CN106257524A - A kind of charging method of cloud infrastructure services - Google Patents
A kind of charging method of cloud infrastructure services Download PDFInfo
- Publication number
- CN106257524A CN106257524A CN201610318805.XA CN201610318805A CN106257524A CN 106257524 A CN106257524 A CN 106257524A CN 201610318805 A CN201610318805 A CN 201610318805A CN 106257524 A CN106257524 A CN 106257524A
- Authority
- CN
- China
- Prior art keywords
- virtual machine
- resource
- charging
- price
- granularity
- 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
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/24—Accounting or billing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0645—Rental transactions; Leasing transactions
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/14—Charging, metering or billing arrangements for data wireline or wireless communications
- H04L12/1403—Architecture for metering, charging or billing
- H04L12/1407—Policy-and-charging control [PCC] architecture
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
- H04M15/66—Policy and charging system
Abstract
The present invention relates to field of cloud calculation, charging method particularly to a kind of cloud infrastructure services, comprise the following steps: S1, cloud infrastructure services platform designated virtual machine mirror image nature, resource charging dimension, resource charging granularity, minimum chargeable time unit and resource granularity price, and construct total resources price model；Join virtual machine information table after the virtual machine application of S2, cloud infrastructure services platform reception user, calculate virtual machine and run price；S3, accounting engine obtain the configuration information of the virtual machine of user's application, and the charging policy choosing correspondence from charging policy pond carries out charging to user virtual machine, and charging policy includes reserved lease and pay-for-use two kinds.The demand difference of infrastructure resources is formulated corresponding charging policy according to cloud service user by the present invention, resource lease charging method can be made more flexible, ensure the reasonable profit of cloud service manufacturer simultaneously.
Description
Technical field
The present invention relates to field of cloud calculation, particularly to the charging method of a kind of cloud infrastructure services, the present invention according to
The demand difference of infrastructure resources is formulated corresponding charging policy by cloud service user, can make resource lease charging method more
Flexibly, ensure the reasonable profit of cloud service manufacturer simultaneously.
Background technology
The development of cloud computing service (abbreviation cloud service) makes the process of information turn to high in the clouds to calculate from local computing, user
(can include that the storage of CPU, internal memory, block, outer net network, object are deposited by the resource-sharing pond of internet access dynamic and configurable
Storage etc.), it provides a user with available network easily and accesses.Cloud computing service typically can be divided into infrastructure by different levels
I.e. service (IaaS, Infrastructure as a Service), platform i.e. services (PaaS, Platform as a
And software i.e. services (SaaS, Software as a Service) Service).IaaS is by infrastructure resources such as hardware devices
The service of being packaged into is supplied to user and uses, and usual cloud infrastructure services is with the form of virtual machine (VM, Virtual Machine)
Being supplied to user use, user is the equal of all resources having monopolized virtual machine.Follow operation program in traditional physical machine
There is not difference, it is possible not only to run Windows system, it is also possible to run other systems such as Linux.The most acknowledged
World-leading three Jia Yun infrastructure services providers are 3A (Amazon, Azure and AliCloud), institute in patent of the present invention
The cloud service referred to i.e. services all referring to infrastructure.PaaS provides development environment and running environment, the allusion quotation of user application
Type have Google App Engine, it self can be responsible for dynamic expansion and the fault-tolerant management of resource, but user must make
With the programmed environment specified the exploitation carrying out application program in accordance with specific programming model, have the drawback that it is only applicable to
Solve some specific computational problem.Some application specific software function package is become service by SaaS, it is provided that some special purpose
Service provision routine call, such as data storage service and data Analysis Service etc..
Cloud computing has ultra-large, virtualization, high reliability, universal, high scalability, pay-for-use and the most cheap
Etc. advantage, the present invention is from enhanced scalability (Resource Scalability) and pay-for-use (Pay-as-you-go) two
The charge mode of current cloud infrastructure services is improved by aspect.It is permissible that high scalability refers to cloud computing service user
The configuration parameter of the leased infrastructure resources of change at any time.In the case of stand-alone application, it is possible to use longitudinal resource is stretched
The method of contracting, such as can discharge (Scale down) partial response when resource crosses overabsorption (Over-provisioning)
Resource, the resource of (Scale up) partial response can be increased when resource very few distribution (Under-provisioning),
Temporarily not processing task when, hang up (Suspend) or close (Stop) virtual machine entrance sleep pattern or shutdown
Pattern.In the case of multi-host parallel is applied, the method that can also use transversal stretching except longitudinal extension, such as in resource mistake
(Scale in) a part of virtual machine can be discharged during overabsorption, (Scale out) can be increased when the very few distribution of resource
Partial virtual machine.As long as pay-for-use refer to user in oneself virtual machine life cycle (from virtual machine creating to virtual machine
Release) resource that used pays, without amount paid outside hardware buy and administration fee use, the most most
IaaS service facility use with hour for minimum chargeable time unit.Application program does not has live load or work on a virtual machine
Make duty factor relatively low time, user can select to discharge all or part of resource to reduce lease expenses, because the joining of virtual machine
Put relatively low usual value of leass relatively low.In order to more reasonably fix a price by relation between supply and demand, Amazon is proposed Bidding Mechanism,
Applying for virtual machine when, if the calculating resource of EC2 is more more than needed, then by bidding, user can be less than common side
The price of formula obtains the right to use of virtual machine.Owing to type virtual machine of bidding has certain preferential, therefore relative to normal price
You can be substantially reduced the operating cost of application program, promote the calculating capacity of application program and gulp down in the case of budget is constant
The amount of telling.
Traditional billing mechanism is primarily present four shortcomings: (1) minimum chargeable time unit is oversize, usually one little
Time, for a lot of small-sized calculating tasks, the process time often need not one hour, so charging adds relatively by the hour
Expense, and waste resource, do not meet the green of current promotion and calculate main flow；(2) configuration categories of virtual machine is less, and often
The virtual machine price of a kind of configuration is fixed, and after not considering virtual machine operation, resource dynamically stretches and reduction；(3) do not consider virtual
The state of machine, dispose start after to virtual machine release reclaim the whole time period in, all think virtual machine in running status, and
By the price charging of running status.(4) after user has applied for virtual machine, OnNow virtual machine, there is no resource reservation lease
Mechanism, does not consider that resources of virtual machine lease starts time and end time.In view of the above problems, in the present invention, it is contemplated that
Virtual machine reserved lease request and pay-for-use ask two kinds of situations, and consider after deploying virtual machine starts, virtual machine state
Change and the dynamic retractility of each dimension resource.Give the most competitively priced for reserved lease request, and to suspending shape
State and dormant virtual machine collect relatively low expense.
Summary of the invention
The present invention is directed to the problems referred to above present in original cloud infrastructure services charging method, it is provided that a kind of novel
The charging method of cloud infrastructure services.
For achieving the above object, this invention takes following technical proposals:
The charging method of a kind of cloud infrastructure services, comprises the following steps:
S1, cloud infrastructure services platform designated virtual machine mirror image nature, resource charging dimension, resource charging granularity,
Little chargeable time unit and resource granularity price, and construct total resources price model；
Join virtual machine information table after the virtual machine application of S2, cloud infrastructure services platform reception user, calculate void
Plan machine runs price；
S3, accounting engine obtain the configuration information of the virtual machine of user's application, choose the charging of correspondence from charging policy pond
Strategy carries out charging to user virtual machine, and charging policy includes reserved lease and pay-for-use two kinds.
Further, in step S1, described type of virtual machine includes Windows mirror image and Linux mirror image two kinds, described money
Source charging dimension includes CPU, internal memory, cloud hard disk, outer net network；When described resource charging dimension is CPU, corresponding resource charging
Granularity is check figure, and when described resource charging dimension is internal memory, corresponding resource charging granularity is GB, and described resource charging dimension is
During cloud hard disk, corresponding resource charging granularity is GB, when described resource charging dimension is outer net network, and corresponding resource charging grain
Degree is MB；Described cloud hard disk includes that SATA storage, SAS storage and SSD store three types, and described outer net network includes outer net band
Width and outer net flow.
Further, in step S1, described resource granularity price is that single resource charging granularity is at minimum chargeable time list
Position UTIMEInterior price, resource granularity price UtypeIncluding: resource granularity price U of 1 core CPUCPU, the resource granularity of 1GB internal memory
Price UMEM, resource granularity price U of 1GB cloud hard diskDIS-1、UDIS-2And UDIS-3, the resource granularity price of 1MB outer net bandwidth
UNET-BANDWIDTH, resource granularity price U of 1MB outer net flowNET-FLOW；Wherein, UDIS-1、UDIS-2And UDIS-3The most corresponding cloud is hard
Dish is SATA storage, SAS storage and the resource granularity price of SSD three kinds of storage classes of storage.
Further, in step S1, described total resources price PtypeFor multiple resource charging granularities when minimum charging
Between unit UTIMEInterior price, and
Ptype=Ctype×Utype
Or Ptype=Utypeloga(Ctype+ 1), (a ＞ 1),
Wherein, type represents resource type, CtypeRepresent resource charging granularity quantity, UtypeRepresent resource granularity price.
Further, in step S2, described virtual machine information table includes that virtual machine image type, CPU core number, internal memory hold
Amount, SATA cloud hard-disk capacity, SAS cloud hard-disk capacity, SSD cloud hard-disk capacity, the outer net network bandwidth, outer net network traffics, startup
Time, reserved lease time, virtual machine state, virtual machine price, charging point and virtual machine lease expenses.
Further, in step S2, described virtual machine operation price is that the virtual machine of a running status is in minimum charging
Price in unit of time, its computational methods are as follows:
Wherein, PVM-RUNNINGVirtual machine runs price, PDIS=PDIS1+PDIS2+PDIS3, when outer net network selects to press effusion meter
Time-consuming, PNETValue 0, the expense that outer net network produces is by the flow rate calculation produced actual in each chargeable time unit.
Further, in step S3, when described charging policy is for reserved lease, user applies for specifying during virtual machine reserved rent
Rent time TRESERVE, the lease expenses COST of virtual machineRESERVEComputational methods be:
Wherein, α is cost coefficient, TRESERVEThe biggest, α value is the least.
Further, in step S3, when described charging policy is for reserved lease, if virtual machine has run TUSEDAfter time,
User wants to apply in advance discharging resources of virtual machine, then collect a part of penalty and retreat still remaining paid expense, need
The fee calculation procedure being returned to user is:
Wherein, β is penalty coefficient, TUSED/TRESERVEThe least, β value is the biggest.
Further, in step S3, when described charging policy is pay-for-use, virtual machine state includes running status, stops
Machine state or sleep state, virtual machine state change includes that running status shutdown becomes stopped status, stopped status starts and becomes
The hang-up of running status, running status becomes sleep state and sleep state recovers to become running status；Virtual machine state is fortune
Virtual machine price corresponding during row state is PVM-RUNNING, the virtual machine price that virtual machine state is corresponding when being stopped status is
PVM-SHUTDOWN, the virtual machine price that virtual machine state is corresponding when being sleep state is PVM-SLEEP, and PVM-SHUTDOWN=a ×
PVM-RUNNING, PVM-SLEEP=b × PVM-RUNNING, wherein, a, b are the constant more than 0 less than 1；When virtual machine is in running
User monitoring to the resource utilization of certain dimension too high or too low time, stretch or reduce the resource of this dimension online, empty
After the longitudinally reduction of certain dimension resource of plan machine, recalculating the virtual machine price obtained is PVM-SCALEDOWN, certain dimension of virtual machine
After resource Longitudinal Extension, recalculating the virtual machine price obtained is PVM-SCALEUP。
Further, in step S3, when virtual machine state change, dimension resource are stretched or through a minimum charging
Between unit time, calculate the described virtual machine lease expenses from a upper charging point to current time, and deduct from account balance；As
Really account balance pays current time unit lease expenses not, then force to reclaim virtual machine；Assume that current virtual machine price is
P, if current virtual machine outer net network is by bandwidth charging, then this virtual machine lease expenses increases on the basis of original
P, if current virtual machine outer net network is charged by flow, then this virtual machine lease expenses increases on the basis of original
P+CNET-FLOW×UNET-FLOW。
The present invention has a following beneficial effect:
Application program difference according to user, it is provided that the virtual machine of more multi-configuration combination selects to user, can select
Two kinds of mirror images of Linux and Windows, outer net network can select by bandwidth and two kinds of method chargings of flow.Provide two kinds of meters
Take strategy, including reserved lease and pay-for-use.For taking the virtual machine of reserved lease charging policy, during according to reserved lease
Between length the virtual machine of reserved lease is given certain competitively priced, and the reserved lease virtual machine discharged in advance is collected
Certain promise breaking punishment.For taking the virtual machine of pay-for-use charging policy, employ less minimum chargeable time unit,
Lease expenses can be saved for small-sized calculating task, and avoid wasting resource.Meanwhile, in running, user is permissible
The resource quantity of certain dimension of stretching individually, ensures application program service quality on virtual machine by most suitable stock number；
User can also revise the state of virtual machine, formulates lower price for stopped status and dormant virtual machine.
The charging method of the present invention, by formulating the charging policy of differentiation, can make resources of virtual machine lease charging method
More flexible, user can use the most rational stock number to ensure application program service quality, ensures the reasonable of manufacturer simultaneously
Profit.
Accompanying drawing explanation
Fig. 1 is virtual machine life cycle schematic diagram.
Detailed description of the invention
In order to be further appreciated by the present invention, below in conjunction with embodiment, the preferred embodiment of the invention is described, but
Should be appreciated that these describe simply as to further illustrate the features and advantages of the present invention rather than to the claims in the present invention
Limit.
The invention provides the charging method of a kind of cloud infrastructure services, comprise the following steps:
S1 cloud infrastructure services platform designated virtual machine mirror image nature, resource charging dimension, resource charging granularity, minimum
Chargeable time unit and resource granularity price, and construct total resources price model；
Join virtual machine information table after the virtual machine application of S2 cloud infrastructure services platform reception user, calculate virtual
Machine runs price；
S3 accounting engine obtains the configuration information of the virtual machine of user's application, chooses the charging plan of correspondence from charging policy pond
Slightly user virtual machine being carried out charging, charging policy includes reserved lease and pay-for-use two kinds.
Below in conjunction with the accompanying drawings 1, by specific embodiment, the present invention is described in further detail.
Embodiment
A kind of charging method of cloud infrastructure services, including step in detail below:
1), type of virtual machine include Windows mirror image and Linux mirror image two kinds, resource charging dimension includes CPU (charging
Granularity is check figure), internal memory (charging granularity is GB), cloud hard disk (include SATA storage/SAS storage/SSD store three types, meter
Taking granularity is all GB), outer net network (the charging granularity of outer net bandwidth and outer net flow is all MB).
2), minimum chargeable time unit UTIME=1 hour, the resource granularity price of 1 core CPU was UCPU=1,1GB internal memory
Resource granularity price is UMEMThe resource granularity price of=1,1GB cloud hard disk is UDIS-1=0.1, UDIS-2=0.2 and UDIS-3=0.3
(1/2/3 the most corresponding SATA storage/SAS storage/SSD stores three types), the resource granularity price of 1MB outer net bandwidth is
UNET-BANDWIDTHThe resource granularity price of=1,1MB outer net flow is UNET-FLOW=0.01, CPU, internal memory, hard disk and outer net network
Price increase model be all P=C × U.
3), a certain moment receives two virtual machine applications of user.It is Windows mirror that virtual machine information is respectively as follows: VM1
Picture, including 2 core CPU, 4GB capacity internal memories, 40GB capacity SATA cloud hard disk and the outer net network of 4MB bandwidth, has reserved 48 little
Time lease time；VM2 is Linux mirror image, including 1 core CPU, 2GB capacity internal memory, 80GB capacity SAS cloud hard disk, outer net net
Network is according to charge on traffic, and takes the form lease of pay-for-use.When we take λ=1.2, it is calculated PVM1-RUNNING=
14, PVM2-RUNNING=19.
4) VM1 is the virtual machine of reserved lease, reserved lease duration TRESERVE=48 hours, we calculated it at reserved rent
The lease expenses in the time of renting is COSTRESERVE=537.6, competitively priced coefficient value 0.8.
5) when virtual machine VM1 run 24 little time after want to apply in advance to discharge resources of virtual machine, need to be returned to user
Expense be COSTREPAY=134.4, penalty coefficient value 1.2 of breaking a contract.
6) virtual machine of VM2 runs price is PVM2-RUNNING=14, virtual machine sleep price is PVM-SLEEP=2.8 (b takes
Value 0.2), and virtual machine shutdown price PVM-SHUTDOWN=1.4 (b values 0.1), virtual machine and configuration variation mistake in running
Journey is as follows:
A. in first hour, virtual machine is in running status, and price is 14, and outer net flow is 500MB, then first little
Time expense be 19；
B. in second hour, virtual machine is in sleep state, and price is 2.8, and outer net flow is 0, then second hour
Expense is 2.8；
C. in the 3rd hour, virtual machine is in running status, and price is 14, and outer net flow is 200MB, then the 3rd little
Time expense be 16；
D. in the 4th hour, virtual machine is in stopped status, and price is 1.4, and outer net flow is 0, then the 4th hour
Expense is 1.4；
E. in the 5th hour, virtual machine is in running status, and virtual machine CPU parameter is changed into 2 cores by 1 core, and price is 15, outward
Net flow is 400MB, then the expense of the 5th hour is 19；
F. in the 5th hour, virtual machine is in running status, and virtual machine CPU parameter is changed into 1 core by 2 cores, and price is 14, outward
Net flow is 300MB, then the expense of the 5th hour is 17；
G. user discharges virtual machine, and system reclaims resources of virtual machine, and total lease expenses of virtual machine is 75.2.
The explanation of above example is only intended to help to understand method and the core concept thereof of the present invention.It is right to it should be pointed out that,
For those skilled in the art, under the premise without departing from the principles of the invention, it is also possible to the present invention is carried out
Some improvement and modification, these improve and modify in the protection domain also falling into the claims in the present invention.
Claims (10)
1. the charging method of a cloud infrastructure services, it is characterised in that comprise the following steps:
S1, cloud infrastructure services platform designated virtual machine mirror image nature, resource charging dimension, resource charging granularity, subtotal
Time-consuming unit and resource granularity price, and construct total resources price model；
Join virtual machine information table after the virtual machine application of S2, cloud infrastructure services platform reception user, calculate virtual machine
Run price；
S3, accounting engine obtain the configuration information of the virtual machine of user's application, choose the charging policy of correspondence from charging policy pond
User virtual machine is carried out charging, and charging policy includes reserved lease and pay-for-use two kinds.
The charging method of cloud infrastructure services the most according to claim 1, it is characterised in that in step S1, described void
Plan machine type includes that Windows mirror image and Linux mirror image two kinds, described resource charging dimension include CPU, internal memory, cloud hard disk, outer
Net network；When described resource charging dimension is CPU, corresponding resource charging granularity is check figure, and described resource charging dimension is interior
When depositing, corresponding resource charging granularity is GB, and when described resource charging dimension is cloud hard disk, corresponding resource charging granularity is
GB, when described resource charging dimension is outer net network, corresponding resource charging granularity is MB；Described cloud hard disk includes that SATA deposits
Storage, SAS storage and SSD store three types, and described outer net network includes outer net bandwidth and outer net flow.
The charging method of cloud infrastructure services the most according to claim 2, it is characterised in that in step S1, described money
Source granularity price is that single resource charging granularity is in minimum chargeable time unit UTIMEInterior price, resource granularity price UtypeBag
Include: resource granularity price U of 1 core CPUCPU, resource granularity price U of 1GB internal memoryMEM, the resource granularity price of 1GB cloud hard disk
UDIS-1、UDIS-2And UDIS-3, resource granularity price U of 1MB outer net bandwidthNET-BANDWIDTH, the resource granularity valency of 1MB outer net flow
Lattice UNET-FLOW；Wherein, UDIS-1、UDIS-2And UDIS-3Corresponding cloud hard disk is that SATA storage, SAS storage and SSD store three kinds and deposit respectively
The resource granularity price of storage type.
The charging method of cloud infrastructure services the most according to claim 3, it is characterised in that in step S1, described money
Source total amount price PtypeFor multiple resource charging granularities in minimum chargeable time unit UTIMEInterior price, and
Ptype=Ctype×Utype
Or Ptype=Utypeloga(Ctype+ 1), (a ＞ 1),
Wherein, type represents resource type, CtypeRepresent resource charging granularity quantity, UtypeRepresent resource granularity price.
The charging method of cloud infrastructure services the most according to claim 4, it is characterised in that in step S2, described void
Intend machine information table include virtual machine image type, CPU core number, memory size, SATA cloud hard-disk capacity, SAS cloud hard-disk capacity,
SSD cloud hard-disk capacity, the outer net network bandwidth, outer net network traffics, start time, reserved lease time, virtual machine state, virtual
Machine price, charging point and virtual machine lease expenses.
The charging method of cloud infrastructure services the most according to claim 5, it is characterised in that in step S2, described void
Plan machine operation price is the virtual machine of running status price in minimum chargeable time unit, and its computational methods are as follows:
Wherein, PVM-RUNNINGVirtual machine runs price, PDIS=PDIS1+PDIS2+PDIS3, when outer net network selects to charge by flow,
PNETValue 0, the expense that outer net network produces is by the flow rate calculation produced actual in each chargeable time unit.
The charging method of cloud infrastructure services the most according to claim 6, it is characterised in that in step S3, described meter
When taking strategy for reserved lease, user applies for specifying during virtual machine reserved lease time TRESERVE, the lease expenses of virtual machine
COSTRESERVEComputational methods be:
Wherein, α is cost coefficient, TRESERVEThe biggest, α value is the least.
The charging method of cloud infrastructure services the most according to claim 7, it is characterised in that in step S3, described meter
When taking strategy for reserved lease, if virtual machine has run TUSEDAfter time, user wants to apply in advance discharging resources of virtual machine, then
Collect a part of penalty and retreat still remaining paid expense, need the fee calculation procedure being returned to user to be:
Wherein, β is penalty coefficient, TUSED/TRESERVEThe least, β value is the biggest.
The charging method of cloud infrastructure services the most according to claim 6, it is characterised in that in step S3, described meter
When taking strategy for pay-for-use, virtual machine state includes running status, stopped status or sleep state, and virtual machine state changes bag
Include running status shutdown become stopped status, stopped status start become running status, running status hang up become sleep state
And sleep state recovers to become running status；The virtual machine price that virtual machine state is corresponding when being running status is
PVM-RUNNING, the virtual machine price that virtual machine state is corresponding when being stopped status is PVM-SHUTDOWN, virtual machine state is sleep shape
Virtual machine price corresponding during state is PVM-SLEEP, and PVM-SHUTDOWN=a × PVM-RUNNING, PVM-SLEEP=b × PVM-RUNNING, its
In, a, b are the constant more than 0 less than 1；When virtual machine in running user monitoring to the resource utilization mistake of certain dimension
High or too low time, stretch or reduce the resource of this dimension online, after the longitudinally reduction of certain dimension resource of virtual machine, again count
The virtual machine price obtained is PVM-SCALEDOWN, after certain dimension resource Longitudinal Extension of virtual machine, recalculate obtain virtual
Machine price is PVM-SCALEUP。
The charging method of cloud infrastructure services the most according to claim 9, it is characterised in that in step S3, when virtual
Machine state changes, dimension resource is flexible or through a minimum chargeable time unit, calculates described virtual machine from a upper meter
The time-consuming lease expenses being carved into current time, and deduct from account balance；If account balance pays current time unit not
Lease expenses, then force to reclaim virtual machine；Assume that current virtual machine price is P, if current virtual machine outer net network is by band
Wide charging, then this virtual machine lease expenses increases P on the basis of original, if current virtual machine outer net network is by stream
Gauge takes, then this virtual machine lease expenses increases P+C on the basis of originalNET-FLOW×UNET-FLOW。
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610318805.XA CN106257524A (en) | 2016-05-13 | 2016-05-13 | A kind of charging method of cloud infrastructure services |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610318805.XA CN106257524A (en) | 2016-05-13 | 2016-05-13 | A kind of charging method of cloud infrastructure services |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106257524A true CN106257524A (en) | 2016-12-28 |
Family
ID=57714214
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610318805.XA Pending CN106257524A (en) | 2016-05-13 | 2016-05-13 | A kind of charging method of cloud infrastructure services |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106257524A (en) |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106874214A (en) * | 2017-02-15 | 2017-06-20 | 腾讯科技（深圳）有限公司 | The recovery method and relevant apparatus of cloud hard disk resources |
| CN107515777A (en) * | 2017-08-18 | 2017-12-26 | 郑州云海信息技术有限公司 | The management method and device of resources of virtual machine in cloud system |
| CN107665425A (en) * | 2017-09-27 | 2018-02-06 | 曙光信息产业(北京)有限公司 | Real-time charging method and system based on Operation control |
| CN108614737A (en) * | 2018-05-11 | 2018-10-02 | 阿里巴巴集团控股有限公司 | Recovery method as resource, device and server |
| CN109445711A (en) * | 2018-11-07 | 2019-03-08 | 郑州云海信息技术有限公司 | A kind of method and device for business processing based on cloud platform |
| CN109450654A (en) * | 2018-11-02 | 2019-03-08 | 中山大学 | A kind of cloud service charging method based on demand change |
| CN109743183A (en) * | 2019-01-07 | 2019-05-10 | 北京云基数技术有限公司 | A kind of cloud charging method and system |
| CN109801135A (en) * | 2019-01-16 | 2019-05-24 | 金蝶软件（中国）有限公司 | Bill generation method, device, computer equipment and storage medium |
| CN110166260A (en) * | 2019-05-29 | 2019-08-23 | 北京首都在线科技股份有限公司 | Multidrop network charging method and system |
| CN109214877B (en) * | 2017-06-30 | 2020-12-25 | 北京金山云网络技术有限公司 | Order creation system, method, electronic device and computer-readable storage medium |
| CN112311590A (en) * | 2020-09-25 | 2021-02-02 | 浙江宇视科技有限公司 | Cloud service lease optimization method, device, equipment and medium |
| CN113315642A (en) * | 2020-07-27 | 2021-08-27 | 阿里巴巴集团控股有限公司 | Resource metering processing method and device and cloud service system |
| CN113934543A (en) * | 2021-10-21 | 2022-01-14 | 江苏安超云软件有限公司 | Universal charging method and device for cloud resources, electronic equipment and storage medium |
| CN113947441A (en) * | 2021-10-29 | 2022-01-18 | 重庆忽米网络科技有限公司 | Charging method for application of software as a service (SaaS) industrial Application (APP) |
| CN114697146A (en) * | 2020-12-14 | 2022-07-01 | 中国石油化工股份有限公司 | Charging management method for exploration and development cloud application service |
| US11537433B2 (en) | 2021-01-29 | 2022-12-27 | Kyndryl, Inc. | Resource and asset lifecycle costing |
| WO2023207951A1 (en) * | 2022-04-29 | 2023-11-02 | 华为云计算技术有限公司 | Cloud resource billing method and apparatus based on public cloud technology, and cloud management platform |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103095471A (en) * | 2013-01-25 | 2013-05-08 | 浪潮电子信息产业股份有限公司 | Charging method based on usage amount in cloud operating system (OS) |
| CN103414576A (en) * | 2013-07-24 | 2013-11-27 | 广东电子工业研究院有限公司 | Charging method for use of cloud computing resources |
| CN103475495A (en) * | 2013-07-23 | 2013-12-25 | 国云科技股份有限公司 | Cloud-computing virtual-machine resource-usage charging method |
| CN104156303A (en) * | 2014-08-22 | 2014-11-19 | 成都致云科技有限公司 | High-accuracy virtual calculation amount calculation method |
-
2016
- 2016-05-13 CN CN201610318805.XA patent/CN106257524A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103095471A (en) * | 2013-01-25 | 2013-05-08 | 浪潮电子信息产业股份有限公司 | Charging method based on usage amount in cloud operating system (OS) |
| CN103475495A (en) * | 2013-07-23 | 2013-12-25 | 国云科技股份有限公司 | Cloud-computing virtual-machine resource-usage charging method |
| CN103414576A (en) * | 2013-07-24 | 2013-11-27 | 广东电子工业研究院有限公司 | Charging method for use of cloud computing resources |
| CN104156303A (en) * | 2014-08-22 | 2014-11-19 | 成都致云科技有限公司 | High-accuracy virtual calculation amount calculation method |
Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106874214A (en) * | 2017-02-15 | 2017-06-20 | 腾讯科技（深圳）有限公司 | The recovery method and relevant apparatus of cloud hard disk resources |
| CN109214877B (en) * | 2017-06-30 | 2020-12-25 | 北京金山云网络技术有限公司 | Order creation system, method, electronic device and computer-readable storage medium |
| CN107515777A (en) * | 2017-08-18 | 2017-12-26 | 郑州云海信息技术有限公司 | The management method and device of resources of virtual machine in cloud system |
| CN107665425A (en) * | 2017-09-27 | 2018-02-06 | 曙光信息产业(北京)有限公司 | Real-time charging method and system based on Operation control |
| CN107665425B (en) * | 2017-09-27 | 2021-07-30 | 曙光信息产业(北京)有限公司 | Real-time charging method and system based on operation control |
| CN108614737A (en) * | 2018-05-11 | 2018-10-02 | 阿里巴巴集团控股有限公司 | Recovery method as resource, device and server |
| CN109450654A (en) * | 2018-11-02 | 2019-03-08 | 中山大学 | A kind of cloud service charging method based on demand change |
| CN109450654B (en) * | 2018-11-02 | 2021-07-13 | 中山大学 | Cloud service charging method based on demand change |
| CN109445711A (en) * | 2018-11-07 | 2019-03-08 | 郑州云海信息技术有限公司 | A kind of method and device for business processing based on cloud platform |
| CN109743183A (en) * | 2019-01-07 | 2019-05-10 | 北京云基数技术有限公司 | A kind of cloud charging method and system |
| CN109801135A (en) * | 2019-01-16 | 2019-05-24 | 金蝶软件（中国）有限公司 | Bill generation method, device, computer equipment and storage medium |
| CN110166260A (en) * | 2019-05-29 | 2019-08-23 | 北京首都在线科技股份有限公司 | Multidrop network charging method and system |
| CN113315642A (en) * | 2020-07-27 | 2021-08-27 | 阿里巴巴集团控股有限公司 | Resource metering processing method and device and cloud service system |
| CN112311590A (en) * | 2020-09-25 | 2021-02-02 | 浙江宇视科技有限公司 | Cloud service lease optimization method, device, equipment and medium |
| CN112311590B (en) * | 2020-09-25 | 2023-03-24 | 浙江宇视科技有限公司 | Cloud service lease optimization method, device, equipment and medium |
| CN114697146A (en) * | 2020-12-14 | 2022-07-01 | 中国石油化工股份有限公司 | Charging management method for exploration and development cloud application service |
| CN114697146B (en) * | 2020-12-14 | 2024-04-19 | 中国石油化工股份有限公司 | Charging management method for exploration and development cloud application service |
| US11537433B2 (en) | 2021-01-29 | 2022-12-27 | Kyndryl, Inc. | Resource and asset lifecycle costing |
| CN113934543A (en) * | 2021-10-21 | 2022-01-14 | 江苏安超云软件有限公司 | Universal charging method and device for cloud resources, electronic equipment and storage medium |
| CN113947441A (en) * | 2021-10-29 | 2022-01-18 | 重庆忽米网络科技有限公司 | Charging method for application of software as a service (SaaS) industrial Application (APP) |
| WO2023207951A1 (en) * | 2022-04-29 | 2023-11-02 | 华为云计算技术有限公司 | Cloud resource billing method and apparatus based on public cloud technology, and cloud management platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106257524A (en) | A kind of charging method of cloud infrastructure services | |
| US9917782B2 (en) | Equitable distribution of excess shared-resource throughput capacity | |
| Agmon Ben-Yehuda et al. | The rise of RaaS: the resource-as-a-service cloud | |
| US9471393B2 (en) | Burst-mode admission control using token buckets | |
| US9385956B2 (en) | Compound token buckets for burst-mode admission control | |
| US9218221B2 (en) | Token sharing mechanisms for burst-mode operations | |
| US8074223B2 (en) | Permanently activating resources based on previous temporary resource usage | |
| US10764185B2 (en) | Token-based policies burst-mode operations | |
| US20050010502A1 (en) | Apparatus and method for providing metered capacity of computer resources | |
| CA2915996C (en) | Burst mode control | |
| US11886851B2 (en) | Multi-cloud licensed software deployment | |
| US20070043672A1 (en) | Per unit basis software licensing model | |
| US11190415B2 (en) | Flexible capacity reservations for network-accessible resources | |
| CN108171540A (en) | For the method and apparatus of resource metering and billing | |
| US20110145612A1 (en) | Method and System to Determine and Optimize Energy Consumption of Computer Systems | |
| WO2018081421A1 (en) | Systems and methods for allocating input/output bandwidth in storage systems | |
| CN111162921B (en) | Multi-account cloud service usage package sharing method and device and related equipment | |
| WO2022100534A1 (en) | Virtual instance setting method and apparatus | |
| US20150012398A1 (en) | Credit optimization to minimize latency | |
| Zhang et al. | Workload consolidation in alibaba clusters: the good, the bad, and the ugly | |
| Mian et al. | Estimating resource costs of data-intensive workloads in public clouds | |
| JP2006523875A (en) | Apparatus, method and program for providing computer resource measurement capacity | |
| WO2023142920A1 (en) | Cloud service billing method and apparatus | |
| WO2024067672A1 (en) | Cloud resource charging method, cloud management platform, computing device, and storage medium | |
| US11650853B2 (en) | Systems and methods for managing resources in resource-consuming computational systems and processes |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20161228 |
|
| WD01 | Invention patent application deemed withdrawn after publication |