CN111124807B - Server power measurement method and system - Google Patents
Server power measurement method and system Download PDFInfo
- Publication number
- CN111124807B CN111124807B CN201911199632.4A CN201911199632A CN111124807B CN 111124807 B CN111124807 B CN 111124807B CN 201911199632 A CN201911199632 A CN 201911199632A CN 111124807 B CN111124807 B CN 111124807B
- Authority
- CN
- China
- Prior art keywords
- test
- module
- server
- celery
- task
- 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
- 238000000691 measurement method Methods 0.000 title claims description 13
- 238000012360 testing method Methods 0.000 claims abstract description 99
- 238000000034 method Methods 0.000 claims abstract description 59
- 240000007087 Apium graveolens Species 0.000 claims abstract description 49
- 235000015849 Apium graveolens Dulce Group Nutrition 0.000 claims abstract description 49
- 235000010591 Appio Nutrition 0.000 claims abstract description 49
- 230000008569 process Effects 0.000 claims abstract description 48
- 238000005259 measurement Methods 0.000 claims abstract description 20
- 238000001514 detection method Methods 0.000 claims abstract description 18
- 238000007726 management method Methods 0.000 claims description 44
- 238000012544 monitoring process Methods 0.000 claims description 42
- 230000008676 import Effects 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 238000013500 data storage Methods 0.000 claims description 3
- 238000009434 installation Methods 0.000 claims description 3
- 230000002452 interceptive effect Effects 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000006872 improvement Effects 0.000 description 4
- 238000013515 script Methods 0.000 description 4
- 239000011324 bead Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 238000006467 substitution reaction 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
-
- 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)
- Theoretical Computer Science (AREA)
- Software Systems (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computing Systems (AREA)
- Quality & Reliability (AREA)
- Human Computer Interaction (AREA)
- Debugging And Monitoring (AREA)
Abstract
The invention relates to the technical field of server testing, and provides a server power measuring method and a system, wherein the method comprises the following steps: importing a configuration parameter file of a machine type to be tested into a pre-established web server; after the configuration parameter file of the model to be tested is imported, configuring a test server and test time; scheduling a process Beat by a queue management tool Celery, and executing a power test task through a pre-installed IPMITOOL command; when the test time reaches the cut-to time, the queue management tool Celery scheduling process Beat terminates the detection task allocation, so that the automatic, long-time and high-concurrency test of the power measurement of the server is realized by using an open source distributed tool Redis + Celery and taking a Web front-end friendly interactive interface as an entrance, a large amount of time consumed by manual or single-machine test of personnel is saved, the test threshold is obviously reduced, and the test efficiency is greatly improved.
Description
Technical Field
The invention belongs to the technical field of server testing, and particularly relates to a server power measuring method and system.
Background
With the arrival of the internet + era, the server industry rises rapidly, and as a server product provider, a server needs to strictly monitor the quality of a product in both a research and development stage and a production stage, so that the stability of the product is strictly ensured. The power measurement is a common test item in server test, and is an all-round measurement and monitoring of power, current, voltage and temperature of the whole server and each component, while the existing power measurement method mostly sends an instruction to the BMC through an IPMITOOL tool to read data in a circulating manner. There are two methods for power measurement of current server product projects:
the first method comprises the following steps: testers manually write an executable sheet script (Linux) or a bat batch file (Windows), acquire power measurement data by executing the script in a server and output the data into a text, and then manually generate a test report.
And the second method comprises the following steps: the tester measures the power data of the server itself by installing some existing automated testing tools in the server, and manually generates a test report.
However, in the current mainstream power measurement scheme, manually writing scripts or existing automation tools cannot support the test requirements of long time (for example, continuous test for more than one week), high precision and high concurrency (for example, testing multiple servers simultaneously), and most existing automation tools install exe files in Windows, and cannot realize the compatibility configuration and free monitoring time configuration of multiple types of test servers through a friendly interactive interface of a B/S architecture.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a server power measurement method, aiming at solving the problems that in the existing mainstream power measurement scheme in the prior art, manually written scripts or existing automation tools cannot support the test requirements of long time, high precision, high concurrency and the like, and most existing automation tools are used for installing exe files in Windows and cannot realize the compatibility configuration and the free configuration of monitoring time of various types of test servers through a friendly interaction interface of a B/S framework.
The technical scheme provided by the invention is as follows: a server power measurement method, the method comprising the steps of:
importing a configuration parameter file of a machine type to be tested into a pre-established web server;
after importing the configuration parameter file of the model to be tested, configuring a test server and test time;
scheduling a process Beat by a queue management tool Celery, and executing a power test task through a pre-installed IPMITOOL command;
when the test time reaches the expiration time, the queue management tool battery scheduling process Beat terminates the detection task allocation.
As a refinement, the method further comprises the following steps:
building a Web server realized by Python, and installing an IPMITOOL tool package, redis and Celery services in the built Web server;
and generating a configuration parameter file of the model to be tested, and providing an interface comprising a parameter file import interface and a Web operation interface for test configuration by building a Web server.
As an improved scheme, the step of scheduling, by the queue management tool, the process Beat and performing the power test task execution through the preinstalled IPMITOOL command specifically includes the following steps:
receiving a monitoring task starting instruction input by an operator;
when the monitoring task starting instruction is received, the queue management tool Celery issues a monitoring task to a Redis queue through the scheduling process Beat;
the working process of the queue management tool Celery adopts a competition mode to acquire the monitoring task from the Redis queue;
acquiring parameters carried in the monitoring task to acquire configuration parameters of a machine type to be tested, and organizing a pre-installed IPMITOOL command to send the acquired configuration parameters of the machine type to be tested to a BMC;
and acquiring the hexadecimal data fed back by the BMC, converting the hexadecimal data into decimal data, and storing the decimal data into a database.
As an improved scheme, after the step of scheduling the process Beat by the queue management tool battery and executing the power test task through the preinstalled IPMITOOL command; when the test is up, the step of terminating the detection task allocation by the queue management tool battery scheduling process Beat further comprises the following steps:
when the power test task is started to be executed, starting a timer to time;
and judging whether the test time reaches the time of interception, if so, terminating the detection task allocation by the queue management tool Celery scheduling process Beat, and otherwise, continuing timing.
As an improvement, the method further comprises the steps of:
and displaying the acquired decimal data on the Web operation interface in a real-time dynamic display mode.
It is another object of the present invention to provide a server power measurement system, the system comprising:
the configuration parameter file importing module is used for importing the configuration parameter file of the model to be tested into a pre-established web server;
the configuration module is used for configuring the test server and the test time after the configuration parameter file of the model to be tested is imported;
the test task execution module is used for scheduling a process Beat by a queue management tool Celery and executing a power test task through a pre-installed IPMITOOL command;
and the termination module is used for terminating the detection task allocation by the queue management tool Celery scheduling process Beat when the test time reaches the deadline.
As an improvement, the system further comprises:
the Web server building module is used for building a Web server realized by Python;
the installation module is used for installing an IPMITOOL tool kit, redis and Celery services in the built Web server;
the configuration parameter file generation module is used for generating a configuration parameter file of the model to be tested;
and the interface providing module is used for providing an interface comprising a parameter file importing interface and a Web operation interface of test configuration by building a Web server.
As an improved scheme, the test task execution module specifically includes:
the monitoring task instruction receiving module is used for receiving a monitoring task starting instruction input by an operator;
the monitoring task issuing module is used for issuing a monitoring task to a Redis queue by a queue management tool Celery through the scheduling process Beat when the monitoring task starting instruction is received;
a monitoring task obtaining module, configured to obtain the monitoring task from the Redis queue by using a contention mode in a work process of the queue management tool Celery;
the configuration parameter acquisition module is used for acquiring parameters in the monitoring task to acquire configuration parameters of the model to be tested;
the configuration parameter sending module is used for organizing a preinstalled IPMITOOL command to send the acquired configuration parameters of the model to be tested to the BMC;
the data feedback processing module is used for acquiring hexadecimal data fed back by the BMC and converting the hexadecimal data into decimal data;
a decimal data storage module for storing the decimal data into a database.
As an improvement, the system further comprises:
the timing module is used for starting a timer to time when the power test task is started to be executed;
and the judging module is used for judging whether the test time reaches the arrival time, if so, the queue management tool Celery scheduling process Beat terminates the detection task allocation, and otherwise, the timing is continued.
As an improvement, the system further comprises:
and the dynamic display module is used for displaying the acquired decimal data on the Web operation interface in a real-time dynamic display mode.
In the embodiment of the invention, the configuration parameter file of the model to be tested is imported into a pre-established web server; after the configuration parameter file of the model to be tested is imported, configuring a test server and test time; scheduling a process Beat by a queue management tool Celery, and executing a power test task through a preinstalled IPMITOOL command; when the test time reaches the cut-to time, the queue management tool Celery scheduling process Beat terminates the detection task allocation, so that the automatic, long-time and high-concurrency test of the power measurement of the server is realized by using an open-source distributed tool Redis + Celery and taking a Web front-end friendly interactive interface as an entrance, a large amount of time consumed by manual or single-machine test of personnel is saved, the test threshold is obviously reduced, and the test efficiency is greatly improved.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
FIG. 1 is a flow chart of an implementation of a server power measurement method provided by the present invention;
FIG. 2 is a flow chart of the implementation of scheduling process Beat by the queue management tool Celery and executing the power test task through the preinstalled IPMITOOL command according to the present invention;
FIG. 3 is a block diagram of a server power measurement system provided by the present invention;
FIG. 4 is a block diagram of a test task execution module according to the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only used as examples, and the protection scope of the present invention is not limited thereby.
Fig. 1 is a flowchart of an implementation of a server power measurement method provided by the present invention, which specifically includes the following steps:
in step S101, importing a configuration parameter file of a model to be tested into a pre-established web server;
in step S102, after the configuration parameter file of the model to be tested is imported, the test server and the test time are configured;
in this step, when the configuration is completed, an auto-polling task (tasks) will be automatically added to Celery.
In step S103, scheduling the process Beat by the queue management tool Celery, and performing power test task execution through a preinstalled IPMITOOL command;
in step S104, when the test time reaches the expiration time, the queue management tool battery scheduling process Beat terminates the detection task allocation.
In the embodiment, a high-level programming language such as Python and the like rely on open source distributed tools such as Redis + Celery and the like, and an IPMITOOL command is used for realizing an automatic, long-time and high-concurrency server power quantity measuring software program.
In this embodiment, before executing the step S101, the following steps are further included:
building a Web server realized by Python, and installing an IPMITOOL tool kit, redis and Celery services in the built Web server;
generating a configuration parameter file of a model to be tested, and providing an interface comprising a parameter file import interface and a Web operation interface for test configuration by constructing a Web server;
the configuration parameters include a component name, an I2C address, a data format, and the like, and the configuration parameter file is a conventional file content and is not described herein again.
In this embodiment, said process bet is scheduled by the queue management tool, celery, and the step of performing the power test task execution is performed by a preinstalled IPMITOOL command; when the test is up, the step of terminating the detection task allocation by the queue management tool battery scheduling process Beat further comprises the following steps:
when the power test task is started to be executed, starting a timer to time;
and judging whether the test time reaches an arrival time, if so, terminating the detection task allocation by the queue management tool Celery scheduling process Beat, otherwise, continuing timing, wherein the arrival time is the preset test time and is calculated in seconds.
In the embodiment of the present invention, as shown in fig. 2, the step of scheduling the process Beat by the queue management tool battery and executing the power test task through the preinstalled IPMITOOL command specifically includes the following steps:
in step S201, a monitoring task start instruction input by an operator is received.
In step S202, when receiving the start monitoring task instruction, the queue management tool Celery issues a monitoring task to the Redis queue through the scheduling process Beat.
In step S203, the work processes (Workers, multi-process mode) of the queue management tool battery acquire the monitoring task from the Redis queue by using a competition mode.
In step S204, the parameters of the monitoring task are obtained to obtain the configuration parameters of the model to be tested, and a pre-installed IPMITOOL command is organized to send the obtained configuration parameters of the model to be tested to the BMC.
In step S205, the hexadecimal data fed back by the BMC is acquired, converted into decimal data, and stored in a database.
In this embodiment, the obtained decimal data is displayed on the Web operation interface in a real-time dynamic display manner;
of course, the measured data can also be downloaded locally for subsequent secondary processing of the data.
In the embodiment of the invention, based on a power measurement method of Python + Redis + Celery + IPMITOOL, through a Web site realized by Python, testers import parameter information of a machine type to be tested on line and configure a test server (including information such as BMC address and polling interval time), a software system automatically adds a timing task to the Celery and distributes the task to a queue of the Redis through a scheduling process Beat of the Celery, a work process worker of the Celery automatically acquires the task from the Redis queue and automatically organizes an IPMITOOL command to send an instruction to a specified BMC, acquires power measurement data, and automatically analyzes the acquired hexadecimal data into decimal data and stores the decimal data into a Mysql database. The long-time and high-concurrency test is realized through the Celery + Redis, so that the efficiency of power measurement is greatly improved.
Fig. 3 is a block diagram of a server power measurement system provided in the present invention, and for convenience of description, only the parts related to the embodiment of the present invention are shown in the diagram.
The server power measurement system includes:
the configuration parameter file importing module 11 is used for importing the configuration parameter file of the model to be tested into a pre-established web server;
the configuration module 12 is used for configuring the test server and the test time after the configuration parameter file of the model to be tested is imported;
the test task execution module 13 is used for scheduling a process Beat by a queue management tool Celery and executing a power test task through a preinstalled IPMITOOL command;
and a termination module 14, configured to terminate the detection task allocation by the queue management tool battery scheduling process Beat when the test time reaches the expiration time.
In an embodiment of the present invention, the system further includes:
a Web server building module 15, configured to build a Web server implemented by Python;
the installation module 16 is used for installing an IPMITOOL toolkit, redis and Celery services in the built Web server;
a configuration parameter file generating module 17, configured to generate a configuration parameter file of the model to be tested;
and the interface providing module 18 is used for providing an interface comprising a parameter file importing interface and a Web operation interface of test configuration by building a Web server.
In the embodiment of the present invention, as shown in fig. 4, the test task execution module 13 specifically includes:
a monitoring task instruction receiving module 19, configured to receive a monitoring task starting instruction input by an operator;
the monitoring task issuing module 20 is configured to, when receiving the monitoring task starting instruction, issue a monitoring task to a Redis queue by the queue management tool Celery through the scheduling process bead;
a monitoring task obtaining module 21, configured to obtain the monitoring task from the Redis queue by using a contention mode in a work process of the queue management tool Celery;
a configuration parameter obtaining module 22, configured to obtain parameters carried in the monitoring task to obtain configuration parameters of the model to be tested;
the configuration parameter sending module 23 is configured to organize a preinstalled IPMITOOL command to send the acquired configuration parameter of the model to be tested to the BMC;
the data feedback processing module 24 is configured to obtain hexadecimal data fed back by the BMC and convert the hexadecimal data into decimal data;
a decimal data storage module 25 for storing the decimal data into a database.
Referring to fig. 3, the timing module 26 is configured to start a timer to perform timing when the power test task is started;
and a judging module 27, configured to judge whether the test time reaches the arrival time, if yes, terminate the detection task allocation in the queue management tool battery scheduling process Beat, and otherwise, continue timing.
In this embodiment, as shown in fig. 4, the system further includes:
and the dynamic display module 28 is configured to display the acquired decimal data on the Web operation interface in a real-time dynamic display manner.
In the embodiment of the invention, the configuration parameter file of the model to be tested is imported into a pre-established web server; after the configuration parameter file of the model to be tested is imported, configuring a test server and test time; scheduling a process Beat by a queue management tool Celery, and executing a power test task through a preinstalled IPMITOOL command; when the test time reaches the cut-to time, the queue management tool Celery scheduling process Beat terminates the detection task allocation, so that the automatic, long-time and high-concurrency test of the power measurement of the server is realized by using an open source distributed tool Redis + Celery and taking a Web front-end friendly interactive interface as an entrance, a large amount of time consumed by manual or single-machine test of personnel is saved, the test threshold is obviously reduced, and the test efficiency is greatly improved.
The above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being covered by the appended claims and their equivalents.
Claims (10)
1. A server power measurement method, characterized in that the method comprises the steps of:
importing a configuration parameter file of a machine type to be tested into a pre-established web server;
after the configuration parameter file of the model to be tested is imported, configuring a test server and test time;
scheduling a process Beat by a queue management tool Celery, and executing a power test task through a pre-installed IPMITOOL command;
when the test time reaches the expiration time, the queue management tool battery scheduling process Beat terminates the detection task allocation.
2. The server power measurement method of claim 1, further comprising the steps of:
building a Web server realized by Python, and installing an IPMITOOL tool kit, redis and Celery services in the built Web server;
and generating a configuration parameter file of the model to be tested, and providing an interface comprising a parameter file import interface and a Web operation interface for test configuration by building a Web server.
3. The server power measurement method according to claim 2, wherein the step of scheduling, by the queue management tool, the process Beat and performing the power test task by the preinstalled IPMITOOL command specifically comprises the steps of:
receiving a monitoring task starting instruction input by an operator;
when receiving the monitoring task starting instruction, the queue management tool Celery issues a monitoring task to a Redis queue through the scheduling process Beat;
the working process of the queue management tool Celery acquires the monitoring task from the Redis queue by adopting a competition mode;
acquiring parameters carried in the monitoring task to acquire configuration parameters of a machine type to be tested, and organizing a pre-installed IPMITOOL command to send the acquired configuration parameters of the machine type to be tested to a BMC;
and acquiring hexadecimal data fed back by the BMC, converting the hexadecimal data into decimal data, and storing the decimal data into a database.
4. The server power measurement method according to claim 3, wherein the step of scheduling a process Beat by a queue management tool, celery, and performing power test task execution by a preinstalled IPMITOOL command is followed; the step of terminating the detection task allocation by the queue management tool battery scheduling process Beat when the test arrival time is up further comprises the following steps:
when the power test task is started to be executed, starting a timer to time;
and judging whether the test time reaches the time of interception, if so, terminating the detection task allocation by the queue management tool Celery scheduling process Beat, and otherwise, continuing timing.
5. The server power measurement method of claim 4, further comprising the steps of:
and displaying the acquired decimal data on the Web operation interface in a real-time dynamic display mode.
6. A server power measurement system, the system comprising:
the configuration parameter file importing module is used for importing the configuration parameter file of the model to be tested into a pre-established web server;
the configuration module is used for configuring the test server and the test time after importing the configuration parameter file of the model to be tested;
the test task execution module is used for scheduling a process Beat by a queue management tool Celery and executing a power test task through a pre-installed IPMITOOL command;
and the termination module is used for terminating the detection task allocation by the queue management tool Celery scheduling process Beat when the test time reaches the deadline.
7. The server power measurement system of claim 6, further comprising:
the Web server building module is used for building a Web server realized by Python;
the installation module is used for installing an IPMITOOL tool kit, redis and Celery services in the built Web server;
the configuration parameter file generation module is used for generating a configuration parameter file of the model to be tested;
and the interface providing module is used for providing an interface comprising a parameter file importing interface and a Web operation interface of test configuration by building a Web server.
8. The server power measurement system of claim 7, wherein the test task execution module specifically comprises:
the monitoring task instruction receiving module is used for receiving a monitoring task starting instruction input by an operator;
the monitoring task issuing module is used for issuing a monitoring task to a Redis queue by a queue management tool Celery through the scheduling process Beat when the monitoring task starting instruction is received;
a monitoring task obtaining module, configured to obtain the monitoring task from the Redis queue by using a contention mode in a work process of the queue management tool Celery;
the configuration parameter acquisition module is used for acquiring parameters carried in the monitoring task to acquire configuration parameters of the model to be tested;
the configuration parameter sending module is used for organizing a pre-installed IPMITOOL command to send the acquired configuration parameters of the model to be tested to the BMC;
the data feedback processing module is used for acquiring the hexadecimal data fed back by the BMC and converting the hexadecimal data into decimal data;
a decimal data storage module for storing the decimal data into a database.
9. The server power measurement system of claim 8, further comprising:
the timing module is used for starting a timer to time when the power test task is started to be executed;
and the judging module is used for judging whether the test time reaches the arrival time, if so, the queue management tool Celery scheduling process Beat terminates the detection task allocation, and otherwise, the timing is continued.
10. The server power measurement system of claim 9, further comprising:
and the dynamic display module is used for displaying the acquired decimal data on the Web operation interface in a real-time dynamic display mode.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911199632.4A CN111124807B (en) | 2019-11-29 | 2019-11-29 | Server power measurement method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911199632.4A CN111124807B (en) | 2019-11-29 | 2019-11-29 | Server power measurement method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111124807A CN111124807A (en) | 2020-05-08 |
| CN111124807B true CN111124807B (en) | 2022-10-14 |
Family
ID=70497080
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911199632.4A Active CN111124807B (en) | 2019-11-29 | 2019-11-29 | Server power measurement method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111124807B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112527577B (en) * | 2020-11-27 | 2022-07-12 | 苏州浪潮智能科技有限公司 | Server energy consumption automatic testing and collecting method, system and medium |
| CN112818411A (en) * | 2021-01-22 | 2021-05-18 | 深圳市今日投资数据科技有限公司 | Data detection method and device |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107577599A (en) * | 2017-08-21 | 2018-01-12 | 同程网络科技股份有限公司 | A kind of automatic interface testing method and platform based on custom script |
| CN110460476A (en) * | 2019-08-23 | 2019-11-15 | 福建广电网络集团股份有限公司 | A kind of network O&M management method |
-
2019
- 2019-11-29 CN CN201911199632.4A patent/CN111124807B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107577599A (en) * | 2017-08-21 | 2018-01-12 | 同程网络科技股份有限公司 | A kind of automatic interface testing method and platform based on custom script |
| CN110460476A (en) * | 2019-08-23 | 2019-11-15 | 福建广电网络集团股份有限公司 | A kind of network O&M management method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111124807A (en) | 2020-05-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108446190B (en) | Interface test method and device | |
| CN107861871B (en) | Gray scale publishing method, device, server and storage medium | |
| CN111124807B (en) | Server power measurement method and system | |
| EP3101547A1 (en) | Control system, method, program and information processing device | |
| CN108509344B (en) | Daily cutting batch test method, equipment and readable storage medium | |
| CN104246702A (en) | Workflow compilation | |
| CN104360922A (en) | Method for automatically monitoring BMC working state based on ipmitool | |
| CN106407100A (en) | Method and apparatus for realizing continuous integration testing | |
| CN110908915A (en) | Test coverage rate display method and device and computer system | |
| CN110851361A (en) | Interface testing method and device, electronic equipment and readable storage medium | |
| CN111142469B (en) | Debugging method and debugging system for PLC configuration program | |
| CN113127486A (en) | Information collection and storage method, device, equipment and storage medium | |
| US8051048B2 (en) | System and method for automated transfer and evaluation of the quality of mass data of a technical process or a technical project | |
| CN111277425B (en) | Centralized data transmission management device | |
| US20120046773A1 (en) | Mold design system and method | |
| CN108710692A (en) | A kind of automobile part production line test system and method | |
| CN115827469A (en) | Project test management method and system | |
| CN116089270A (en) | Layered test system, layered test method and layered test medium | |
| CN111190725B (en) | Task processing method, device, storage medium and server | |
| CN113608973A (en) | CPU performance test management method, device, equipment and storage medium | |
| CN110908918A (en) | Unit testing method and device for multiple interdependent node | |
| CN110928798A (en) | Code testing method, device and equipment | |
| CN112799794A (en) | Big data scheduling method, device and system and storage device | |
| CN113903368B (en) | Automatic test method, device and equipment for disc and storage medium | |
| US20120005055A1 (en) | Dynamic computation of roi for test automation |
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 |