the art to variously employ the present invention. As one of ordinary skill in the art will appreciate, various features illustrated and described with reference to any one of the figures may be combined with features illustrated in one or more other figures to produce embodiments that are not explicitly illustrated or described. The combination of features shown provides a representative embodiment for a typical application. However, various combinations and modifications of the features consistent with the teachings of the present disclosure may be desirable for certain specific applications or implementations.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following embodiments of the present invention are described in further detail with reference to the accompanying drawings.
In view of the above object, an aspect of the embodiments of the present invention provides a method for correcting a server power consumption measurement value, as shown in fig. 1, including the following steps:
step S101: setting a temperature test interval and a sampling interval for a server to be tested, and designating one sampling temperature as a standard temperature;
step S102: starting a power consumption test program, changing the ambient temperature according to sampling intervals in a temperature test interval, and sequentially recording the power consumption values of the servers at the sampling temperatures;
step S103: taking the ratio of the power consumption value measured at each sampling temperature to the power consumption value measured at the standard temperature as a power consumption correction factor of the sampling temperature; and
step S104: and correcting the actually measured server power consumption value through the power consumption correction factor at the corresponding temperature.
In some embodiments, the temperature and its range of variation are first set for testing. In one embodiment, the test may be performed using a high and low temperature chamber. Setting the environmental temperature variation range of the machine room where the server to be tested is actually located as a test interval, setting a certain common environmental temperature value of the machine room as a standard temperature (for example, 26 ℃), and defining a sampling interval. For example, the temperature of a machine room varies from 20 ℃ to 35 ℃ throughout the year, so that the test interval can be set to 15 ℃ to 35 ℃, and the sampling interval can be set to 0.5 ℃, 1 ℃ and other suitable ranges according to actual conditions.
In some embodiments, the power consumption test program is the international standard SPEC power test program. SPEC power has been used for a long time now as a power consumption estimation method recognized in the industry. During the power consumption test of the server, a group of SPEC power scores of the tested server under different load pressure values can be obtained, namely a group of power consumption values are obtained. In one embodiment, the CPU utilization is used as the load pressure criterion, i.e., the SPEC power test program is run once, and the CPU utilization is sequentially increased from 0% to 100% by a ratio of 10%, to obtain a set of power consumption values at the sampling temperature.
In some embodiments, during a test interval, the SPEC power test procedure is run multiple times at each sampling temperature, and the components of the multiple sets of measured power consumption values are respectively averaged to obtain a set of power consumption values at each sampling temperature. For example, as shown in fig. 2, the SPEC power test program is run 3 times at each temperature point, and 3 sets of power consumption values at that temperature are obtained, where the 3 power consumption values at the same CPU utilization are sequentially averaged to obtain an average set of power consumption values at that temperature.
In some embodiments, each component of a set of power consumption values measured at each sampled temperature is divided by a corresponding component of a set of power consumption values measured at a standard temperature to obtain a set of power consumption correction factors, and all sampled temperatures and the set of power consumption correction factors corresponding thereto are tabulated as a table of correction factors.
In some embodiments, as shown in fig. 2, the correction factor for each temperature point may be verified, and the temperature points that do not meet the statistical rules may be retested and the correction factor calculated until all the temperature points are verified.
Then, the actually measured power consumption value of the server can be corrected by the power consumption correction factor at the corresponding temperature. And dividing components in a group of power consumption values actually measured at the ambient temperature by a group of power consumption correction factors at corresponding temperatures in the correction factor table respectively to obtain a group of corrected power consumption values corresponding to the standard temperature. Therefore, the overall power consumption of the server can be evaluated by using the corrected power consumption value of the server so as to further know the performance of the server.
In some embodiments, in an actual environment, the current ambient temperature is collected from time to time by an external sensor or a temperature sensor on the motherboard. For example, the temperature of the air inlet of the server is read by an external temperature sensor to be used as the current ambient temperature or the temperature collected by the temperature sensor on the server mainboard is used as the current ambient temperature.
Where technically feasible, the technical features listed above for different embodiments may be combined with each other or changed, added, omitted, etc. to form further embodiments within the scope of the invention.
It can be seen from the foregoing embodiments that the method for correcting a server power consumption measurement value according to the embodiments of the present invention can calculate a correction factor table of power consumption values of each environmental temperature compared with a standard environmental temperature according to a large amount of test data and by combining with test experience, and continuously correct and accurately correct the power consumption value measured in an actual environment, so as to more accurately and objectively evaluate the power consumption of the server, and further determine the performance of the server.
In view of the above object, according to another aspect of the embodiments of the present invention, an embodiment of an apparatus for correcting a server power consumption measurement value is provided.
The device for correcting the server power consumption measured value comprises a memory and at least one processor, wherein the memory stores a computer program capable of running on the processor, and the processor executes any one of the methods when executing the computer program.
Fig. 3 is a schematic diagram of a hardware structure of an embodiment of the apparatus for correcting a server power consumption measurement value according to the present invention.
Taking the computer device shown in fig. 3 as an example, the computer device includes a processor 301 and a memory 302, and may further include: an input device 303 and an output device 304.
The processor 301, the memory 302, the input device 303 and the output device 304 may be connected by a bus or other means, and fig. 3 illustrates the connection by a bus as an example.
The memory 302 is a non-volatile computer-readable storage medium, and can be used for storing non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules corresponding to the method for correcting the server power consumption measurement value in the embodiment of the present application. The processor 301 executes various functional applications of the server and data processing by running nonvolatile software programs, instructions and modules stored in the memory 302, namely, implements the method for correcting the server power consumption measurement value of the above method embodiment.
The memory 302 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to a method of correcting a server power consumption measurement value, and the like. Further, the memory 302 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, memory 302 optionally includes memory located remotely from processor 301, which may be connected to a local module via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 303 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the computer device of the method of correcting the server power consumption measurement value. The output means 304 may comprise a display device such as a display screen.
Program instructions/modules corresponding to the one or more methods of correcting server power consumption measurements are stored in the memory 302 and, when executed by the processor 301, perform the method of correcting server power consumption measurements in any of the method embodiments described above.
Any embodiment of the computer device executing the method for correcting the server power consumption measurement value can achieve the same or similar effects as any corresponding method embodiment.
Finally, it should be noted that, as understood by those skilled in the art, all or part of the processes in the methods of the embodiments described above may be implemented by instructing relevant hardware by a computer program, where the computer program may be stored in a computer-readable storage medium, and when executed, the computer program may include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), or a Random Access Memory (RAM).
In addition, the apparatuses, devices and the like disclosed in the embodiments of the present invention may be various electronic terminal devices, such as a mobile phone, a Personal Digital Assistant (PDA), a tablet computer (PAD), a smart television and the like, or may be a large terminal device, such as a server and the like, and therefore the scope of protection disclosed in the embodiments of the present invention should not be limited to a specific type of apparatus, device. The client disclosed in the embodiment of the present invention may be applied to any one of the above electronic terminal devices in the form of electronic hardware, computer software, or a combination of both.
Furthermore, the method disclosed according to an embodiment of the present invention may also be implemented as a computer program executed by a CPU, and the computer program may be stored in a computer-readable storage medium. The computer program, when executed by the CPU, performs the functions defined above in the methods disclosed in the embodiments of the present invention.
Further, the above method steps and system elements may also be implemented using a controller and a computer readable storage medium for storing a computer program for causing the controller to implement the functions of the above steps or elements.
Further, it should be appreciated that the computer-readable storage media (e.g., memory) described herein can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. By way of example, and not limitation, nonvolatile memory can include Read Only Memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM), which can act as external cache memory. By way of example and not limitation, RAM is available in a variety of forms such as synchronous RAM (DRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The storage devices of the disclosed aspects are intended to comprise, without being limited to, these and other suitable types of memory.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as software or hardware depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosed embodiments of the present invention.
The various illustrative logical blocks, modules, and circuits described in connection with the disclosure herein may be implemented or performed with the following components designed to perform the functions described herein: a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination of these components. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP, and/or any other such configuration.
The steps of a method or algorithm described in connection with the disclosure herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.
In one or more exemplary designs, the functions may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a general-purpose or special-purpose computer, or a general-purpose or special-purpose processor. Also, any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk and disc, as used herein, includes Compact Disc (CD), laser disc, optical disc, Digital Versatile Disc (DVD), floppy disk, blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.
It should be understood that, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly supports the exception. It should also be understood that "and/or" as used herein is meant to include any and all possible combinations of one or more of the associated listed items.
The numbers of the embodiments disclosed in the embodiments of the present invention are merely for description, and do not represent the merits of the embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the storage medium may be a read-only memory, a magnetic disk, an optical disk, or the like.
The above-described embodiments are possible examples of implementations and are presented merely for a clear understanding of the principles of the invention. Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, of embodiments of the invention is limited to these examples; within the idea of an embodiment of the invention, also technical features in the above embodiment or in different embodiments may be combined and there are many other variations of the different aspects of an embodiment of the invention as described above, which are not provided in detail for the sake of brevity. Therefore, any omissions, modifications, substitutions, improvements, and the like that may be made without departing from the spirit and principles of the embodiments of the present invention are intended to be included within the scope of the embodiments of the present invention.
Claims (9)
1. A method of correcting server power consumption measurements, comprising the steps of:
setting a temperature test interval and a sampling interval for a server to be tested, and designating one sampling temperature as a standard temperature;
starting a power consumption test program, changing the ambient temperature according to the sampling interval in the temperature test interval, and sequentially recording the power consumption values of the servers at the sampling temperatures;
taking the ratio of the power consumption value measured at each sampling temperature to the power consumption value measured at the standard temperature as a power consumption correction factor of the sampling temperature; and
correcting the actually measured server power consumption value through the power consumption correction factor at the corresponding temperature;
wherein, the correcting the actually measured server power consumption value by the power consumption correction factor at the corresponding temperature comprises:
and dividing the components in the group of power consumption values actually measured at the ambient temperature by a group of power consumption correction factors at the corresponding temperature in the correction factor table respectively to obtain a corrected group of power consumption values corresponding to the standard temperature.
2. The method of claim 1, wherein the setting of the temperature test interval and the sampling interval for the server under test and the designating of one of the sampled temperatures as the standard temperature comprises:
the method comprises the steps of setting the environmental temperature change range of a machine room where a server to be tested is actually located as a test interval, and setting a common environmental temperature value as a standard temperature.
3. The method of claim 1, wherein the power consumption test procedure is a standard SPEC power test procedure.
4. The method of claim 3, wherein the initiating a power consumption test procedure, changing the ambient temperature according to the sampling interval within the temperature test interval, and sequentially recording the server power consumption values at the sampling temperatures comprises:
and operating the SPEC power test program, and sequentially increasing the CPU utilization rate from 0% to 100% according to the proportion of 10% to obtain a group of power consumption values at the sampling temperature.
5. The method of claim 4, wherein the initiating a power consumption test procedure, changing the ambient temperature according to the sampling interval within the temperature test interval, and sequentially recording the server power consumption values at the sampling temperatures comprises:
and in the test interval, running the SPEC power test program for multiple times at each sampling temperature, and respectively averaging the components of multiple groups of measured power consumption values to obtain a group of power consumption values at the sampling temperature.
6. The method of claim 5, wherein the using the ratio of the power consumption value measured at each sampling temperature to the power consumption value measured at the standard temperature as the power consumption correction factor for the sampling temperature comprises:
and dividing each component of a group of power consumption values measured at each sampling temperature by a corresponding component of a group of power consumption values measured at the standard temperature to obtain a group of power consumption correction factors, and counting all sampling temperatures and a group of power consumption correction factors corresponding to the sampling temperatures into a correction factor table.
7. The method of claim 1, wherein the ambient temperature is read by an external temperature sensor from a server air inlet.
8. The method according to claim 1, wherein the ambient temperature is taken as a temperature collected by a temperature sensor on a server motherboard.
9. An apparatus for correcting server power consumption measurements, comprising:
at least one processor; and
a memory storing program code executable by the processor, the program code implementing the method of any one of claims 1-8 when executed by the processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910531505.3A CN110413475B (en) | 2019-06-19 | 2019-06-19 | Method and device for correcting server power consumption measured value |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910531505.3A CN110413475B (en) | 2019-06-19 | 2019-06-19 | Method and device for correcting server power consumption measured value |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110413475A CN110413475A (en) | 2019-11-05 |
| CN110413475B true CN110413475B (en) | 2022-08-19 |
Family
ID=68359287
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910531505.3A Active CN110413475B (en) | 2019-06-19 | 2019-06-19 | Method and device for correcting server power consumption measured value |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110413475B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111176919B (en) * | 2019-12-29 | 2022-08-12 | 苏州浪潮智能科技有限公司 | FPGA test method, device and storage medium |
| CN112255298A (en) * | 2020-09-29 | 2021-01-22 | 广州香安化工有限公司 | Sensitivity calibration system and method for gas odorous agent concentration measurement sensor |
| CN113608953B (en) * | 2021-06-28 | 2023-06-20 | 苏州浪潮智能科技有限公司 | Test data generation method and device, electronic equipment and readable storage medium |
| CN114463330B (en) * | 2022-04-12 | 2022-07-01 | 江苏康医通科技有限公司 | CT data collection system, method and storage medium |
| CN115951249B (en) * | 2023-02-16 | 2023-08-18 | 航科院中宇（北京）新技术发展有限公司 | Battery state monitoring method, system, electronic equipment and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103293410A (en) * | 2013-04-28 | 2013-09-11 | 北京百度网讯科技有限公司 | Method and device for detecting server power consumption |
| CN106855836A (en) * | 2015-12-09 | 2017-06-16 | 中国电信股份有限公司 | Computer power consumption test method and device |
-
2019
- 2019-06-19 CN CN201910531505.3A patent/CN110413475B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103293410A (en) * | 2013-04-28 | 2013-09-11 | 北京百度网讯科技有限公司 | Method and device for detecting server power consumption |
| CN106855836A (en) * | 2015-12-09 | 2017-06-16 | 中国电信股份有限公司 | Computer power consumption test method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110413475A (en) | 2019-11-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110413475B (en) | Method and device for correcting server power consumption measured value | |
| CN107449521B (en) | Temperature compensation method, terminal device and computer readable storage medium | |
| US20170187737A1 (en) | Method and electronic device for processing user behavior data | |
| CN111090319B (en) | Method, device and medium for controlling server fan based on thermistor | |
| CN107729227B (en) | Application program test range determining method, system, server and storage medium | |
| US9369474B2 (en) | Analytics data validation | |
| JP2009301548A (en) | Technique to establish trust of web page to prevent malware redirect from web search or hyperlink | |
| JP7285187B2 (en) | System and method for anomaly characterization based on joint analysis of history and time series | |
| CN108366012B (en) | Social relationship establishing method and device and electronic equipment | |
| US11733293B2 (en) | Method and apparatus for determining jitter, storage medium and electronic device | |
| CN110674003A (en) | Early warning method and device for server hardware and storage medium | |
| US20200334358A1 (en) | Method for detecting computer virus, computing device, and storage medium | |
| CN110245432B (en) | Circuit unit characterization method, data storage method, access method and processing system | |
| CN111562884A (en) | Data storage method and device and electronic equipment | |
| CN109359346B (en) | Thermal load prediction method and device, readable medium and electronic equipment | |
| US11438994B2 (en) | Filament current control method and apparatus | |
| CN111078497A (en) | Data storage method, equipment and storage medium of BMC (baseboard management controller) | |
| CN108540632B (en) | OTA (over the air) test method and device and intelligent terminal | |
| CN111221715A (en) | Method, system, device and medium for dynamically optimizing Caffe performance | |
| KR20180067635A (en) | Information disclosure method, information disclosure device and storage medium | |
| CN108334775B (en) | Method and device for detecting jail-crossing plug-in | |
| CN107562790B (en) | Method and system for realizing batch warehousing of data processing | |
| CN110865931A (en) | Simulation method, simulation device, electronic device, and storage medium | |
| CN113051569B (en) | Virus detection method and device, electronic equipment and storage medium | |
| WO2019062067A1 (en) | User interface unit test method and apparatus, readable storage medium and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |