CN108170520A - A kind of cloud computing resources management method and device - Google Patents

A kind of cloud computing resources management method and device Download PDF

Info

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
Application number
CN201810083604.5A
Other languages
Chinese (zh)
Inventor
钱熙
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Sohu New Media Information Technology Co Ltd
Original Assignee
Beijing Sohu New Media Information Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Beijing Sohu New Media Information Technology Co Ltd filed Critical Beijing Sohu New Media Information Technology Co Ltd
Priority to CN201810083604.5A priority Critical patent/CN108170520A/en
Publication of CN108170520A publication Critical patent/CN108170520A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061Partitioning or combining of resources
    • G06F9/5077Logical partitioning of resources; Management or configuration of virtualized resources
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • G06F2009/45562Creating, 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

A kind of cloud computing resources management method and device
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.
CN201810083604.5A 2018-01-29 2018-01-29 A kind of cloud computing resources management method and device Pending CN108170520A (en)

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)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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

Patent Citations (10)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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