CN111338924A - Server performance test method, system, equipment and medium - Google Patents
Server performance test method, system, equipment and medium Download PDFInfo
- Publication number
- CN111338924A CN111338924A CN202010155828.XA CN202010155828A CN111338924A CN 111338924 A CN111338924 A CN 111338924A CN 202010155828 A CN202010155828 A CN 202010155828A CN 111338924 A CN111338924 A CN 111338924A
- Authority
- CN
- China
- Prior art keywords
- test
- sub
- weight
- performance
- multiplying
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000011056 performance test Methods 0.000 title claims abstract description 19
- 238000012360 testing method Methods 0.000 claims abstract description 141
- 230000004044 response Effects 0.000 claims abstract description 6
- 238000004590 computer program Methods 0.000 claims description 14
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000008569 process Effects 0.000 abstract description 5
- 230000006870 function Effects 0.000 description 6
- 230000003287 optical effect Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000001360 synchronised effect Effects 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000000694 effects Effects 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
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000014509 gene expression Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000010998 test method 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
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3452—Performance evaluation by statistical analysis
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Probability & Statistics with Applications (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Hardware Design (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Quality & Reliability (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Debugging And Monitoring (AREA)
Abstract
The invention discloses a server performance testing method, which comprises the following steps: starting a test group and acquiring the utilization rate of hardware resources; in response to the utilization reaching a threshold, recording a total number of enabled test groups; obtaining the number of the test groups respectively used for the plurality of sub-tests by utilizing the total number of the test groups; testing each sub-test by using the number of the corresponding test groups respectively and recording time; acquiring a preset total weight and a sub-weight corresponding to each sub-test; and multiplying the time corresponding to each sub-test by the corresponding sub-weight, calculating an average value, and taking the result of multiplying the average value by the total weight as a performance test result. The invention also discloses a system, a computer device and a readable storage medium. According to the scheme provided by the invention, the working load is gradually increased by adding the task process, so that the performance under different loads is evaluated, and finally, the test result is output in a mode of multiplying the running time by the weighting coefficient so as to evaluate the computing performance of the server system.
Description
Technical Field
The invention relates to the field of testing, in particular to a method, a system, equipment and a storage medium for testing the performance of a server.
Background
At present, the artificial intelligence technology has a very rapid development speed, and a plurality of server manufacturers are attracted to energetically AI-related server products. However, for various products such as cow hair, a reliable and easy-to-use test method for measuring the calculation performance of various server products in an AI scene does not exist at present.
Disclosure of Invention
In view of the above, in order to overcome at least one aspect of the above problems, an embodiment of the present invention provides a server performance testing method, including the following steps:
starting a test group and acquiring the utilization rate of hardware resources;
in response to the utilization reaching a threshold, recording a total number of enabled test groups;
obtaining the number of the test groups respectively used for the plurality of sub-tests by utilizing the total number of the test groups;
testing each sub-test by using the number of the corresponding test groups respectively and recording time;
acquiring a preset total weight and a sub-weight corresponding to each sub-test;
and multiplying the time corresponding to each sub-test by the corresponding sub-weight, calculating an average value, and taking the result of multiplying the average value by the total weight as a performance test result.
In some embodiments, using the total number of test sets to obtain the number of test sets for each of the plurality of sub-tests further comprises:
calculating the number of the test groups corresponding to each subtest according to [ N X/10 ];
wherein, N respectively takes the integer between the number of the sub-tests and 1, X is the total number of the test group, and [ ] represents the downward rounding.
In some embodiments, obtaining the preset total weight and the sub-weight corresponding to each sub-test further includes:
calculating the total weight according to X/10;
calculating the sub-weights from 1- (M-1) 5%;
wherein M is an integer between 1 and the number of subtests.
In some embodiments, the result obtained by multiplying the average value by the total weight is used as a performance test result, further comprising:
and judging the performances of different servers according to the size of the performance test result.
Based on the same inventive concept, according to another aspect of the present invention, an embodiment of the present invention further provides a server performance testing system, including:
an acquisition module configured to start a test group and acquire a utilization rate of hardware resources;
a first recording module configured to record a total number of started test groups in response to the utilization reaching a threshold;
a first calculation module configured to obtain the number of test groups respectively used for the plurality of sub-tests using the total number of test groups;
the second recording module is configured to test each sub-test by using the number of the corresponding test groups and record time;
the weight module is configured to obtain a preset total weight and a sub-weight corresponding to each sub-test;
and the second calculation module is configured to calculate an average value after multiplying the time corresponding to each sub-test by the corresponding sub-weight, and taking the result of multiplying the average value by the total weight as a performance test result.
In some embodiments, the first computing module is further configured to:
calculating the number of the test groups corresponding to each subtest according to [ N X/10 ];
wherein, N respectively takes the integer between the number of the sub-tests and 1, X is the total number of the test group, and [ ] represents the downward rounding.
In some embodiments, the weight module is further configured to:
calculating the total weight according to X/10;
calculating the sub-weights from 1- (M-1) 5%;
wherein M is an integer between 1 and the number of subtests.
In some embodiments, the second computing module is further configured to
And judging the performances of different servers according to the size of the performance test result.
Based on the same inventive concept, according to another aspect of the present invention, an embodiment of the present invention further provides a computer apparatus, including:
at least one processor; and
a memory storing a computer program operable on the processor, wherein the processor executes the program to perform any of the steps of the server performance testing method described above.
Based on the same inventive concept, according to another aspect of the present invention, an embodiment of the present invention further provides a computer-readable storage medium storing a computer program which, when executed by a processor, performs the steps of any of the server performance testing methods described above.
The invention has one of the following beneficial technical effects: according to the scheme provided by the invention, the working load is gradually increased by adding the task process, so that the performance under different loads is evaluated, and finally, the test result is output in a mode of multiplying the running time by the weighting coefficient so as to evaluate the computing performance of the server system.
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 flowchart of a server performance testing method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a server performance testing system according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a computer device provided in an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a computer-readable storage medium according to an embodiment of the present invention.
Detailed Description
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.
It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are used for distinguishing two entities with the same name but different names or different parameters, and it should be noted that "first" and "second" are merely for convenience of description and should not be construed as limitations of the embodiments of the present invention, and they are not described in any more detail in the following embodiments.
According to an aspect of the present invention, an embodiment of the present invention provides a server performance testing method, as shown in fig. 1, which may include the steps of: s1, starting a test group and obtaining the utilization rate of hardware resources; s2, responding to the utilization rate reaching a threshold value, and recording the total number of started test groups; s3, obtaining the number of the test groups respectively used for a plurality of times of sub-tests by using the total number of the test groups; s4, testing each sub-test by using the number of the corresponding test groups and recording the time; s5, acquiring a preset total weight and a sub weight corresponding to each sub test; and S6, calculating an average value after multiplying the time corresponding to each subtest by the corresponding subteights, and taking the result of multiplying the average value by the total weight as a performance test result.
According to the scheme provided by the invention, the working load is gradually increased by adding the task process, so that the performance under different loads is evaluated, and finally, the test result is output in a mode of multiplying the running time by the weighting coefficient so as to evaluate the computing performance of the server system.
In some embodiments, in step S1, in starting the test group and obtaining the utilization rate of the hardware resource, specifically, by deploying different test models (assuming that two models are deployed and run A, B as a group of tests), a group of tests is started each time, and the occupancy rate of the hardware (CPU, GPU, TPU, etc.) resource in the system is observed until 100%, and the total number of the test groups started at this time is recorded as X.
In some embodiments, using the total number of test sets to obtain the number of test sets for each of the plurality of sub-tests further comprises:
calculating the number of the test groups corresponding to each subtest according to [ N X/10 ];
wherein, N respectively takes the integer between the number of the sub-tests and 1, X is the total number of the test group, and [ ] represents the downward rounding.
Specifically, the number of test groups initiated by each sub-test may be determined according to the number of sub-tests, for example, when the number of sub-tests is 10, the number of test groups corresponding to each sub-test may be [ X/10], [2X/10], [3X/10], [4X/10], [5X/10], [6X/10], [7X/10], [8X/10], [9X/10], [10X/10 ]. Namely, the test is equivalent to the test under the condition of lifting 10% of the working load in each test. The sub-tests are then performed using ten test groups, respectively, and the corresponding times are recorded, for example, the times may be denoted as X (10%), X (20%), … … X (100%), respectively.
In some embodiments, the obtaining of the preset total weight and the sub-weight corresponding to each sub-test in step S4 further includes:
calculating the total weight according to X/10;
calculating the sub-weights from 1- (M-1) 5%;
wherein M is an integer between 1 and the number of subtests.
Specifically, the weighting coefficients of each group of subtests can be calculated in a mode from high to low, the weighting coefficients are sequentially decreased by 0.05 from high to low, and the total weighting coefficient a can be X/10. When the number of subtests is 10, the subtest with the number of test groups [10X/10] corresponds to a weight a (100%) of 1, the subtest with the number of test groups [9X/10] corresponds to a weight a (90%) of 0.95, and so on, and the other subtests correspond to a (80%) -0.9, a (70%) -0.85, a (60%) -0.80, a (50%) -0.75, a (40%) -0.7, a (30%) -0.65, a (20%) -0.6, a (10%) -0.55.
In some embodiments, in step S6, the time corresponding to each of the sub-tests is multiplied by the corresponding sub-weight to calculate an average value, and the result obtained by multiplying the average value by the total weight is used as a performance test result, specifically, after the weight and the test time corresponding to each of the sub-tests are obtained, the performance can be calculated by using the following formula:
in some embodiments, the result obtained by multiplying the average value by the total weight is used as a performance test result, further comprising:
and judging the performances of different servers according to the size of the performance test result.
Specifically, hardware loads of different servers are different, so that when the utilization rate reaches 100%, the total number of corresponding test groups is different, the final performance is counted in a weighted average mode of test results under different loads, the weighting coefficient is adjusted according to different load conditions, performance representation under various working modes can be effectively fed back, and the performance is better when the test result is larger.
According to the scheme provided by the invention, the working load is gradually increased by adding the task process, so that the performance under different loads is evaluated, and finally, the test result is output in a mode of multiplying the running time by the weighting coefficient so as to evaluate the computing performance of the server system.
Based on the same inventive concept, according to another aspect of the present invention, an embodiment of the present invention further provides a server performance testing system 400, as shown in fig. 2, including:
an obtaining module 401, where the obtaining module 401 is configured to start a test group and obtain a utilization rate of a hardware resource;
a first logging module 402, the first logging module 402 configured to log a total number of initiated test sets in response to the utilization reaching a threshold;
a first calculating module 403, where the first calculating module 403 is configured to use the total number of the test groups to obtain the number of test groups respectively used for the plurality of sub-tests;
a second recording module 404, where the second recording module 404 is configured to test each sub-test by using the number of the corresponding test groups and record time;
a weight module 405, wherein the weight module 405 is configured to obtain a preset total weight and a sub-weight corresponding to each sub-test;
a second calculating module 406, where the second calculating module 406 is configured to calculate an average value by multiplying the time corresponding to each of the sub-tests by the corresponding sub-weight, and take the result of multiplying the average value by the total weight as a performance test result.
In some embodiments, the first computing module 403 is further configured to:
calculating the number of the test groups corresponding to each subtest according to [ N X/10 ];
wherein, N respectively takes the integer between the number of the sub-tests and 1, X is the total number of the test group, and [ ] represents the downward rounding.
In some embodiments, the weight module 405 is further configured to:
calculating the total weight according to X/10;
calculating the sub-weights from 1- (M-1) 5%;
wherein M is an integer between 1 and the number of subtests.
In some embodiments, the second calculation module 406 is further configured to
And judging the performances of different servers according to the size of the performance test result.
Based on the same inventive concept, according to another aspect of the present invention, as shown in fig. 3, an embodiment of the present invention further provides a computer apparatus 501, comprising:
at least one processor 520; and
a memory 510, the memory 510 storing a computer program 511 executable on the processor, the processor 520 executing the program to perform the steps of any of the above server performance testing methods.
Based on the same inventive concept, according to another aspect of the present invention, as shown in fig. 4, an embodiment of the present invention further provides a computer-readable storage medium 601, where the computer-readable storage medium 601 stores computer program instructions 610, and the computer program instructions 610, when executed by a processor, perform the steps of any of the above server performance testing methods.
Finally, it should be noted that, as will be understood by those skilled in the art, all or part of the processes of the methods of the above embodiments may be implemented by a computer program to instruct related hardware to implement the methods. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), a Random Access Memory (RAM), or the like. The embodiments of the computer program may achieve the same or similar effects as any of the above-described method embodiments.
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 by the embodiment of the invention can be applied to any one of the electronic terminal devices in the form of electronic hardware, computer software or a combination of the electronic hardware and the computer software.
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 above-described functions defined in the method 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) 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 (DDRSDRAM), 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 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.
The foregoing is an exemplary embodiment of the present disclosure, but it should be noted that various changes and modifications could be made herein without departing from the scope of the present disclosure as defined by the appended claims. The functions, steps and/or actions of the method claims in accordance with the disclosed embodiments described herein need not be performed in any particular order. Furthermore, although elements of the disclosed embodiments of the invention may be described or claimed in the singular, the plural is contemplated unless limitation to the singular is explicitly stated.
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 of implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
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 the embodiments 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 (10)
1. A server performance testing method is characterized by comprising the following steps:
starting a test group and acquiring the utilization rate of hardware resources;
in response to the utilization reaching a threshold, recording a total number of enabled test groups;
obtaining the number of the test groups respectively used for the plurality of sub-tests by utilizing the total number of the test groups;
testing each sub-test by using the number of the corresponding test groups respectively and recording time;
acquiring a preset total weight and a sub-weight corresponding to each sub-test;
and multiplying the time corresponding to each sub-test by the corresponding sub-weight, calculating an average value, and taking the result of multiplying the average value by the total weight as a performance test result.
2. The method of claim 1, wherein using the total number of test sets to derive a number of test sets to be used for each of a plurality of subtests, further comprises:
calculating the number of the test groups corresponding to each subtest according to [ N X/10 ];
wherein, N respectively takes the integer between the number of the sub-tests and 1, X is the total number of the test group, and [ ] represents the downward rounding.
3. The method of claim 2, wherein obtaining the preset total weight and the sub-weight corresponding to each sub-test further comprises:
calculating the total weight according to X/10;
calculating the sub-weights from 1- (M-1) 5%;
wherein M is an integer between 1 and the number of subtests.
4. The method of claim 1, wherein a result of multiplying the average value by the total weight is used as a performance test result, further comprising:
and judging the performances of different servers according to the size of the performance test result.
5. A server performance testing system, comprising:
an acquisition module configured to start a test group and acquire a utilization rate of hardware resources;
a first recording module configured to record a total number of started test groups in response to the utilization reaching a threshold;
a first calculation module configured to obtain the number of test groups respectively used for the plurality of sub-tests using the total number of test groups;
the second recording module is configured to test each sub-test by using the number of the corresponding test groups and record time;
the weight module is configured to obtain a preset total weight and a sub-weight corresponding to each sub-test;
and the second calculation module is configured to calculate an average value after multiplying the time corresponding to each sub-test by the corresponding sub-weight, and taking the result of multiplying the average value by the total weight as a performance test result.
6. The system of claim 5, wherein the first computing module is further configured to:
calculating the number of the test groups corresponding to each subtest according to [ N X/10 ];
wherein, N respectively takes the integer between the number of the sub-tests and 1, X is the total number of the test group, and [ ] represents the downward rounding.
7. The system of claim 6, wherein the weighting module is further configured to:
calculating the total weight according to X/10;
calculating the sub-weights from 1- (M-1) 5%;
wherein M is an integer between 1 and the number of subtests.
8. The system of claim 5, wherein the second computing module is further configured to determine performance of different servers based on a size of the performance test result.
9. A computer device, comprising:
at least one processor; and
memory storing a computer program operable on the processor, characterized in that the processor executes the program to perform the steps of the method according to any of claims 1-4.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, is adapted to carry out the steps of the method according to any one of claims 1-4.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010155828.XA CN111338924B (en) | 2020-03-09 | 2020-03-09 | Server performance test method, system, equipment and medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010155828.XA CN111338924B (en) | 2020-03-09 | 2020-03-09 | Server performance test method, system, equipment and medium |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111338924A true CN111338924A (en) | 2020-06-26 |
CN111338924B CN111338924B (en) | 2022-06-14 |
Family
ID=71184046
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010155828.XA Active CN111338924B (en) | 2020-03-09 | 2020-03-09 | Server performance test method, system, equipment and medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111338924B (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112231156A (en) * | 2020-09-25 | 2021-01-15 | 苏州浪潮智能科技有限公司 | SPEC CPU2017 test result estimation method, system, device and medium |
CN112433908A (en) * | 2020-10-29 | 2021-03-02 | 苏州浪潮智能科技有限公司 | Method, system, device and medium for determining interval time of detection server |
CN113778768A (en) * | 2021-08-24 | 2021-12-10 | 深圳市联影高端医疗装备创新研究院 | Reconstruction server testing method and device, computer equipment and storage medium |
CN113886162A (en) * | 2021-10-21 | 2022-01-04 | 统信软件技术有限公司 | Computing equipment performance test method, computing equipment and storage medium |
CN114721922A (en) * | 2022-05-16 | 2022-07-08 | 北京并行科技股份有限公司 | Performance evaluation method of server cluster, computing equipment and storage medium |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105468513A (en) * | 2014-09-11 | 2016-04-06 | 腾讯科技(深圳)有限公司 | Testing method, apparatus and system based on mobile terminal |
CN110427312A (en) * | 2019-06-29 | 2019-11-08 | 苏州浪潮智能科技有限公司 | A kind of method, equipment and the storage medium of test database performance |
-
2020
- 2020-03-09 CN CN202010155828.XA patent/CN111338924B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105468513A (en) * | 2014-09-11 | 2016-04-06 | 腾讯科技(深圳)有限公司 | Testing method, apparatus and system based on mobile terminal |
CN110427312A (en) * | 2019-06-29 | 2019-11-08 | 苏州浪潮智能科技有限公司 | A kind of method, equipment and the storage medium of test database performance |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112231156A (en) * | 2020-09-25 | 2021-01-15 | 苏州浪潮智能科技有限公司 | SPEC CPU2017 test result estimation method, system, device and medium |
CN112231156B (en) * | 2020-09-25 | 2022-07-08 | 苏州浪潮智能科技有限公司 | SPEC CPU2017 test result estimation method, system, device and medium |
CN112433908A (en) * | 2020-10-29 | 2021-03-02 | 苏州浪潮智能科技有限公司 | Method, system, device and medium for determining interval time of detection server |
WO2022088809A1 (en) * | 2020-10-29 | 2022-05-05 | 苏州浪潮智能科技有限公司 | Method and system for determining interval time for testing servers, and device and medium |
US12056030B2 (en) | 2020-10-29 | 2024-08-06 | Inspur Suzhou Intelligent Technology Co., Ltd. | Method and system for determining interval time for testing of server, and device and medium |
CN113778768A (en) * | 2021-08-24 | 2021-12-10 | 深圳市联影高端医疗装备创新研究院 | Reconstruction server testing method and device, computer equipment and storage medium |
CN113886162A (en) * | 2021-10-21 | 2022-01-04 | 统信软件技术有限公司 | Computing equipment performance test method, computing equipment and storage medium |
CN113886162B (en) * | 2021-10-21 | 2024-05-31 | 统信软件技术有限公司 | Computing device performance test method, computing device and storage medium |
CN114721922A (en) * | 2022-05-16 | 2022-07-08 | 北京并行科技股份有限公司 | Performance evaluation method of server cluster, computing equipment and storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN111338924B (en) | 2022-06-14 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111338924B (en) | Server performance test method, system, equipment and medium | |
US11055360B2 (en) | Data write-in method and apparatus in a distributed file system | |
WO2017215655A1 (en) | Sound effect processing method, and terminal device | |
CN111858454B (en) | GPU communication method, equipment and medium | |
CN110022315B (en) | Weight management method, device and equipment in block chain type account book | |
CN111257788B (en) | Dynamic test method, system, equipment and medium of power supply | |
US10664445B2 (en) | Bloom filter generation method and apparatus | |
CN104166619A (en) | Performance measuring method and terminal of application program | |
US11249987B2 (en) | Data storage in blockchain-type ledger | |
CN110797031A (en) | Voice change detection method, system, mobile terminal and storage medium | |
CN113032202B (en) | Chip verification method, system, device, computer equipment and storage medium | |
CN111708486A (en) | Method, system, equipment and medium for balanced optimization of main placement group | |
CN110442491B (en) | Method, device and readable medium for testing server performance peak value based on SPECpower | |
CN111736765A (en) | Method, device and medium for supervising data block state | |
CN114741389A (en) | Model parameter adjusting method and device, electronic equipment and storage medium | |
CN111580976A (en) | VASP resource calling method, system, equipment and medium | |
CN111260035A (en) | Method, system, equipment and medium for searching structural parameters of EfficientNet | |
CN110597461A (en) | Data storage method, device and equipment in block chain type account book | |
CN105979567B (en) | Determine method and apparatus, the system of the access information of WAP | |
CN111736991B (en) | Method, device and equipment for scheduling cloud platform resources and readable medium | |
CN114885404B (en) | Method and equipment for reducing communication power consumption of smart watch | |
CN110597462A (en) | Data storage method, system, device and equipment in block chain type account book | |
CN113707163A (en) | Speech processing method and apparatus, and model training method and apparatus | |
CN111427756B (en) | Method, system, equipment and medium for carrying out mixed pressure test on single hard disk | |
CN115811682B (en) | Loudspeaker distortion analysis method and device based on time domain signals |
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 |