CN109936465A - A kind of cloud platform resource utilization appraisal procedure and device - Google Patents
A kind of cloud platform resource utilization appraisal procedure and device Download PDFInfo
- Publication number
- CN109936465A CN109936465A CN201711353185.4A CN201711353185A CN109936465A CN 109936465 A CN109936465 A CN 109936465A CN 201711353185 A CN201711353185 A CN 201711353185A CN 109936465 A CN109936465 A CN 109936465A
- Authority
- CN
- China
- Prior art keywords
- node
- resource
- cluster
- resource utilization
- utilization rate
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the present invention provides a kind of cloud platform resource utilization appraisal procedure and device.The described method includes: using parameter every the resource that the first predetermined period acquires each node that cloud platform includes, and the first resource utilization rate of each node is calculated using parameter according to the resource；According to the parameter information of each node, node included by the corresponding each cluster of multiple default group types is determined；According to the first resource utilization rate of node included by each cluster, the comprehensive resources utilization rate of each cluster is calculated according to default assessment models.Described device is for executing the above method.Method and device provided in an embodiment of the present invention improves cloud platform stock assessment accuracy.
Description
Technical field
The present embodiments relate to field of communication technology more particularly to a kind of cloud platform resource utilization appraisal procedure and dresses
It sets.
Background technique
Enterprise changes the funnel-shaped construction mode of conventional systems, is provided by bottom by introducing cloud computing technology
The shared scheduling mechanism with dynamic flexible in source promoted Internet technology (Internet Technology, IT) resource utilization and
System effectiveness, reduces Enterprise IT System construction cost, and resource utilization is flat as the important indicator and cloud of resource service condition
The foundation of platform operation management effective decision-making, therefore, the problem of how carrying out accurate evaluation to it, has been to be concerned by more and more people.
It is certain types of generally be directed to physical machine or virtual machine for the assessment of resource utilization under the conditions of the prior art
For resource (such as CPU, memory, I/O), and different according to the object scale of the resource of offer, can be divided into single machine, cluster and
Cloud platform three classes resource utilization；According to frequency acquisition difference, instantaneous value, average value and the peak value three classes utilization of resources can be divided into
Rate.The appraisal procedure of specific resource utilization generally comprises following two: (1) single machine resource utilization, including single machine are instantaneous
Utilization rate, single machine average utilization and single machine peak utilization；(2) cluster resource utilization rate, including the instantaneous utilization rate of cluster, collection
Group mean utilization rate sum aggregate group's peak utilization.But resource utilization appraisal procedure in the prior art is flat for cloud
The intrinsic specific composition part of platform, assessment dimension is single, is not bound with actual applicable cases flexible evaluation, and method
(1) it is affected by single machine peak utilization, the resource that method (2) can preferably embody the entire collection group busy hour uses feelings
Condition, but it is larger to the evaluation error of the whole resource service condition of cluster, and these problems can be to cloud platform resource utilization
Assessment accuracy impact.
It is therefore proposed that it is current industry important class urgently to be resolved that a kind of method, which improves cloud platform resource utilization accuracy,
Topic.
Summary of the invention
For the defects in the prior art, the embodiment of the present invention provides a kind of cloud platform resource utilization appraisal procedure and dress
It sets.
On the one hand, the embodiment of the present invention provides a kind of cloud platform resource utilization appraisal procedure, comprising:
Resource every each node that the first predetermined period acquisition cloud platform includes uses parameter, and is made according to the resource
The first resource utilization rate of each node is calculated with parameter；
According to the parameter information of each node, section included by the corresponding each cluster of multiple default group types is determined
Point；
According to the first resource utilization rate of node included by each cluster, calculated according to default assessment models described each
The comprehensive resources utilization rate of cluster.
On the other hand, the embodiment of the present invention provides a kind of cloud platform resource utilization assessment device, comprising:
Acquisition unit, the resource of each node for including every the first predetermined period acquisition cloud platform use parameter, and
The first resource utilization rate of each node is calculated using parameter according to the resource；
Processing unit determines the corresponding each collection of multiple default group types for the parameter information according to each node
Node included by group；
Computing unit, for the first resource utilization rate of the node according to included by each cluster, according to default assessment
Model calculates the comprehensive resources utilization rate of each cluster.
Another aspect, the embodiment of the present invention provide a kind of electronic equipment, including processor, memory and bus, in which:
The processor, the memory complete mutual communication by bus；
The processor can call the computer program in memory, the step of to execute the above method.
In another aspect, the embodiment of the present invention provides a kind of computer readable storage medium, it is stored thereon with computer program,
The step of above method is realized when the program is executed by processor.
Cloud platform resource utilization appraisal procedure provided in an embodiment of the present invention and device, by according to default every first
The resource for each node that period collected cloud platform includes uses parameter, calculates the first resource utilization rate of each node,
According to the parameter information of each node determine the corresponding each cluster of multiple default group types included by node, and according to institute
The first resource utilization rate for stating node included by each cluster calculates the comprehensive resources of each cluster according to default assessment models
Utilization rate improves the accuracy of cloud platform resource utilization assessment.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the flow diagram of cloud platform resource utilization appraisal procedure provided in an embodiment of the present invention；
Fig. 2 is that cloud platform resource utilization provided in an embodiment of the present invention assesses apparatus structure schematic diagram；
Fig. 3 is electronic equipment entity apparatus structural schematic diagram provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical solution in the embodiment of the present invention is explicitly described, it is clear that described embodiment is the present invention
A part of the embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not having
Every other embodiment obtained under the premise of creative work is made, shall fall within the protection scope of the present invention.
Fig. 1 is the flow diagram of cloud platform resource utilization appraisal procedure provided in an embodiment of the present invention, such as Fig. 1 institute
Show, the present embodiment provides a kind of cloud platform resource utilization appraisal procedures, comprising:
S101, parameter is used every the resource that the first predetermined period acquires each node that cloud platform includes, and according to described
Resource calculates the first resource utilization rate of each node using parameter；
Specifically, each node that cloud platform resource utilization assessment device includes every the first predetermined period acquisition cloud platform
Resource use parameter, and calculate the corresponding resource utilization of primary each node, described device will directly can calculate each time
The resource utilization rate of acquisition can also continuously will be calculated several times and be provided directly as the first resource utilization rate of each node
Source rate uses the maximum value of rate as the first resource utilization rate of each node, can specifically be configured according to the actual situation and
Adjustment, is not specifically limited herein.Wherein, first predetermined period can be set to 1 minute, may be set to be other weeks
Phase length specifically can be configured and adjust according to the actual situation, be not specifically limited herein.
The node that the cloud platform includes can provide the section of service to can be any one in the cloud platform for user
Point can be a server, be also possible to a virtual machine, specifically can be configured and adjust according to the actual situation, this
Place is not specifically limited.The resource may include the configuration resource size of each node using parameter and currently use resource big
Small, described device will currently use resource size to account for the ratio of configuration resource size as the utilization of resources of each node
Rate, certainly, the resource using parameter can also include other parameters, the resource utilization can also otherwise into
Row calculates, and specifically can be configured and adjust according to the actual situation, be not specifically limited herein.
S102, according to the parameter information of each node, determine included by the corresponding each cluster of multiple default group types
Node；
Specifically, described device using parameter and calculates the first resource utilization rate in the resource for acquiring each node
While, according to the parameter information of each node, determine node included by the corresponding each cluster of multiple default group types.
Wherein, the parameter information includes property parameters, service parameter and operating parameter, can also include other parameters, specifically can be with
It is configured and adjusts according to the actual situation, be not specifically limited herein；The default group type includes resource pool class, business
Any one in system class, Tenant system class and cloud platform class, these default corresponding clusters of group type are respectively resource
Pond, operation system, Tenant system and cloud platform；Correspondingly, described device determines each node institute according to the property parameters
The resource pool of category obtains the node that each resource pool includes；According to the service parameter determine each node belonging to business system
System, obtains the node that each operation system includes；According to the operating parameter determine each node belonging to Tenant system, obtain
The node that each Tenant system includes；Certainly, the default group type can also be other group types, specifically can be according to reality
Border situation is configured and adjusts, and is not specifically limited herein.
The first resource utilization rate of S103, the node according to included by each cluster are calculated according to default assessment models
The comprehensive resources utilization rate of each cluster.
Specifically, the first resource utilization rate of described device node according to included by each cluster is commented according to default
The comprehensive resources utilization rate that model calculates each cluster is estimated, since each cluster respectively corresponds different default collection realms
Type, therefore comprehensive assessment can be carried out from resource utilization of the different default group type dimensions to the cloud platform.
Cloud platform resource utilization appraisal procedure provided in an embodiment of the present invention, by being adopted according to every the first predetermined period
The resource for each node that the cloud platform collected includes uses parameter, the first resource utilization rate of the node is calculated, according to described
The parameter information of each node determines node included by the corresponding each cluster of multiple default group types, and according to each cluster
The first resource utilization rate of included node calculates the comprehensive resources utilization rate of each cluster according to default assessment models,
Improve the accuracy of cloud platform resource utilization assessment.
On the basis of the above embodiments, further, the node includes physical server and/or virtual machine.
On the basis of the above embodiments, further, the default group type be resource pool class, operation system class,
Any one in Tenant system class and cloud platform class.
Specifically, the default group type is in resource pool class, operation system class, Tenant system class and cloud platform class
Any one, these default corresponding clusters of group type are respectively resource pool, operation system, Tenant system and cloud platform；When
So, the default group type can also include other types, specifically can be configured and adjust according to the actual situation, herein
It is not specifically limited.The resource pool is preconfigured when being the cloud platform progress frame design；The operation system cluster
It is the system for completing multiple nodes composition of same item business jointly, can be configured and adjust according to the actual situation；It is described
Tenant system is for the tenant system that used node forms within a preset period of time；The cloud platform includes this
Whole nodes of cloud platform.
On the basis of the above embodiments, further, the parameter information includes property parameters, service parameter and operation
Parameter；Correspondingly, the parameter information according to each node determines that the corresponding each cluster of multiple default group types is wrapped
The node included, comprising:
According to the property parameters determine each node belonging to resource pool, obtain the node that each resource pool includes；
According to the service parameter determine each node belonging to operation system, obtain the section that each operation system includes
Point；
According to the operating parameter determine each node belonging to Tenant system, obtain the section that each Tenant system includes
Point.
Specifically, described device according to the property parameters determine each node belonging to resource pool, obtain each resource
The node that pond includes, according to the service parameter determine each node belonging to operation system, obtaining each operation system includes
Node, and according to the operating parameter determine each node belonging to Tenant system, obtain the section that each Tenant system includes
Point.Wherein, the property parameters include the resource belonging to preconfigured, each node when the cloud platform carries out frame design
The information in pond can also include other information；The service parameter include the currently performed business of each node (such as charging, registration,
Verifying etc.), it can also include other information；The operating parameter includes the information for the user that the current institute of each node is rented, and also
It may include other information；The information that the property parameters, the service parameter and the operating parameter include can basis
Actual conditions are configured and adjust, and are not specifically limited herein.
In the above embodiments, the first resource utilization rate of the node according to included by each cluster, according to
Default assessment models calculate the comprehensive resources utilization rate of each cluster, comprising:
By multiple first resource utilization rates of each node included by each cluster obtained in the second predetermined period, described
Secondary resource utilization rate of the maximum value as each node；Second predetermined period included the multiple described first default weeks
Phase；
By multiple Secondary resource utilization rates of each node included by each cluster obtained in third predetermined period, described
Information resources utilization rate of the average value as each node；The third predetermined period included the multiple described second default weeks
Phase；
By multiple information resources utilization rates of each node included by each cluster obtained in the 4th predetermined period, described
The 4th resource utilization described in maximum value as each node；4th predetermined period includes that multiple thirds are default
Period；
The average value of 4th resource utilization of each node for including using each cluster is as each cluster
Comprehensive resources utilization rate.
Specifically, described device is by the multiple of each node included by each cluster obtain in the second predetermined period, described
Secondary resource utilization rate of the maximum value of first resource utilization rate as each node, second predetermined period includes multiple
First predetermined period；Then, described device is by each node included by each cluster obtain in third predetermined period, described
Multiple Secondary resource utilization rates information resources utilization rate of the average value as each node, the third predetermined period packet
Include multiple second predetermined periods；Then, described device will be included by each cluster obtain in the 4th predetermined period, described
The 4th resource utilization described in the maximum value of multiple information resources utilization rates of each node as each node, the described 4th
Predetermined period includes multiple third predetermined periods；Finally, the 4th utilization of resources of each node for including by each cluster
Comprehensive resources utilization rate of the average value of rate respectively as each cluster.Second predetermined period, third predetermined period,
Four predetermined periods can be configured and adjust according to the actual situation, be not specifically limited herein.
For example, described device uses parameter every the resource of 1 minute acquisition each node, and calculate primary each node pair
The resource utilization answered.For a cluster includes each multiple nodes, described device can will be obtained according to calculating each time
The resource utilization rate obtained can also take the money of each node in every 5 minutes directly as the first resource utilization rate of each node
First resource utilization rate of the maximum value of source utilization rate as each node, in this way since, can get within a hour each
The value of the corresponding 12 first resource utilization rates of node, reduces amount of data storage；Then, described device will be in a hour
The maximum value of the corresponding 12 first resource utilization rates of each node is as the corresponding Secondary resource utilization rate of each node, in this way
Since, it can get the corresponding 24 Secondary resource utilization rates of each node within one day (24 hours), described device was by one day (24
Hour) in the corresponding 24 Secondary resource utilization rates of each node information resources utilization rate of the average value as each node,
Since in this way, the corresponding 30 information resources utilization rates of each node can have been obtained in one month (30 days), it is described
The corresponding 30 information resources rates of each node described in one month (30 days) are used the maximum value of rate as described each by device
Corresponding 4th resource utilization of node, then using the average value of the 4th resource utilization of each node as the cluster
Comprehensive resources utilization rate.
On the basis of the above embodiments, further, the method also includes:
According to the comprehensive resources utilization rate of each cluster, resource optimization is carried out to the cloud platform.
Specifically, it is excellent to carry out resource to the cloud platform according to the comprehensive resources utilization rate of each cluster for described device
Change.Wherein, the resource optimization may include that slack resources are carried out with resource reclaim, is redistributed to Resource recovery, with
And virtual machine (vm) migration and dilatation are carried out, resource optimization can be also carried out by other means, can specifically be carried out according to the actual situation
Setting and adjustment, are not specifically limited herein.
On the basis of the above embodiments, further, the method also includes: according to the resource use parameter meter
Before the first resource utilization rate for calculating the node, data cleansing is carried out using parameter to the resource.
Specifically, described device according to the resource using parameter calculate the node first resource utilization rate it
Before, data cleansing is carried out using parameter to the resource for each node that the collected cloud platform includes；Wherein, data cleansing packet
It includes supplement incomplete data, to wrong data and repeated data school peering, can also include other operations, it specifically can basis
Actual conditions are configured and adjust, and are not specifically limited herein.
Cloud platform resource utilization appraisal procedure provided in an embodiment of the present invention, by being adopted according to every the first predetermined period
The resource for each node that the cloud platform collected includes uses parameter, the first resource utilization rate of the node is calculated, according to described
The parameter information of each node determines node included by the corresponding each cluster of multiple default group types, and according to each cluster
The first resource utilization rate of included node calculates the comprehensive resources utilization rate of each cluster according to default assessment models,
Improve the accuracy of cloud platform resource utilization assessment.
Fig. 2 is cloud platform resource utilization provided in an embodiment of the present invention assessment apparatus structure schematic diagram, as shown in Fig. 2,
The embodiment of the present invention provides a kind of cloud platform resource utilization assessment device, comprising: acquisition unit 201, processing unit 202 and meter
Calculate unit 203, in which:
The resource that acquisition unit 201 is used to acquire each node that cloud platform includes every the first predetermined period uses parameter,
And the first resource utilization rate of each node is calculated using parameter according to the resource；
Processing unit 202 is used for the parameter information according to each node, determines that multiple default group types are corresponding each
Node included by cluster；
Computing unit 203 is used for the first resource utilization rate of the node according to included by each cluster, comments according to default
Estimate the comprehensive resources utilization rate that model calculates each cluster.
Cloud platform resource utilization provided in an embodiment of the present invention assesses device, by adopting according to every the first predetermined period
The resource for each node that the cloud platform collected includes uses parameter, the first resource utilization rate of the node is calculated, according to described
The parameter information of each node determines node included by the corresponding each cluster of multiple default group types, and according to each cluster
The first resource utilization rate of included node calculates the comprehensive resources utilization rate of each cluster according to default assessment models,
Improve the accuracy of cloud platform resource utilization assessment.
Optionally, the node includes physical server and/or virtual machine.
Optionally, the default group type is in resource pool class, operation system class, Tenant system class and cloud platform class
Any one.
Optionally, the parameter information includes property parameters, service parameter and operating parameter；Correspondingly, processing unit 202
Specifically for according to the property parameters determine each node belonging to resource pool, obtain the node that each resource pool includes；Root
Operation system belonging to each node is determined according to the service parameter, obtains the node that each operation system includes；According to described
Operating parameter determines Tenant system belonging to each node, obtains the node that each Tenant system includes.
Optionally, computing unit 203 be specifically used for will be each included by each cluster obtained in the second predetermined period, described
Secondary resource utilization rate of the maximum value of multiple first resource utilization rates of node as each node；Described second default week
Phase includes multiple first predetermined periods；By each node included by each cluster obtained in third predetermined period, described
Information resources utilization rate of the average value of multiple Secondary resource utilization rates as each node；The third predetermined period includes
Multiple second predetermined periods；By multiple of each node included by each cluster obtained in the 4th predetermined period, described
The 4th resource utilization described in the maximum value of three resource utilizations as each node；4th predetermined period includes more
A third predetermined period；The average value of 4th resource utilization of each node for including using each cluster is as institute
State the comprehensive resources utilization rate of each cluster.
Optionally, computing unit 203 is also used to the comprehensive resources utilization rate according to each cluster, to the cloud platform into
Row resource optimization.
Optionally, acquisition unit 201 is also used in the first resource for being calculated the node using parameter according to the resource
Before utilization rate, data cleansing is carried out using parameter to the resource.
The embodiment of device provided by the invention specifically can be used for executing the process flow of above-mentioned each method embodiment,
Details are not described herein for function, is referred to the detailed description of above method embodiment.
Fig. 3 is electronic equipment entity apparatus structural schematic diagram provided in an embodiment of the present invention, as shown in figure 3, the electronics is set
Standby may include: processor (processor) 301, memory (memory) 302 and bus 303, wherein processor 301 is deposited
Reservoir 302 completes mutual communication by bus 303.Processor 301 can call the computer program in memory 302,
To execute method provided by above-mentioned each method embodiment, for example, include every the first predetermined period acquisition cloud platform
The resource of each node uses parameter, and calculates the first resource utilization rate of each node using parameter according to the resource；Root
According to the parameter information of each node, node included by the corresponding each cluster of multiple default group types is determined；According to described
The first resource utilization rate of node included by each cluster calculates the comprehensive resources benefit of each cluster according to default assessment models
With rate.
The embodiment of the present invention discloses a kind of computer program product, and the computer program product is non-transient including being stored in
Computer program on computer readable storage medium, the computer program include program instruction, when described program instructs quilt
When computer executes, computer is able to carry out method provided by above-mentioned each method embodiment, for example, default every first
The resource for each node that period acquisition cloud platform includes calculates each node using parameter according to the resource using parameter
First resource utilization rate；According to the parameter information of each node, the corresponding each cluster institute of multiple default group types is determined
Including node；According to the first resource utilization rate of node included by each cluster, institute is calculated according to default assessment models
State the comprehensive resources utilization rate of each cluster.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium, the non-transient computer readable storage
Medium storing computer program, the computer program make the computer execute side provided by above-mentioned each method embodiment
Method, for example, the resource every each node that the first predetermined period acquisition cloud platform includes uses parameter, and according to the money
Source calculates the first resource utilization rate of each node using parameter；According to the parameter information of each node, determine multiple pre-
If node included by the corresponding each cluster of group type；It is utilized according to the first resource of node included by each cluster
Rate calculates the comprehensive resources utilization rate of each cluster according to default assessment models.
In addition, the logical order in above-mentioned memory 302 can be realized by way of SFU software functional unit and conduct
Independent product when selling or using, can store in a computer readable storage medium.Based on this understanding, originally
Substantially the part of the part that contributes to existing technology or the technical solution can be in other words for the technical solution of invention
The form of software product embodies, which is stored in a storage medium, including some instructions to
So that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation of the present invention
The all or part of the steps of example the method.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (ROM,
Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. it is various
It can store the medium of program code.
The embodiment of device described above is only schematical, wherein the unit as illustrated by the separation member
It may or may not be physically separated, component shown as a unit may or may not be physics list
Member, it can it is in one place, or may be distributed over multiple network units.It can be selected according to the actual needs
In some or all of the modules achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creativeness
Labour in the case where, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of cloud platform resource utilization appraisal procedure characterized by comprising
Resource every each node that the first predetermined period acquisition cloud platform includes uses ginseng using parameter, and according to the resource
Number calculates the first resource utilization rate of each node；
According to the parameter information of each node, node included by the corresponding each cluster of multiple default group types is determined；
According to the first resource utilization rate of node included by each cluster, each cluster is calculated according to default assessment models
Comprehensive resources utilization rate.
2. the method according to claim 1, wherein the node includes physical server and/or virtual machine.
3. the method according to claim 1, wherein the default group type is resource pool class, operation system
Any one in class, Tenant system class and cloud platform class.
4. according to the method described in claim 3, it is characterized in that, the parameter information include property parameters, service parameter and
Operating parameter；Correspondingly, the parameter information according to each node determines the corresponding each cluster of multiple default group types
Included node, comprising:
According to the property parameters determine each node belonging to resource pool, obtain the node that each resource pool includes；
According to the service parameter determine each node belonging to operation system, obtain the node that each operation system includes；
According to the operating parameter determine each node belonging to Tenant system, obtain the node that each Tenant system includes.
5. method according to any of claims 1-4, which is characterized in that described according to included by each cluster
The first resource utilization rate of node calculates the comprehensive resources utilization rate of each cluster according to default assessment models, comprising:
By the maximum of multiple first resource utilization rates of each node included by each cluster obtained in the second predetermined period, described
It is worth the Secondary resource utilization rate as each node；Second predetermined period includes multiple first predetermined periods；
By being averaged for multiple Secondary resource utilization rates of each node included by each cluster obtained in third predetermined period, described
It is worth the information resources utilization rate as each node；The third predetermined period includes multiple second predetermined periods；
By the maximum of multiple information resources utilization rates of each node included by each cluster obtained in the 4th predetermined period, described
It is worth the 4th resource utilization as each node；4th predetermined period includes multiple thirds default week
Phase；
The average value of 4th resource utilization of each node for including using each cluster is as the synthesis of each cluster
Resource utilization.
6. the method according to claim 1, wherein the method also includes:
According to the comprehensive resources utilization rate of each cluster, resource optimization is carried out to the cloud platform.
7. the method according to claim 1, wherein the method also includes:
Before the first resource utilization rate for calculating the node using parameter according to the resource, parameter is used to the resource
Carry out data cleansing.
8. a kind of cloud platform resource utilization assesses device characterized by comprising
Acquisition unit, for the resource every the first predetermined period acquisition cloud platform each node for including using parameter, and according to
The resource calculates the first resource utilization rate of each node using parameter；
Processing unit determines the corresponding each cluster institute of multiple default group types for the parameter information according to each node
Including node；
Computing unit, for the first resource utilization rate of the node according to included by each cluster, according to default assessment models
Calculate the comprehensive resources utilization rate of each cluster.
9. a kind of electronic equipment, which is characterized in that including processor, memory and bus, in which:
The processor, the memory complete mutual communication by bus；
The processor can call the computer program in memory, to execute as described in claim 1-7 any one
The step of method.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
It realizes when execution such as the step of claim 1-7 any one the method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711353185.4A CN109936465A (en) | 2017-12-15 | 2017-12-15 | A kind of cloud platform resource utilization appraisal procedure and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711353185.4A CN109936465A (en) | 2017-12-15 | 2017-12-15 | A kind of cloud platform resource utilization appraisal procedure and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109936465A true CN109936465A (en) | 2019-06-25 |
Family
ID=66980424
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711353185.4A Pending CN109936465A (en) | 2017-12-15 | 2017-12-15 | A kind of cloud platform resource utilization appraisal procedure and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109936465A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111078537A (en) * | 2019-11-29 | 2020-04-28 | 珠海金山网络游戏科技有限公司 | Method for evaluating resource division of bundle package of Unity game |
| CN111736991A (en) * | 2020-06-12 | 2020-10-02 | 苏州浪潮智能科技有限公司 | Method, device and equipment for scheduling cloud platform resources and readable medium |
| CN113590260A (en) * | 2021-06-30 | 2021-11-02 | 济南浪潮数据技术有限公司 | Statistical calculation method, device and equipment for calculation resources and readable medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102012891A (en) * | 2010-11-18 | 2011-04-13 | 浪潮(北京)电子信息产业有限公司 | Computer cluster management method, device and system |
| CN103763346A (en) * | 2013-12-31 | 2014-04-30 | 华为技术有限公司 | Distributed resource scheduling method and device |
| CN105760213A (en) * | 2016-02-22 | 2016-07-13 | 东北大学 | Early warning system and method of resource utilization rate of virtual machine in cloud environment |
| CN105760227A (en) * | 2016-02-04 | 2016-07-13 | 中国联合网络通信集团有限公司 | Method and system for resource scheduling in cloud environment |
-
2017
- 2017-12-15 CN CN201711353185.4A patent/CN109936465A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102012891A (en) * | 2010-11-18 | 2011-04-13 | 浪潮(北京)电子信息产业有限公司 | Computer cluster management method, device and system |
| CN103763346A (en) * | 2013-12-31 | 2014-04-30 | 华为技术有限公司 | Distributed resource scheduling method and device |
| CN105760227A (en) * | 2016-02-04 | 2016-07-13 | 中国联合网络通信集团有限公司 | Method and system for resource scheduling in cloud environment |
| CN105760213A (en) * | 2016-02-22 | 2016-07-13 | 东北大学 | Early warning system and method of resource utilization rate of virtual machine in cloud environment |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111078537A (en) * | 2019-11-29 | 2020-04-28 | 珠海金山网络游戏科技有限公司 | Method for evaluating resource division of bundle package of Unity game |
| CN111078537B (en) * | 2019-11-29 | 2023-09-22 | 珠海金山数字网络科技有限公司 | Evaluation method for Unity game bundle package resource division |
| CN111736991A (en) * | 2020-06-12 | 2020-10-02 | 苏州浪潮智能科技有限公司 | Method, device and equipment for scheduling cloud platform resources and readable medium |
| CN111736991B (en) * | 2020-06-12 | 2022-06-21 | 苏州浪潮智能科技有限公司 | Method, device and equipment for scheduling cloud platform resources and readable medium |
| CN113590260A (en) * | 2021-06-30 | 2021-11-02 | 济南浪潮数据技术有限公司 | Statistical calculation method, device and equipment for calculation resources and readable medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111480145B (en) | System and method for scheduling workloads according to a credit-based mechanism | |
| CN104468136B (en) | Charging method, analysis center and charging center | |
| Zheng et al. | On the viability of a cloud virtual service provider | |
| Niu et al. | Cost-effective cloud HPC resource provisioning by building semi-elastic virtual clusters | |
| CN103401938B (en) | Based on resource allocation system and the method thereof of traffic performance under distributed cloud framework | |
| CN107231264A (en) | For the method and apparatus for the capacity for managing Cloud Server | |
| CN107851105A (en) | Distributed memory system with locations of copies selection | |
| US8606905B1 (en) | Automated determination of system scalability and scalability constraint factors | |
| CN109936465A (en) | A kind of cloud platform resource utilization appraisal procedure and device | |
| CN109697637A (en) | Object type determines method, apparatus, electronic equipment and computer storage medium | |
| CN105808347B (en) | Cluster server disposes computational methods and device | |
| CN102281290A (en) | Emulation system and method for a PaaS (Platform-as-a-service) cloud platform | |
| CN110516155A (en) | Marketing strategy generation method and system | |
| CN105808341B (en) | A kind of methods, devices and systems of scheduling of resource | |
| CN106326002A (en) | Resource scheduling method, device and equipment | |
| Akan et al. | Congestion-based lead-time quotation for heterogenous customers with convex-concave delay costs: Optimality of a cost-balancing policy based on convex hull functions | |
| CN106789118A (en) | Cloud computing charging method based on service-level agreement | |
| CN106570055A (en) | Information early-warning platform based on financial big data | |
| Ostermann et al. | Using a new event-based simulation framework for investigating resource provisioning in clouds | |
| CN109933501A (en) | A kind of capacity evaluating method and device of application system | |
| Jung et al. | A workflow scheduling technique using genetic algorithm in spot instance-based cloud | |
| Tang et al. | Pricing model for dynamic resource overbooking in edge computing | |
| CN108234622A (en) | Charging method and charge system | |
| CN110096337A (en) | A kind of enterprise applies the cloud data center resource allocation methods and system of cloud deployment | |
| CN109660623A (en) | A kind of distribution method, device and the computer readable storage medium of cloud service resource |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190625 |
|
| RJ01 | Rejection of invention patent application after publication |