CN106970839A - The expansion method and its device of a kind of automation - Google Patents
The expansion method and its device of a kind of automation Download PDFInfo
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- CN106970839A CN106970839A CN201710097038.9A CN201710097038A CN106970839A CN 106970839 A CN106970839 A CN 106970839A CN 201710097038 A CN201710097038 A CN 201710097038A CN 106970839 A CN106970839 A CN 106970839A
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- 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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
- G06F2209/50—Indexing scheme relating to G06F9/50
- G06F2209/503—Resource availability
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Abstract
The invention discloses a kind of expansion method of automation and its device, this method comprises the following steps：S1, cloud management platform obtain monitoring resource data from cloud platform virtual data center；And in monitoring resource data fit dilatation condition, send resource capacity expansion and ask to schedule virtual resources device, so that schedule virtual resources device sends resource allocation request to resource management center；S2, resource management center send resource response message to schedule virtual resources device according to resource allocation request and its virtual resource of resource pool；S3, schedule virtual resources device are by corresponding virtual resource allocation in resource management center to cloud platform virtual data center；And resource cloud controller is updated to the configuration information of the corresponding virtual resource of resource management center.The advantage of the invention is that virtual resource is managed in unified platform, the management platform and cloud platform virtual data center of virtual resource realize seamless fusion, realize the automatic dilatation of cloud platform resource.
Description
Technical field
The present invention relates to the expansion method and its device of cloud computing technology, more particularly to a kind of automation.
Background technology
Increasingly mature with cloud computing technology, cloud data center is increasingly becoming the trend of Constructing data center, and usury is used
Rate, integration, low-power consumption, automatic management turn into the focus that cloud computing center is built, wherein how that physical resource is quick
The virtual resources pond for being linked into cloud platform is particularly important.Currently employed method, majority be based on artificial operate, and
Aided in by automatized script, this mode error probability is high, very flexible, while can not be carried out well to software and hardware
Unified management.
The content of the invention
In order to overcome the deficiencies in the prior art, it is an object of the invention to provide a kind of expansion method of automation and its dress
Put, it can solve high and very flexible the technical problem of resource management error probability.
An object of the present invention is realized using following technical scheme：
A kind of expansion method of automation, applied to automatic resource management system, the system includes：Cloud management platform,
Cloud platform virtual data center, schedule virtual resources device, resource management center and resource cloud controller；This method includes as follows
Step：
S1, cloud management platform obtain monitoring resource data from cloud platform virtual data center；And in monitoring resource data
When meeting dilatation condition, send resource capacity expansion and ask to schedule virtual resources device, so that schedule virtual resources device sends resource point
With request to resource management center；
S2, resource management center send resource response letter according to resource allocation request and the virtual resource of its resource pool
Cease to schedule virtual resources device；
S3, schedule virtual resources device are asked according to resource response message and resource capacity expansion, by correspondence in resource management center
Virtual resource allocation to cloud platform virtual data center；And resource cloud controller is corresponding to resource management center virtual
The configuration information of resource is updated.
Preferably, also comprising the following steps before S1：
The physical resource of typical data center is carried out virtualization process and obtains virtual resource by S0, resource cloud controller；
And store virtual resource to resource management center.
Preferably, S2 is specially：Whether resource management center judges to have in its resource pool according to resource allocation request
The virtual resource matched somebody with somebody, if it is sends resource response message to schedule virtual resources device, and perform S3；Otherwise response is sent to lose
Information is lost to cloud management platform.
Preferably, being sent in S2 after resource response message to schedule virtual resources device, resource management center is by matching
The Resource Properties of virtual resource are revised as having distributed.
Preferably, S3 is specially：Schedule virtual resources device is according to resource response message and resource capacity expansion request generation money
Source addition request, and cloud platform API is called by corresponding virtual resource allocation in resource management center to cloud platform virtual data
Center.
The second object of the present invention is realized using following technical scheme：
A kind of flash chamber of automation, including：
First module, applied to cloud management platform, for obtaining monitoring resource data from cloud platform virtual data center；With
And in monitoring resource data fit dilatation condition, send resource capacity expansion and ask to schedule virtual resources device, so that virtual resource
Scheduler dispatches resource allocation request is to resource management center；
Second module, applied to resource management center, for the virtual money according to resource allocation request and its resource pool
Source, sends resource response message to schedule virtual resources device；
Distribute module, applied to schedule virtual resources device, for according to resource response message and resource capacity expansion request, will provide
Corresponding virtual resource allocation is to cloud platform virtual data center in source control center；And resource cloud controller is to resource pipe
The configuration information of the corresponding virtual resource in reason center is updated.
Preferably, flash chamber also includes：
Cloud module, applied to resource cloud controller, for the physical resource of typical data center to be virtualized
Processing obtains virtual resource；And store virtual resource to resource management center.
Preferably, the second module is specially：The void for whether having matching in its resource pool is judged according to resource allocation request
Intend resource, if it is send resource response message to schedule virtual resources device, and perform distribute module；Otherwise response is sent to lose
Information is lost to cloud management platform.
Preferably, being sent in the second module after resource response message to schedule virtual resources device, resource management center will
The Resource Properties of the virtual resource of matching are revised as having distributed.
Preferably, distribute module is specially：Please according to resource response message and resource capacity expansion request generation resource addition
Ask, and call cloud platform API by corresponding virtual resource allocation in resource management center to cloud platform virtual data center.
Compared with prior art, the beneficial effects of the present invention are：Virtual resource is managed in unified platform, virtually
The management platform and cloud platform virtual data center of resource realize seamless fusion, it is possible to achieve the automatic expansion of cloud platform resource
Hold.
Brief description of the drawings
Fig. 1 is the system block diagram of the automatic resource management system of the present invention；
Fig. 2 is the flow chart of the expansion method of the present invention；
Fig. 3 is the module connection figure of the flash chamber of the present invention.
Embodiment
Below, with reference to accompanying drawing and embodiment, the present invention is described further：
The present invention realizes the expansion method and its device of a kind of automation, and not only effectively software and hardware can be united
One management, while advantage of the cloud computing in terms of resource high usage, green energy conservation can also be played to greatest extent.
A kind of expansion method of automation, applied to automatic resource management system, as shown in figure 1, the system includes thing
Manage data center, resource cloud controller, resource management center, schedule virtual resources device, cloud management platform and cloud platform virtual
Data center；
As shown in Fig. 2 this method comprises the following steps：
The physical resource of typical data center is carried out virtualization process and obtained virtually by step 101, resource cloud controller
Resource；And send virtual resource and resource registering information to resource management center, so that virtual resource is stored in resource pipe
In the resource pool at reason center；Complete the automatic cloud process of resource.
Wherein, physical resource includes physical computing resources, physical memory resources and physical network resource；Physical resource is virtual
Virtual resource after change is corresponding including virtual computing resource, virtual storage resource and virtual network resource, virtual computing resource
It is stored in the virtualization computing resource pond of resource management center, virtual storage resource is stored in the virtualization of resource management center
In memory resource pool, virtualizing network resources are stored in the virtualizing network resources pond of resource management center.
Virtual computing resource includes CPU core number and memory size, and virtual storage resource includes memory capacity and storage class,
Virtual network resource includes IP quantity, network broadband and IP types etc..
Dilatation strategy is configured in cloud management platform by step 102, administrative staff.Dilatation strategy be administrative staff according to should
The O＆M demand of platform is formulated, for example, dilatation strategy is when resource utilization reaches 70%, carrying out resource volume reduction please
Ask.
Step 103, cloud management platform monitoring cloud platform virtual data center, obtain monitoring resource data；In monitoring resource
During dilatation condition in data fit dilatation strategy, send resource capacity expansion and ask to schedule virtual resources device, so that virtual resource
Scheduler sends resource allocation request to resource management center according to resource capacity expansion request.
Step 104, resource management center judge the virtual money for whether having matching in its resource pool according to resource allocation request
Source, if it is sends resource response message and is repaiied to schedule virtual resources device, and by the Resource Properties of the virtual resource of matching
It is changed to distribute, and performs step 105；Otherwise answer failed information is sent to cloud management platform.
Step 105, schedule virtual resources device are asked according to resource response message and resource capacity expansion request generation resource addition,
And call cloud platform API that to cloud platform virtual data center, corresponding virtual resource allocation in resource management center is performed into step
Rapid 106.
Step 106, schedule virtual resources device send dilatation and complete information to resource cloud controller, so that resource cloud control
Device processed is updated to the configuration information of the corresponding virtual resource of resource management center.Configuration and cloud due to resource management center
The configuration of platform number virtual data center is different from, so when virtual resource is assigned to cloud platform virtual data center,
Needing the configuration to virtual resource to modify could be practical by cloud platform virtual data center；For example, by resource management center
The IP address of corresponding virtual resource be modified so that cloud platform virtual data center can be managed to the virtual resource
Reason.After renewal, resource cloud controller sends dilatation config update response to schedule virtual resources device, so that schedule virtual resources
Device sends resource capacity expansion response to cloud management platform, so that administrative staff are known.
It should be noted that modification Resource Properties in step 104, in step 105 by corresponding virtual resource allocation
Configuration information to the virtual resource in cloud platform virtual data center and step 106 is updated and is not necessarily to according to above
Described order, can first be handled with any one, and secondly, another is last for any one in other two.
A kind of flash chamber of automation, as shown in figure 3, including：
First module, applied to cloud management platform, for monitoring cloud platform virtual data center, obtains monitoring resource number
According to；And in monitoring resource data fit dilatation condition, send resource capacity expansion and ask to schedule virtual resources device, so that virtually
Resource Scheduler sends resource allocation request to resource management center；
Second module, applied to resource management center, for the virtual money according to resource allocation request and its resource pool
Source, sends resource response message to schedule virtual resources device；
Distribute module, applied to schedule virtual resources device, for according to resource response message and resource capacity expansion request, will provide
Corresponding virtual resource allocation is to cloud platform virtual data center in source control center；
Update module, applied to schedule virtual resources device, information is completed to resource cloud controller for sending dilatation, with
Resource cloud controller is set to be updated the configuration information of the corresponding virtual resource of resource management center.
The present invention passes through the automatic cloud of physical resource, the automatic dilatation and the unified management of virtual resource of cloud platform resource
And United Dispatching, physical resource and unified management and the effective integration of cloud platform are not only realized, and can significantly reduce into
This expense, effectively improves the service efficiency of resource.
Further, also comprise the following steps after step 106：
Volume reduction strategy is configured in cloud management platform by step 11, administrative staff.Volume reduction strategy be administrative staff according to should
The O＆M demand of platform is formulated, for example, volume reduction strategy is when resource utilization is less than 40%, carries out resource volume reduction behaviour
Make.
Step 12, cloud management platform monitoring cloud platform virtual data center, obtain monitoring resource data；In monitoring resource number
During according to the volume reduction condition met in volume reduction strategy, send resource volume reduction and ask to schedule virtual resources device.
Step 13, schedule virtual resources device are asked according to resource volume reduction, call cloud platform API in cloud platform virtual data
The heart carries out resource reclaim operation so that the state of corresponding virtual resource is changed from operation mode in cloud platform virtual data center
For service mode, cloud platform virtual data center simultaneously sends back receipts response message to schedule virtual resources device.
Wherein, resource reclaim operation specifically includes following steps：
Asked according to resource volume reduction, judge whether corresponding virtual resource is in use in cloud platform virtual data center
(for example, if having operation user virtual machine or storage user data), if it is carries out resource Autonomic Migration Framework flow, so that should
The migration of subscriber data of corresponding virtual resource sends to other available virtual resources and reclaims response message to virtual resource tune
Device is spent, and the state of the corresponding virtual resource is changed to service mode from operation mode；Otherwise recovery response is directly transmitted
The state of the corresponding virtual resource is changed to service mode by information to schedule virtual resources device from operation mode.
Step 14, judge resource reclaim operation whether succeed, if it is perform step 15, otherwise send failure information extremely
Cloud management platform.
If resource status successful switch is to service mode, then resource reclaim, which is operated, successfully to be terminated, otherwise resource reclaim
Failure.
Step 15, Resource Scheduler according to reclaim response message, send configuration fresh information to resource cloud controller, with
Resource cloud controller is set to be updated the configuration information of the corresponding virtual resource of cloud platform virtual data center.For example,
The IP address of the corresponding virtual resource of cloud platform virtual data center is modified, so that the virtual resource is added to resource
Administrative center.After renewal, resource cloud controller sends volume reduction config update response to schedule virtual resources device.
Step 16, schedule virtual resources device send resource release request to resource management center, so that resource management center
It is to distribute by corresponding virtual resource attribute modification, and resource management center sends resource and discharges response to virtual resource tune
Spend device.
Step 17, schedule virtual resources device discharge response according to resource and send resource volume reduction response to cloud management platform, with
Know administrative staff.
It will be apparent to those skilled in the art that technical scheme that can be as described above and design, make other various
It is corresponding to change and deformation, and all these change and deformation should all belong to the protection domain of the claims in the present invention
Within.
Claims (10)
1. a kind of expansion method of automation, applied to automatic resource management system, the system includes：Cloud management platform, cloud
Platform virtual data center, schedule virtual resources device, resource management center and resource cloud controller；It is characterised in that it includes
Following steps：
S1, cloud management platform obtain monitoring resource data from cloud platform virtual data center；And in monitoring resource data fit
During dilatation condition, send resource capacity expansion and ask to schedule virtual resources device, so that schedule virtual resources device sends resource allocation and asked
Ask to resource management center；
S2, resource management center send resource response message extremely according to resource allocation request and the virtual resource of its resource pool
Schedule virtual resources device；
S3, schedule virtual resources device are asked according to resource response message and resource capacity expansion, by corresponding void in resource management center
Intend resource allocation to cloud platform virtual data center；And resource cloud controller is to the corresponding virtual resource of resource management center
Configuration information be updated.
2. expansion method as claimed in claim 1, it is characterised in that also comprise the following steps before S1：
The physical resource of typical data center is carried out virtualization process and obtains virtual resource by S0, resource cloud controller；And
Virtual resource is stored to resource management center.
3. expansion method as claimed in claim 1, it is characterised in that S2 is specially：Resource management center is according to resource allocation
Request judges the virtual resource for whether having matching in its resource pool, if it is sends resource response message to schedule virtual resources
Device, and perform S3；Otherwise answer failed information is sent to cloud management platform.
4. the expansion method as described in claim 1 or 3, it is characterised in that resource response message is sent in S2 to virtual resource
After scheduler, the Resource Properties of the virtual resource of matching are revised as having distributed by resource management center.
5. expansion method as claimed in claim 1, it is characterised in that S3 is specially：Schedule virtual resources device should according to resource
Information and resource capacity expansion request generation resource addition request are answered, and calls cloud platform API by corresponding void in resource management center
Intend resource allocation to cloud platform virtual data center.
6. a kind of flash chamber of automation, it is characterised in that including：
First module, applied to cloud management platform, for obtaining monitoring resource data from cloud platform virtual data center；And
During monitoring resource data fit dilatation condition, send resource capacity expansion and ask to schedule virtual resources device, so that schedule virtual resources
Device sends resource allocation request to resource management center；
Second module, applied to resource management center, for the virtual resource according to resource allocation request and its resource pool, hair
Resource response message is sent to schedule virtual resources device；
Distribute module, applied to schedule virtual resources device, for according to resource response message and resource capacity expansion request, by resource pipe
Corresponding virtual resource allocation is to cloud platform virtual data center in reason center；And resource cloud controller is in resource management
The configuration information of the corresponding virtual resource of the heart is updated.
7. flash chamber as claimed in claim 6, it is characterised in that also include：
Cloud module, applied to resource cloud controller, for the physical resource of typical data center to be carried out into virtualization process
Obtain virtual resource；And store virtual resource to resource management center.
8. flash chamber as claimed in claim 6, it is characterised in that the second module is specially：
The virtual resource for whether having matching in its resource pool is judged according to resource allocation request, resource response letter is if it is sent
Breath performs distribute module to schedule virtual resources device；Otherwise answer failed information is sent to cloud management platform.
9. the flash chamber as described in claim 6 or 8, it is characterised in that resource response message is sent in the second module to void
Intend after Resource Scheduler, the Resource Properties of the virtual resource of matching are revised as having distributed by resource management center.
10. flash chamber as claimed in claim 6, it is characterised in that distribute module is specially：
According to resource response message and resource capacity expansion request generation resource addition request, and cloud platform API is called by resource management
Corresponding virtual resource allocation is to cloud platform virtual data center in center.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710097038.9A CN106970839A (en) | 2017-02-22 | 2017-02-22 | The expansion method and its device of a kind of automation |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710097038.9A CN106970839A (en) | 2017-02-22 | 2017-02-22 | The expansion method and its device of a kind of automation |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109586952A (en) * | 2018-11-07 | 2019-04-05 | 广州虎牙信息科技有限公司 | Method of server expansion, device |
| CN111488218A (en) * | 2020-03-13 | 2020-08-04 | 合肥中科类脑智能技术有限公司 | All-in-one machine computing system and method |
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Application publication date: 20170721 |