CN111736991B - Method, device and equipment for scheduling cloud platform resources and readable medium - Google Patents
Method, device and equipment for scheduling cloud platform resources and readable medium Download PDFInfo
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Abstract
The invention discloses a method for scheduling cloud platform resources, which comprises the following steps: recording the resource utilization rate once at each acquisition interval in a preset period; grading the resource utilization rate, counting the times of the resource utilization rate at each grade, and calculating the time ratio of the resource utilization rate at each grade within a preset period according to the times; and further calculating according to the time ratio to obtain the average resource utilization rate, and reallocating the resources based on the average resource utilization rate. The invention also discloses a device for scheduling the cloud platform resources, computer equipment and a readable storage medium. After the virtual machine is established, the resource use condition of the virtual machine is evaluated, and secondary balance is carried out on the resources in the openstack platform, so that the actual use efficiency of the resources in the openstack platform is effectively improved, and the performance of the openstack platform is improved.
Description
Technical Field
The invention relates to the technical field of cloud computing data processing, in particular to a method, a device, equipment and a readable medium for cloud platform resource scheduling.
Background
In the cloud computing era, numerous applications are deployed on a virtual machine of an openstack platform, the openstack platform is the most popular open-source cloud platform at present, one of the key points of one cloud platform is resource scheduling, the resource scheduling refers to virtual machine scheduling if no special description is provided, and the resource scheduling strategy of the openstack platform directly influences the performance of the applications in the virtual machine.
At present, various mature and effective resource scheduling strategies are mostly performed before the virtual machine is created, and the resource scheduling research after resource allocation is less. Due to uncertainty of services, resource scheduling before the virtual machine is created can cause the condition that service requirements are not matched with resource configuration of the virtual machine, so that the resource configuration of the virtual machine cannot meet the service requirements or the virtual machine occupies a large amount of idle resources.
Disclosure of Invention
In view of this, an object of the embodiments of the present invention is to provide a method, an apparatus, a device, and a readable medium for cloud platform resource scheduling, after a virtual machine is established, by evaluating resource usage of the virtual machine and performing secondary balancing on resources in an openstack platform, actual usage efficiency of the resources in the openstack platform is effectively improved, so that performance of the openstack platform is improved.
Based on the above purpose, an aspect of the embodiments of the present invention provides a method for scheduling cloud platform resources, including the following steps: recording the resource utilization rate once at each acquisition interval in a preset period; grading the resource utilization rate, counting the times of the resource utilization rate at each grade, and calculating the time ratio of the resource utilization rate at each grade within a preset period according to the times; and further calculating according to the time ratio to obtain the average resource utilization rate, and reallocating the resources based on the average resource utilization rate.
In some embodiments, the method is used for an openstack open source cloud platform.
In some embodiments, the resource usage includes: CPU utilization, memory utilization and storage capacity.
In some implementations, ranking resource usage includes: comparing the resource utilization rate with a first rating preset value and a second rating preset value; if the resource utilization rate is higher than a first rating preset value, the resource utilization rate is rated as high; if the resource utilization rate is lower than the second rating preset value, the resource utilization rate is rated as low level; and if the resource utilization rate is not higher than the first rating preset value and not lower than the second rating preset value, the resource utilization rate is rated as a middle level.
In some embodiments, calculating the time ratio corresponding to each rating level of the resource usage rate in the preset period according to the number of times includes: dividing the preset period by the acquisition interval to obtain the total times of the resource utilization rate in the preset period; and dividing the number of times of each rating level by the total number of times to obtain the time ratio corresponding to each rating level.
In some embodiments, further calculating the average resource usage based on the time ratio comprises: and multiplying each time ratio by a corresponding rating preset value and summing to obtain the average resource utilization rate.
In some embodiments, reallocating resources based on average resource usage comprises: and multiplying the average resource utilization rate by the initial resource allocation value to obtain a new resource allocation value, and reallocating the resources according to the new resource allocation value.
In another aspect of the embodiments of the present invention, a device for scheduling cloud platform resources is further provided, including: the performance monitoring module is configured to record the resource utilization rate once at each acquisition interval in a preset period; the resource evaluation module is used for grading the resource utilization rate, counting the times of the resource utilization rate at each grade level and calculating the time ratio of the resource utilization rate at each grade level in a preset period according to the times; and the resource scheduling module is used for further calculating according to the time ratio to obtain the average resource utilization rate and reallocating the resources based on the average resource utilization rate.
In another aspect of the embodiments of the present invention, there is also provided a computer device, including: at least one processor; and a memory storing computer instructions executable on the processor, the instructions when executed by the processor implementing the steps of the method.
In a further aspect of the embodiments of the present invention, a computer-readable storage medium is also provided, in which a computer program for implementing the above method steps is stored when the computer program is executed by a processor.
The invention has the following beneficial technical effects: after the virtual machine is established, the resource use condition of the virtual machine is evaluated, and secondary balance is carried out on resources in the openstack platform, so that the actual use efficiency of the resources in the openstack platform is effectively improved, and the performance of the openstack platform is improved.
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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 an embodiment of a method for scheduling cloud platform resources according to the present invention;
fig. 2 is a schematic diagram of an apparatus for scheduling cloud platform resources 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.
Based on the above purpose, a first aspect of the embodiments of the present invention provides an embodiment of a method for scheduling cloud platform resources. Fig. 1 is a schematic diagram illustrating an embodiment of a method for scheduling cloud platform resources according to the present invention. As shown in fig. 1, the embodiment of the present invention includes the following steps:
s1, recording the resource utilization rate once at each acquisition interval in a preset period;
s2, rating the resource utilization rate, counting the times of the resource utilization rate in each rating level, and calculating the time ratio of the resource utilization rate in each rating level in a preset period according to the times; and
and S3, further calculating according to the time ratio to obtain the average resource utilization rate, and reallocating the resources based on the average resource utilization rate.
In this embodiment, performance evaluation is performed in a period of 7 days, and the usage rates of various resources are collected and recorded every 15 minutes; dividing the resource utilization rate into three grades of low grade, middle grade and high grade by three intervals of 0-40%, 40-80% and 80%, and counting the times with the resource utilization rate grade of i as | AiI represents low level, medium level and high level, and the time proportion of each resource utilization rate in each rating in 7 days is calculated, and the formula is as follows:
and further calculating according to the time ratio to obtain the average resource utilization rate, wherein the formula is as follows:
In some embodiments of the invention, the method can be used for an openstack open source cloud platform. The openstack platform is the most popular open source cloud platform at present, and by carrying out secondary balance on openstack platform resources, the resource allocation strategy can be adjusted according to the actual demand condition of services in the platform on the resources, so that the actual utilization efficiency of the resources in the openstack platform can be effectively improved, and the performance of the openstack platform is improved to a certain extent.
In some embodiments of the invention, the resource usage comprises: CPU utilization, memory utilization and storage capacity. Respectively acquiring the use conditions of resources such as a CPU, an internal memory, storage and the like, respectively evaluating the utilization rate of the CPU, the utilization rate of the internal memory and the ratio of storage capacity, and carrying out secondary balance on the resources such as the CPU, the internal memory, the storage and the like according to the evaluation result.
In some embodiments of the invention, ranking resource usage comprises: comparing the resource utilization rate with a first rating preset value and a second rating preset value; if the resource utilization rate is higher than the first rating preset value, the resource utilization rate is rated as high; if the resource utilization rate is lower than the second rating preset value, the resource utilization rate is rated as low level; and if the resource utilization rate is not higher than the first rating preset value and not lower than the second rating preset value, the resource utilization rate is rated as a middle level.
In some embodiments of the present invention, calculating a time proportion corresponding to each rating level of the resource usage rate in a preset period according to the number of times includes: dividing the preset period by the acquisition interval to obtain the total times of the resource utilization rate in the preset period; and dividing the number of times of each rating level by the total number of times to obtain the time ratio corresponding to each rating level. The preset period is 7 days, and the formula is as follows when the collection interval is 15 minutes:
In some embodiments of the present invention, further calculating the average resource usage according to the time ratio comprises: multiplying each time ratio by a corresponding rating preset value and summing to obtain an average resource utilization rate, wherein the formula is as follows:
In some embodiments of the invention, reallocating resources based on average resource usage comprises: multiplying the average resource utilization rate by the initial resource allocation value to obtain a new resource allocation value, and reallocating the resources according to the new resource allocation value, wherein the formula is as follows:
It should be particularly noted that, steps in the foregoing cloud platform resource scheduling methods in various embodiments may be intersected, replaced, added, or deleted, and therefore, these methods for cloud platform resource scheduling, which are transformed by reasonable permutation and combination, should also belong to the scope of the present invention, and should not limit the scope of the present invention to the embodiments.
In view of the foregoing, a second aspect of the embodiments of the present invention provides an apparatus for scheduling cloud platform resources. Fig. 2 is a schematic diagram illustrating an embodiment of an apparatus for cloud platform resource scheduling provided by the present invention. As shown in fig. 2, the embodiment of the present invention includes the following modules: the performance monitoring module is configured to record the resource utilization rate once at each acquisition interval in a preset period; the resource evaluation module is used for grading the resource utilization rate, counting the times of the resource utilization rate at each grade level and calculating the time ratio of the resource utilization rate at each grade level in a preset period according to the times; and the resource scheduling module is used for further calculating according to the time ratio to obtain the average resource utilization rate and reallocating the resources based on the average resource utilization rate.
In view of the above object, a third aspect of the embodiments of the present invention provides a computer device, including: at least one processor; and a memory storing computer instructions executable on the processor, the instructions when executed by the processor implementing the steps of the above method.
The invention also provides a computer readable storage medium storing a computer program which, when executed by a processor, performs the method as above.
Finally, it should be noted that, as one of ordinary skill in the art can appreciate that all or part of the processes in the methods of the embodiments described above can be implemented by a computer program to instruct related hardware, and the program of the method for cloud platform resource scheduling can be stored in a computer readable storage medium, and when executed, the program can include the processes of the embodiments of the methods described above. The storage medium of the program 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.
Furthermore, the methods disclosed according to embodiments of the present invention may also be implemented as a computer program executed by a processor, which may be stored in a computer-readable storage medium. Which when executed by a processor performs the above-described functions defined in the methods disclosed in embodiments of the 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 (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 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 for 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 method for scheduling cloud platform resources is characterized by comprising the following steps:
recording the resource utilization rate once at each acquisition interval in a preset period;
grading the resource utilization rate, counting the times of the resource utilization rate at each grade level, and calculating the time ratio of the resource utilization rate at each grade level in the preset period according to the times; and
further calculating according to the time ratio to obtain average resource utilization rate, and reallocating resources based on the average resource utilization rate,
and further calculating according to the time ratio to obtain the average resource utilization rate, wherein the formula is as follows:
2. The method for cloud platform resource scheduling according to claim 1, wherein the method is used for an openstack open source cloud platform.
3. The method of cloud platform resource scheduling according to claim 1, wherein the resource usage rate comprises: CPU utilization, memory utilization and storage capacity.
4. The method of cloud platform resource scheduling according to claim 1, wherein ranking the resource usage comprises:
comparing the resource utilization rate with a first rating preset value and a second rating preset value;
if the resource utilization rate is higher than a first rating preset value, the resource utilization rate is rated as high;
if the resource usage rate is lower than a second rating preset value, rating the resource usage rate as low level;
and if the resource utilization rate is not higher than the first rating preset value and not lower than a second rating preset value, the resource utilization rate is rated as a middle level.
5. The method according to claim 1, wherein calculating the time ratio corresponding to each rating level of the resource utilization rate in the preset period according to the number of times comprises:
dividing the preset period by the acquisition interval to obtain the total times of the resource utilization rate in the preset period;
and dividing the number of times of each rating level by the total number of times to obtain the time ratio corresponding to each rating level.
6. The method of claim 1, wherein further calculating an average resource usage rate according to the time fraction comprises:
and multiplying each time ratio by a corresponding rating preset value and summing to obtain the average resource utilization rate.
7. The method of claim 1, wherein reallocating resources based on the average resource usage comprises:
and multiplying the average resource utilization rate by the initial resource allocation value to obtain a new resource allocation value, and reallocating the resources according to the new resource allocation value.
8. An apparatus for resource scheduling of a cloud platform, comprising:
the performance monitoring module is configured to record the resource utilization rate once at each acquisition interval in a preset period;
the resource evaluation module is used for grading the resource utilization rate, counting the times of the resource utilization rate at each grade level and calculating the time ratio of the resource utilization rate at each grade level in the preset period according to the times; and
a resource scheduling module for further calculating to obtain the average resource utilization rate according to the time ratio and reallocating the resources based on the average resource utilization rate,
and further calculating according to the time ratio to obtain the average resource utilization rate, wherein the formula is as follows:
9. A computer device, comprising:
at least one processor; and
a memory storing computer instructions executable on the processor, the instructions when executed by the processor implementing the steps of the method of any one of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102868763A (en) * | 2012-10-08 | 2013-01-09 | 山东省计算中心 | Energy-saving dynamic adjustment method of virtual web application cluster in cloud computing environment |
| CN104410543A (en) * | 2014-11-19 | 2015-03-11 | 中国联合网络通信集团有限公司 | An automatic testing method and system based on cloud resource |
| CN105260235A (en) * | 2015-09-23 | 2016-01-20 | 浪潮集团有限公司 | Method and device for scheduling resources on basis of application scenarios in cloud platform |
| WO2018199414A1 (en) * | 2017-04-24 | 2018-11-01 | (주) 글루시스 | Method and apparatus for distributing virtualized resources in cloud computing environment |
| CN109936465A (en) * | 2017-12-15 | 2019-06-25 | 中国移动通信集团浙江有限公司 | A kind of cloud platform resource utilization appraisal procedure and device |
| CN110413382A (en) * | 2019-08-06 | 2019-11-05 | 山东超越数控电子股份有限公司 | A kind of method, equipment and the readable medium of the resource dynamic adjustment of Docker container |
-
2020
- 2020-06-12 CN CN202010533955.9A patent/CN111736991B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102868763A (en) * | 2012-10-08 | 2013-01-09 | 山东省计算中心 | Energy-saving dynamic adjustment method of virtual web application cluster in cloud computing environment |
| CN104410543A (en) * | 2014-11-19 | 2015-03-11 | 中国联合网络通信集团有限公司 | An automatic testing method and system based on cloud resource |
| CN105260235A (en) * | 2015-09-23 | 2016-01-20 | 浪潮集团有限公司 | Method and device for scheduling resources on basis of application scenarios in cloud platform |
| WO2018199414A1 (en) * | 2017-04-24 | 2018-11-01 | (주) 글루시스 | Method and apparatus for distributing virtualized resources in cloud computing environment |
| CN109936465A (en) * | 2017-12-15 | 2019-06-25 | 中国移动通信集团浙江有限公司 | A kind of cloud platform resource utilization appraisal procedure and device |
| CN110413382A (en) * | 2019-08-06 | 2019-11-05 | 山东超越数控电子股份有限公司 | A kind of method, equipment and the readable medium of the resource dynamic adjustment of Docker container |
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