CN108170520A - A kind of cloud computing resources management method and device - Google Patents
A kind of cloud computing resources management method and device Download PDFInfo
- Publication number
- CN108170520A CN108170520A CN201810083604.5A CN201810083604A CN108170520A CN 108170520 A CN108170520 A CN 108170520A CN 201810083604 A CN201810083604 A CN 201810083604A CN 108170520 A CN108170520 A CN 108170520A
- Authority
- CN
- China
- Prior art keywords
- host
- target
- machine
- resource information
- virtual machine
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
- G06F9/5077—Logical partitioning of resources; Management or configuration of virtualized resources
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45562—Creating, deleting, cloning virtual machine instances
Landscapes
- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer And Data Communications (AREA)
Abstract
The present invention provides a kind of cloud computing resources management method and devices, this method can plan the cloud computing resources of target cloud platform and certain strategy is taken to distribute to target tenant, so as to when the user of target tenant initiates virtual machine creating request, the target host machine for creating virtual machine is chosen for user, to complete virtual machine creating.Based on this, it can be achieved that under multi-tenant environment host resource fine granularity management, improve the flexibility that uses of cloud platform, save cloud platform exploitation and O&M cost.
Description
Technical field
The present invention relates to field of cloud computer technology, more specifically to a kind of cloud computing resources management method and device.
Background technology
With the fast development of cloud computing, cloud platform bearer service type is increasingly various, for the money under multi-tenant environment
Source control proposes higher requirement.
It, can will be in cluster in the existing cloud computing management platform Open Stack that increase income carry out multi-tenant resource management process
Whole hosts are abstracted as a computing resource pond, that is to say, that can carry out host using host entirety as screening object
Selection, and then create virtual machine on selected host.But due to can not fine granularity management cloud computing resources, this is just
The situation for occurring on more scheduling virtual machines to same host is likely to, it is very dumb on using, so as to restrict cloud platform
Development and application under enterprise's production environment.
Invention content
In view of this, the present invention provides a kind of cloud computing resources management method and device, to solve more scheduling virtual machines
The problem of on to same host.Technical solution is as follows:
A kind of cloud computing resources management method, including:
Place in cluster corresponding to the shared memory space resource information and the target cloud platform of acquisition target cloud platform
The host resource information of host;
According to the shared memory space resource information, the host resource information of the host and target tenant
Default resource allocation policy is that the target tenant distributes target host machine and the target host machine from the host
Target host machine resource information;
Receive the virtual machine creating request transmitted by user in the target tenant;
According to virtual machine creating request and the target host machine resource information of the target host machine, from the mesh
It is that the user chooses to create the target host machine of virtual machine, and create on selected target host machine in mark host
Build virtual machine.
Preferably, the shared memory space resource information for obtaining target cloud platform and target cloud platform institute are right
The host resource information of host in cluster is answered, including:
Host inquiry request and shared memory space inquiry request are sent to target cloud platform;
Receive the list of host details and the host that the target cloud platform is fed back based on the host inquiry request
The shared storage that machine resource detail information and the target cloud platform are fed back based on the shared memory space inquiry request
Space resources information, wherein, record has corresponding to the target cloud platform host in cluster in the host details list
Host mark;
Machine management system transmission to the target cloud platform carries the hardware inquiry request of the host mark;
Receive the host hardware asset information that the machine management system is fed back based on the hardware inquiry request;
The load query that cluster monitoring system transmission to the target cloud platform carries the host mark is asked;
It receives the cluster monitoring system and fed back host load resource information is asked based on the load query;
According to the host resource detail information of the host, the host hardware asset information and described
Host load resource information generates host resource information.
Preferably, it is described according to the shared memory space resource information, the host resource information of the host with
And the default resource allocation policy of target tenant, it is that the target tenant distributes target host machine and institute from the host
The target host machine resource information of target host machine is stated, including:
Host selection rule and the target tenant are obtained from the default resource allocation policy of the target tenant
Tenant's demand resource information;
It is that the target tenant distributes target host machine from the host according to the host selection rule;
According to the shared memory space resource information, the host resource information of the target host machine and the rent
Family resource requirement information determines the target host machine resource information of the target host machine.
Preferably, the target host machine resource according to virtual machine creating request and the target host machine is believed
Breath is that the user chooses target host machine for creating virtual machine, and in selected mesh from the target host machine
Virtual machine is created on mark host, including:
Deploying virtual machine mode and virtual machine creating information, the virtual machine are obtained from virtual machine creating request
It creates information and includes virtual machine creating quantity and virtual machine demand resource information;
According to the deploying virtual machine mode, the virtual machine creating quantity, the virtual machine demand resource information and
The target host machine resource information of the target host machine is that the user chooses to create void from the target host machine
The target host machine of plan machine;
According to the virtual machine demand resource information, virtual machine is created on the selected target virtual machine.
Preferably, after the virtual machine creating request received in the target tenant transmitted by user, including:
The target host machine resource information of the target host machine and the target host machine is reassigned.
A kind of cloud computing resources managing device, including:Acquisition module, distribution module, receiving module and creation module;
The acquisition module is put down for obtaining the shared memory space resource information of target cloud platform and the target cloud
Corresponding to platform in cluster host host resource information;
The distribution module, for according to the shared memory space resource information, the host resource of the host
Information and the default resource allocation policy of target tenant are that the target tenant distributes target host machine from the host
And the target host machine resource information of the target host machine;
The receiving module, for receiving the virtual machine creating request in the target tenant transmitted by user;
The creation module, for the target host machine according to virtual machine creating request and the target host machine
Resource information is that the user chooses target host machine for creating virtual machine, and selected from the target host machine
Virtual machine is created on the target host machine taken.
Preferably, the acquisition module, is specifically used for:
Host inquiry request and shared memory space inquiry request are sent to target cloud platform;Receive the target cloud
Host details list that platform is fed back based on the host inquiry request and host resource detail information and described
The shared memory space resource information that target cloud platform is fed back based on the shared memory space inquiry request, wherein, it is described
The host that record has host in cluster corresponding to the target cloud platform in host details list identifies;To the target
The machine management system transmission of cloud platform carries the hardware inquiry request of the host mark;Receive the machine handing system
The host hardware asset information that system is fed back based on the hardware inquiry request;To the cluster monitoring system of the target cloud platform
System sends the load query request for carrying the host mark;It receives the cluster monitoring system and is based on the load query
The fed back host load resource information of request;According to the host resource detail information of the host, the place
Host hardware resource information and the host load resource information generate host resource information.
Preferably, the distribution module, is specifically used for:
Host selection rule and the target tenant are obtained from the default resource allocation policy of the target tenant
Tenant's demand resource information;It is that the target tenant distributes mesh from the host according to the host selection rule
Mark host;According to the shared memory space resource information, the host resource information of the target host machine and described
Tenant's resource requirement information determines the target host machine resource information of the target host machine.
Preferably, the creation module, is specifically used for:
Deploying virtual machine mode and virtual machine creating information, the virtual machine are obtained from virtual machine creating request
It creates information and includes virtual machine creating quantity and virtual machine demand resource information;According to the deploying virtual machine mode, described
The target host machine resource information of virtual machine creating quantity, the virtual machine demand resource information and the target host machine,
It is that the user chooses target host machine for creating virtual machine from the target host machine;According to the virtual machine demand
Resource information creates virtual machine on the selected target virtual machine.
Preferably, it further includes:Reallocation module;
The reallocation module, for the target host machine resource to the target host machine and the target host machine
Information is reassigned.
Compared to the prior art, what the present invention realized has the beneficial effect that:
A kind of above cloud computing resources management method provided by the invention and device, this method can be to target cloud platforms
Cloud computing resources are planned and certain strategy are taken to distribute to target tenant, so as to initiate virtual machine in the user of target tenant
During request to create, the target host machine for creating virtual machine is chosen for user, to complete virtual machine creating.It, can be real based on this
The fine granularity management of host resource under existing multi-tenant environment improves the flexibility that cloud platform uses, save cloud platform exploitation and
O&M cost.
Description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention, for those of ordinary skill in the art, without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is the method flow diagram of cloud computing resources management method provided in an embodiment of the present invention;
Fig. 2 is the Part Methods flow chart of cloud computing resources management method provided in an embodiment of the present invention;
Fig. 3 is another part method flow diagram of cloud computing resources management method provided in an embodiment of the present invention;
Fig. 4 is the another method flow chart of cloud computing resources management method provided in an embodiment of the present invention;
Fig. 5 is the structure diagram of cloud computing resources managing device provided in an embodiment of the present invention;
Fig. 6 is another structure diagram of cloud computing resources managing device provided in an embodiment of the present invention.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other without making creative work
Embodiment shall fall within the protection scope of the present invention.
Multi-tenant environment:Many tissues (including but not limited to department, project or service line etc.) are using same answer
During with program (or system), it has to be possible to the user in tissue be allowed to access user program, and application program must only allow
The member of oneself is each organized to access the content and resource for belonging to its tissue.
Cloud computing resources:The computing resource that virtual machine is supported to run in finger cloud computing platform, including but not limited to cpu,
Memory, hard drive space, shared storage, ip addresses, domain name etc..
The embodiment of the present invention provides a kind of cloud computing resources management method, and the method flow diagram of this method is as shown in Figure 1, packet
Include following steps:
S10, place in cluster corresponding to the acquisition shared memory space resource information of target cloud platform and target cloud platform
The host resource information of host;
In the present embodiment, shared memory space resource information include the shared memory space of target cloud platform position,
The attribute informations such as size, creation time, host resource information then include the object of host in cluster corresponding to target cloud platform
Reason computing resource (such as cpu, memory, hard drive space etc.), host service life (than such as whether crossing guarantor etc.), host are nearest
Operation load in a period of time etc..
During specific implementation, step S10 " obtains the shared memory space resource information of target cloud platform and target cloud
Corresponding to platform in cluster host host resource information " can specifically use following steps, method flow diagram such as Fig. 2 institutes
Show:
S101 sends host inquiry request and shared memory space inquiry request to target cloud platform;
S102 receives the list of host details and target cloud that target cloud platform is fed back based on host inquiry request
The shared memory space resource information that platform is fed back based on shared memory space inquiry request, wherein, the host details
The host that record has host in cluster corresponding to target cloud platform in list identifies;
In the present embodiment, host mark is for indicating the host in cluster, including but not limited to host ip
Location, host sequence code etc., the present embodiment is not specifically limited this.Host resource detail information is then used to characterize host
Upper physical computing resources, for example, cpu, memory, hard drive space total amount information.
S103, the machine management system transmission to target cloud platform carry the hardware inquiry request of host mark;
In the present embodiment, machine management system is the server apparatus possessed in enterprise data center, the network equipment
Deng the system for carrying out asset management, the inquiry API provided is supported the hardware such as the service life including server, position correlation
Information returns to caller.
S104 receives the host hardware asset information that machine management system is fed back based on hardware inquiry request;
In the present embodiment, host hardware asset information includes but is not limited to host service life, in computer room
The hardware relevant information such as position.
S105, the load query that the cluster monitoring system transmission to target cloud platform carries host mark are asked;
S106 is received cluster monitoring system and fed back host load resource information is asked based on load query;
In the present embodiment, host load resource information includes the loading condition of cpu, memory, hard disk etc., can be with one week
Or one month is statistical unit, it is most concerned that the dimension of acquisition includes but is not limited to the tenants such as load mean value, maximum value
Machine state index.
S107 is loaded according to the host resource detail information of host, host hardware asset information and host
Resource information generates host resource information;
Host resource information is by host resource detail information, host hardware asset information and host load resource
Information three parts are formed.
S20, according to the default of shared memory space resource information, the host resource information of host and target tenant
Resource allocation policy distributes the target host machine resource of target host machine and target host machine from host for target tenant
Information;
In the present embodiment, host selection rule and tenant are included in the default resource allocation policy of target tenant to be needed
Seek resource information, for example, required cpu, memory or hardware space etc., and host selection rule can according to actual needs into
Row setting, for example, can be that percentage is distributed, freely distributed, is in mean allocation, load distribution and the preferential distribution that reuses arbitrary
One kind below simply introduces above-mentioned several host selection rules:
Percentage distributes, total money of every resource that administrator may specify to the host of distribution resource and will distribute
Source is measured, meanwhile, administrator is the percentage that target tenant specifies the host for obtaining stock number according to the business characteristic of target tenant
Compare weights.
It freely distributes, administrator only needs the specified host that distribute resource and the total resources of every resource that will be distributed
Amount, the percentage weights without the specified host for obtaining stock number.
Mean allocation, the total resources of every resource that administrator may specify to the host of distribution resource and will distribute
Amount, meanwhile, administrator is the percentage that target tenant specifies the host for obtaining stock number according to the business characteristic of target tenant
Weights, the percentage weights of each host are identical at this time.
Load distribution, cloud platform tenant often have the operating status index of host to meet own service demand
Required, administrator can be according to the host load resource information in host resource information, for example, cpu loading index, refers to
The host distribution target tenant that cpu load factors are low in timing section uses.Certainly, which can load according to host and provide
Source information carries out fine-grained differentiation, meets the particular traffic requirements of tenant as far as possible.
Reuse preferential distribution, since tenant tends to use high-performance, completely new server resource as establishment virtual machine
Host, administrator can be long by service life in set period according to the host service life in host resource information
Host filter out, chosen from remaining host in conjunction with above-mentioned rule.
After target host machine is distributed for target tenant according to host selection rule, provided further according to the communal space
Source information, the host resource information of target host machine and tenant's resource requirement information determine the target place of target host machine
Host resource information, that is, target tenant occupied host resource information on target host machine.
S30 receives the virtual machine creating request transmitted by user in target tenant;
S40, according to virtual machine creating request and the target host machine resource information of target host machine, from target host machine
In chosen for user for creating the target host machine of virtual machine, and virtual machine is created on selected target host machine;
In the present embodiment, it can be used for according to the target host machine resource information of user demand and target host machine to choose
The target host machine of virtual machine is created, for example, under specific transactions scene, in order to avoid region factors such as network delays
It influences, the virtual machine of target tenant will be deployed in as possible on same host, needed at this time by the way of deployment is concentrated;And
Under other scene, in order to ensure the high availability of cluster virtual machine, the resource that virtual machine will be possessed in tenant as possible
In spread out, to reduce the influence broken down due to certain host to cluster virtual machine, needed at this time using score portion
The mode of administration.
During specific implementation, " according to virtual machine creating request and the target host machine of target host machine in step S40
Resource information is chosen for user for creating the target host machine of virtual machine, and in selected target from target host machine
Virtual machine is created on host " following steps can be specifically used, method flow diagram is as shown in Figure 3:
S401 obtains deploying virtual machine mode and virtual machine creating information from virtual machine creating request, described virtual
Machine creates information and includes virtual machine creating quantity and virtual machine demand resource information;
S402, according to deploying virtual machine mode, virtual machine creating quantity, virtual machine demand resource information and target host
The target host machine resource information of machine is that the user chooses target host for creating virtual machine from target host machine
Machine;
In the present embodiment, if virtual machine creating mode is disposed to concentrate, needing will be for creating the target place of virtual machine
Position of the host in computer room is concentrated as far as possible, can choose target host machine further according to virtual machine creating quantity at this time, with
Meet virtual machine demand resource information;Conversely, if virtual machine creating mode is disposed for dispersion, need to create virtual machine
Position of the target host machine in computer room disperses as far as possible, can choose target host further according to virtual machine creating quantity at this time
Machine, to meet virtual machine demand resource information.
According to virtual machine demand resource information, virtual machine is created on selected target virtual machine by S403.
In some other embodiment, to improve the overall utilization rate of resource, in the cloud computing money that above-described embodiment provides
On the basis of power supply management method, following steps are further included, method flow diagram is as shown in Figure 4:
S50 reassigns the target host machine resource information of target host machine and target host machine;
In the present embodiment, administrator can hand to target tenant or to target according to by the cloud computing resources of certain tenant
The existing cloud computing resources of tenant are recycled.
Above step S101~step S107 is only that the step S10 that the embodiment of the present application discloses " obtains target cloud platform
Shared memory space resource information and target cloud platform corresponding in cluster host host resource information " process
A kind of preferred realization method, the specific implementation in relation to this process can arbitrarily set according to the demand of oneself, not do herein
It limits.
Above step S401~step S403 is only step S40 that the embodiment of the present application discloses " according to virtual machine creating
Request and the target host machine resource information of target host machine are that user chooses to create virtual machine from target host machine
Target host machine, and create virtual machine on selected target host machine " a kind of preferred realization method of process, it is related
The specific implementation of this process can arbitrarily be set according to the demand of oneself, not limited herein.
Cloud computing resources management method provided in an embodiment of the present invention can carry out the cloud computing resources of target cloud platform
It plans and certain strategy is taken to distribute to target tenant, so as to when the user of target tenant initiates virtual machine creating request, be
User chooses the target host machine for creating virtual machine, to complete virtual machine creating.Based on this, it can be achieved that under multi-tenant environment
The fine granularity management of host resource improves the flexibility that cloud platform uses, and saves cloud platform exploitation and O&M cost.
Based on the cloud computing resources management method that above-described embodiment provides, then corresponding offer execution is above-mentioned for the embodiment of the present invention
The device of cloud computing resources management method, the structure diagram of the device as shown in figure 5, including:Acquisition module 10, distribution module
20th, receiving module 30 and creation module 40;
Acquisition module 10, it is right for obtaining the shared memory space resource information of target cloud platform and target cloud platform institute
Answer the host resource information of host in cluster;
Distribution module 20, for according to shared memory space resource information, the host resource information of host and mesh
The default resource allocation policy of tenant is marked, distributes the mesh of target host machine and target host machine for target tenant from host
Mark host resource information;
Receiving module 30, for receiving the virtual machine creating request in target tenant transmitted by user;
Creation module 40, for according to virtual machine creating request and target host machine target host machine resource information,
It is that user chooses to create the target host machine of virtual machine, and create on selected target host machine from target host machine
Build virtual machine.
In some other embodiment, acquisition module 10 is specifically used for:
Host inquiry request and shared memory space inquiry request are sent to target cloud platform;Receive target cloud platform
The host details list fed back based on host inquiry request and host resource detail information and target cloud platform base
In the shared memory space resource information that shared memory space inquiry request is fed back, wherein, in the host details list
The host that record has host in cluster corresponding to target cloud platform identifies;It is sent to the machine management system of target cloud platform
Carry the hardware inquiry request of host mark;Receive the host that machine management system is fed back based on hardware inquiry request
Hardware asset information;The load query that cluster monitoring system transmission to target cloud platform carries host mark is asked;It connects
It receives cluster monitoring system and fed back host load resource information is asked based on load query;It is provided according to the host of host
Source detail information, host hardware asset information and host load resource information generate host resource information.
In some other embodiment, distribution module 20 is specifically used for:
The tenant that host selection rule and target tenant are obtained from the default resource allocation policy of target tenant needs
Seek resource information;According to host selection rule, target host machine is distributed for target tenant from host;According to shared storage
Space resources information, the host resource information of target host machine and tenant's resource requirement information, determine target host machine
Target host machine resource information.
In some other embodiment, creation module 40 is specifically used for:
Deploying virtual machine mode and virtual machine creating information, the virtual machine creating are obtained from virtual machine creating request
Information includes virtual machine creating quantity and virtual machine demand resource information;According to deploying virtual machine mode, virtual machine creating number
The target host machine resource information of amount, virtual machine demand resource information and target host machine is user from target host machine
Choose the target host machine for creating virtual machine;According to virtual machine demand resource information, on selected target virtual machine
Create virtual machine.
In some other embodiment, to improve the overall utilization rate of resource, in the cloud computing money that above-described embodiment provides
On the basis of source control device, following module is further included, structure diagram is as shown in Figure 6:
Reallocation module 50 carries out weight for the target host machine resource information to target host machine and target host machine
Distribution.
Cloud computing resources managing device provided in an embodiment of the present invention can carry out the cloud computing resources of target cloud platform
It plans and certain strategy is taken to distribute to target tenant, so as to when the user of target tenant initiates virtual machine creating request, be
User chooses the target host machine for creating virtual machine, to complete virtual machine creating.Based on this, it can be achieved that under multi-tenant environment
The fine granularity management of host resource improves the flexibility that cloud platform uses, and saves cloud platform exploitation and O&M cost.
A kind of cloud computing resources management method provided by the present invention and device are described in detail above, herein
It applies specific case to be expounded the principle of the present invention and embodiment, the explanation of above example is only intended to help
Understand the method and its core concept of the present invention;Meanwhile for those of ordinary skill in the art, thought according to the present invention,
There will be changes in specific embodiments and applications, in conclusion the content of the present specification should not be construed as to this
The limitation of invention.
It should be noted that each embodiment in this specification is described by the way of progressive, each embodiment weight
Point explanation is all difference from other examples, and just to refer each other for identical similar part between each embodiment.
For device disclosed in embodiment, since it is corresponded to the methods disclosed in the examples, so fairly simple, the phase of description
Part is closed referring to method part illustration.
It should also be noted that, herein, relational terms such as first and second and the like are used merely to one
Entity or operation are distinguished with another entity or operation, without necessarily requiring or implying between these entities or operation
There are any actual relationship or orders.Moreover, term " comprising ", "comprising" or its any other variant are intended to contain
Lid non-exclusive inclusion, so that the element that process, method, article or equipment including a series of elements are intrinsic,
It either further includes as these processes, method, article or the intrinsic element of equipment.In the absence of more restrictions,
The element limited by sentence "including a ...", it is not excluded that in the process including the element, method, article or equipment
In also there are other identical elements.
The foregoing description of the disclosed embodiments enables professional and technical personnel in the field to realize or use the present invention.
A variety of modifications of these embodiments will be apparent for those skilled in the art, it is as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, it is of the invention
The embodiments shown herein is not intended to be limited to, and is to fit to and the principles and novel features disclosed herein phase one
The most wide range caused.
Claims (10)
1. a kind of cloud computing resources management method, which is characterized in that including:
Host in cluster corresponding to the shared memory space resource information and the target cloud platform of acquisition target cloud platform
Host resource information;
According to the default of the shared memory space resource information, the host resource information of the host and target tenant
Resource allocation policy is the mesh that the target tenant distributes target host machine and the target host machine from the host
Mark host resource information;
Receive the virtual machine creating request transmitted by user in the target tenant;
According to virtual machine creating request and the target host machine resource information of the target host machine, from the target place
It is that the user chooses target host machine for creating virtual machine in host, and creates on selected target host machine empty
Plan machine.
2. the according to the method described in claim 1, it is characterized in that, shared memory space resource for obtaining target cloud platform
Corresponding to information and the target cloud platform in cluster host host resource information, including:
Host inquiry request and shared memory space inquiry request are sent to target cloud platform;
Receive the list of host details and the host money that the target cloud platform is fed back based on the host inquiry request
The shared memory space that source detail information and the target cloud platform are fed back based on the shared memory space inquiry request
Resource information, wherein, record has the place of host in cluster corresponding to the target cloud platform in the host details list
Host identification;
Machine management system transmission to the target cloud platform carries the hardware inquiry request of the host mark;
Receive the host hardware asset information that the machine management system is fed back based on the hardware inquiry request;
The load query that cluster monitoring system transmission to the target cloud platform carries the host mark is asked;
It receives the cluster monitoring system and fed back host load resource information is asked based on the load query;
According to the host resource detail information, the host hardware asset information and the host of the host
Machine load resource information generates host resource information.
It is 3. according to the method described in claim 1, it is characterized in that, described according to the shared memory space resource information, institute
The host resource information of host and the default resource allocation policy of target tenant are stated, is the mesh from the host
The target host machine resource information that tenant distributes target host machine and the target host machine is marked, including:
Host selection rule and the rent of the target tenant are obtained from the default resource allocation policy of the target tenant
Family demand resource information;
It is that the target tenant distributes target host machine from the host according to the host selection rule;
It is provided according to the shared memory space resource information, the host resource information of the target host machine and the tenant
Source demand information determines the target host machine resource information of the target host machine.
It is 4. according to the method described in claim 1, it is characterized in that, described according to virtual machine creating request and the mesh
The target host machine resource information of host is marked, is that the user chooses to create virtual machine from the target host machine
Target host machine, and virtual machine is created on selected target host machine, including:
Deploying virtual machine mode and virtual machine creating information, the virtual machine creating are obtained from virtual machine creating request
Information includes virtual machine creating quantity and virtual machine demand resource information;
According to the deploying virtual machine mode, the virtual machine creating quantity, the virtual machine demand resource information and described
The target host machine resource information of target host machine is that the user chooses to create virtual machine from the target host machine
Target host machine;
According to the virtual machine demand resource information, virtual machine is created on the selected target virtual machine.
5. the according to the method described in claim 1, it is characterized in that, void received in the target tenant transmitted by user
After plan machine request to create, including:
The target host machine resource information of the target host machine and the target host machine is reassigned.
6. a kind of cloud computing resources managing device, which is characterized in that including:Acquisition module, distribution module, receiving module and establishment
Module;
The acquisition module, for obtaining the shared memory space resource information of target cloud platform and the target cloud platform institute
The host resource information of host in corresponding cluster;
The distribution module, for according to the shared memory space resource information, the host resource information of the host
And the default resource allocation policy of target tenant, from the host be the target tenant distribute target host machine and
The target host machine resource information of the target host machine;
The receiving module, for receiving the virtual machine creating request in the target tenant transmitted by user;
The creation module, for the target host machine resource according to virtual machine creating request and the target host machine
Information is that the user chooses target host machine for creating virtual machine, and selected from the target host machine
Virtual machine is created on target host machine.
7. device according to claim 6, which is characterized in that the acquisition module is specifically used for:
Host inquiry request and shared memory space inquiry request are sent to target cloud platform;Receive the target cloud platform
The host details list fed back based on the host inquiry request and host resource detail information and the target
The shared memory space resource information that cloud platform is fed back based on the shared memory space inquiry request, wherein, the host
The host that record has host in cluster corresponding to the target cloud platform in machine details list identifies;It is put down to the target cloud
The machine management system transmission of platform carries the hardware inquiry request of the host mark;Receive the machine management system base
In the host hardware asset information that the hardware inquiry request is fed back;It is sent out to the cluster monitoring system of the target cloud platform
Send the load query request for carrying the host mark;The cluster monitoring system is received to ask based on the load query
The host load resource information fed back;According to the host resource detail information, the host of the host
Hardware asset information and the host load resource information generate host resource information.
8. device according to claim 6, which is characterized in that the distribution module is specifically used for:
Host selection rule and the rent of the target tenant are obtained from the default resource allocation policy of the target tenant
Family demand resource information;It is that the target tenant distributes target place from the host according to the host selection rule
Host;According to the shared memory space resource information, the host resource information of the target host machine and the tenant
Resource requirement information determines the target host machine resource information of the target host machine.
9. device according to claim 6, which is characterized in that the creation module is specifically used for:
Deploying virtual machine mode and virtual machine creating information, the virtual machine creating are obtained from virtual machine creating request
Information includes virtual machine creating quantity and virtual machine demand resource information;According to the deploying virtual machine mode, described virtual
Machine creates the target host machine resource information of quantity, the virtual machine demand resource information and the target host machine, from institute
State in target host machine is that the user chooses target host machine for creating virtual machine;According to the virtual machine demand resource
Information creates virtual machine on the selected target virtual machine.
10. device according to claim 6, which is characterized in that further include:Reallocation module;
The reallocation module, for the target host machine resource information to the target host machine and the target host machine
It is reassigned.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810083604.5A CN108170520A (en) | 2018-01-29 | 2018-01-29 | A kind of cloud computing resources management method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810083604.5A CN108170520A (en) | 2018-01-29 | 2018-01-29 | A kind of cloud computing resources management method and device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108170520A true CN108170520A (en) | 2018-06-15 |
Family
ID=62515827
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810083604.5A Pending CN108170520A (en) | 2018-01-29 | 2018-01-29 | A kind of cloud computing resources management method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108170520A (en) |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108961004A (en) * | 2018-07-06 | 2018-12-07 | 北京金山云网络技术有限公司 | Processing method, device, system, electronic equipment and the medium of cloud service order |
CN109040276A (en) * | 2018-08-20 | 2018-12-18 | 郑州云海信息技术有限公司 | A kind of method, apparatus, computer storage medium and terminal constructing cloud platform |
CN110955409A (en) * | 2019-12-02 | 2020-04-03 | 郑州阿帕斯数云信息科技有限公司 | Method and device for creating resources on cloud platform |
CN111104203A (en) * | 2019-12-13 | 2020-05-05 | 广东省华南技术转移中心有限公司 | Virtual machine decentralized scheduling method and device, electronic device and storage medium |
WO2020147301A1 (en) * | 2019-01-16 | 2020-07-23 | 紫光云数科技有限公司 | Method and apparatus for implementing multi-tenant service access, and electronic device |
CN112311605A (en) * | 2020-11-06 | 2021-02-02 | 北京格灵深瞳信息技术有限公司 | Cloud platform and method for providing machine learning service |
CN112491980A (en) * | 2020-11-13 | 2021-03-12 | 苏州浪潮智能科技有限公司 | Cloud host service management method, system, terminal and storage medium |
CN112882820A (en) * | 2019-11-29 | 2021-06-01 | 北京百度网讯科技有限公司 | Method and device for configuring resources |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102087618A (en) * | 2011-02-12 | 2011-06-08 | 浪潮(北京)电子信息产业有限公司 | Resource management method and system for cloud computing operating system |
CN102958166A (en) * | 2011-08-29 | 2013-03-06 | 华为技术有限公司 | Resource allocation method and resource management platform |
CN103095788A (en) * | 2011-11-02 | 2013-05-08 | 佳都新太科技股份有限公司 | Cloud resource scheduling policy based on network topology |
CN103248659A (en) * | 2012-02-13 | 2013-08-14 | 北京华胜天成科技股份有限公司 | Method and system for dispatching cloud computed resources |
US20130238786A1 (en) * | 2012-03-08 | 2013-09-12 | Empire Technology Development Llc | Secure migration of virtual machines |
CN103593229A (en) * | 2013-11-26 | 2014-02-19 | 西安工程大学 | Integrating and uniform dispatching frame of heterogeneous cloud operation systems and dispatching method thereof |
CN103905529A (en) * | 2014-03-10 | 2014-07-02 | 北京交通大学 | Cloud computing resource allocation method |
CN104023068A (en) * | 2014-06-13 | 2014-09-03 | 北京信诺瑞得软件系统有限公司 | Method of implementing passive mode elastic computing and resource scheduling in load balancing |
CN106354544A (en) * | 2016-08-24 | 2017-01-25 | 华为技术有限公司 | Virtual machine creating method and system and host |
CN107589983A (en) * | 2017-10-11 | 2018-01-16 | 郑州云海信息技术有限公司 | Virtual machine creation method and its device in a kind of cloud computing system |
-
2018
- 2018-01-29 CN CN201810083604.5A patent/CN108170520A/en active Pending
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102087618A (en) * | 2011-02-12 | 2011-06-08 | 浪潮(北京)电子信息产业有限公司 | Resource management method and system for cloud computing operating system |
CN102958166A (en) * | 2011-08-29 | 2013-03-06 | 华为技术有限公司 | Resource allocation method and resource management platform |
CN103095788A (en) * | 2011-11-02 | 2013-05-08 | 佳都新太科技股份有限公司 | Cloud resource scheduling policy based on network topology |
CN103248659A (en) * | 2012-02-13 | 2013-08-14 | 北京华胜天成科技股份有限公司 | Method and system for dispatching cloud computed resources |
US20130238786A1 (en) * | 2012-03-08 | 2013-09-12 | Empire Technology Development Llc | Secure migration of virtual machines |
CN103593229A (en) * | 2013-11-26 | 2014-02-19 | 西安工程大学 | Integrating and uniform dispatching frame of heterogeneous cloud operation systems and dispatching method thereof |
CN103905529A (en) * | 2014-03-10 | 2014-07-02 | 北京交通大学 | Cloud computing resource allocation method |
CN104023068A (en) * | 2014-06-13 | 2014-09-03 | 北京信诺瑞得软件系统有限公司 | Method of implementing passive mode elastic computing and resource scheduling in load balancing |
CN106354544A (en) * | 2016-08-24 | 2017-01-25 | 华为技术有限公司 | Virtual machine creating method and system and host |
CN107589983A (en) * | 2017-10-11 | 2018-01-16 | 郑州云海信息技术有限公司 | Virtual machine creation method and its device in a kind of cloud computing system |
Non-Patent Citations (2)
Title |
---|
任传成主编: "《健康物联网》", 31 October 2015, 上海科学技术文献出版社 * |
李涛等: "《数据挖掘的应用与实践 大数据时代的案例分析》", 31 October 2013, 厦门大学出版社 * |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108961004B (en) * | 2018-07-06 | 2021-08-06 | 北京金山云网络技术有限公司 | Cloud service order processing method, device and system, electronic equipment and medium |
CN108961004A (en) * | 2018-07-06 | 2018-12-07 | 北京金山云网络技术有限公司 | Processing method, device, system, electronic equipment and the medium of cloud service order |
CN109040276A (en) * | 2018-08-20 | 2018-12-18 | 郑州云海信息技术有限公司 | A kind of method, apparatus, computer storage medium and terminal constructing cloud platform |
CN109040276B (en) * | 2018-08-20 | 2022-03-22 | 郑州云海信息技术有限公司 | Method and device for constructing cloud platform, computer storage medium and terminal |
WO2020147301A1 (en) * | 2019-01-16 | 2020-07-23 | 紫光云数科技有限公司 | Method and apparatus for implementing multi-tenant service access, and electronic device |
CN112882820A (en) * | 2019-11-29 | 2021-06-01 | 北京百度网讯科技有限公司 | Method and device for configuring resources |
CN110955409A (en) * | 2019-12-02 | 2020-04-03 | 郑州阿帕斯数云信息科技有限公司 | Method and device for creating resources on cloud platform |
CN110955409B (en) * | 2019-12-02 | 2023-03-28 | 郑州阿帕斯数云信息科技有限公司 | Method and device for creating resources on cloud platform |
CN111104203A (en) * | 2019-12-13 | 2020-05-05 | 广东省华南技术转移中心有限公司 | Virtual machine decentralized scheduling method and device, electronic device and storage medium |
CN111104203B (en) * | 2019-12-13 | 2023-04-28 | 广东省华南技术转移中心有限公司 | Virtual machine decentralized scheduling method and device, electronic equipment and storage medium |
CN112311605A (en) * | 2020-11-06 | 2021-02-02 | 北京格灵深瞳信息技术有限公司 | Cloud platform and method for providing machine learning service |
CN112311605B (en) * | 2020-11-06 | 2023-12-22 | 北京格灵深瞳信息技术股份有限公司 | Cloud platform and method for providing machine learning service |
CN112491980A (en) * | 2020-11-13 | 2021-03-12 | 苏州浪潮智能科技有限公司 | Cloud host service management method, system, terminal and storage medium |
CN112491980B (en) * | 2020-11-13 | 2022-12-27 | 苏州浪潮智能科技有限公司 | Cloud host service management method, system, terminal and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108170520A (en) | A kind of cloud computing resources management method and device | |
CN100407153C (en) | On demand node and server instance allocation and de-allocation | |
US9755990B2 (en) | Automated reconfiguration of shared network resources | |
US9497139B2 (en) | Client-allocatable bandwidth pools | |
US9154589B1 (en) | Bandwidth-optimized cloud resource placement service | |
JP4597488B2 (en) | Program placement method, execution system thereof, and processing program thereof | |
US9306870B1 (en) | Emulating circuit switching in cloud networking environments | |
CN107733676A (en) | A kind of method and system of flexible scheduling resource | |
US20110307901A1 (en) | System and method for integrating capacity planning and workload management | |
US20150032817A1 (en) | System and method using software defined continuity (sdc) and application defined continuity (adc) for achieving business continuity and application continuity on massively scalable entities like entire datacenters, entire clouds etc. in a computing system environment | |
EP3594798A1 (en) | Data storage method and device | |
JP2010282420A (en) | Management computer, resource management method, resource management program, recording medium, and information processing system | |
JP2004302918A (en) | Load-distributing system and operation system thereof, and processing program thereof | |
CN104301257B (en) | A kind of resource allocation methods, device and equipment | |
US10846788B1 (en) | Resource group traffic rate service | |
CN109144783A (en) | A kind of distribution magnanimity unstructured data backup method and system | |
CN103713852B (en) | A kind of information processing method, service platform and electronic equipment | |
WO2016121879A1 (en) | Virtualization control apparatus, arrangement destination selecting method and program | |
CN109767057A (en) | Resource allocation methods, device, electronic equipment and storage medium | |
CN102511041A (en) | Attributing causality to program execution capacity modifications and dynamically modifying program execution capacity | |
Yao et al. | Multi-dimensional scheduling in cloud storage systems | |
JP4479431B2 (en) | Information life cycle management system and data arrangement determination method thereof | |
CN103140833A (en) | System and method for multimedia multi-party peering (M2P2) | |
CN111475277A (en) | Resource allocation method, system, equipment and machine readable storage medium | |
CN112612579A (en) | Virtual machine deployment method, storage medium, and computer device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
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 | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180615 |