CN107959588A - Cloud resource management method, cloud resource management platform and the management system of data center - Google Patents
Cloud resource management method, cloud resource management platform and the management system of data center Download PDFInfo
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- H04L41/02—Standardisation; Integration
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Abstract
The application is the cloud resource management method, cloud resource management platform and management system on a kind of data center, which includes：Establishment, acquisition, daily management and the storage of resource；Resource automated cluster stretches management；The performance data of physical machine, virtual machine, serviced component and data center's infrastructure is monitored.The cloud resource management platform is stretched module including information acquisition module, asset creation module, resource management module, heartbeat management module, message managing module, database management module, monitoring resource module and automated cluster.The data center management system cloud resource management platform and control node server.By cloud resource management method, platform and the management system of data center in the application, the unified management of physical resource and virtual resource can be realized, and improve flexible allotment and efficiently utilization of the cloud resource management platform to resource.
Description
Technical field
This application involves data center's technical field, more particularly to a kind of cloud resource management method of data center, Yun Zi
Source capsule platform and management system.
Background technology
Modular data center is the New Generation of IDC deployment form based on cloud computing, by by data center module
Change, can farthest reduce coupling of the infrastructure to building environment.Wherein management system is configuration inside data center
Important component, in general, the management system of data center is realized by cloud computing platform.
IaaS (Infrastructure as a Service, the infrastructure service) cloud computing platform increased income now
Mainly there are OPenStack, Abi-Cloud, Nimbus, Eucalyputs, CloudStack, OpenNebula etc..Wherein,
OPenStack is a software freely increased income with the fastest developing speed.This management system of OPenStack cloud computing platforms,
In on-demand service, access and resource pool management method have the implementation method of comparative maturity extensively.Pass through OPenStack cloud meters
This management system of platform is calculated, enterprise and user can build the IaaS services of itself, realize the integration to corporate resources and profit
With.
However, in existing data center management method and management system, the monitoring to resource needs the branch of other plug-in units
Holding to realize, especially when being related to physical resource and virtual resource needs the scene monitored at the same time, be limited by plug-in part technology
Development, can not realize the unified management of cloud resource in practical application scene.Moreover, existing data center management system and
In method, the deployment to node is mainly by manually carrying out.But the deployment to node is related to the installation and configuration of various software
Test, maps out the work comparatively laborious and complicated, therefore, manually disposes the easy error of node and work efficiency is low, that is,
Under manual type, the cluster of data center management system stretches poorly efficient and error-prone.
The content of the invention
To overcome present in correlation technique in data center management method and management system, monitoring management can not realize thing
The unified management of resource and virtual resource is managed, and cluster stretches the problem of poorly efficient and error-prone, the application provides a kind of data
Center cloud resource management method, cloud resource management platform and management system.
A kind of cloud resource management method of data center, includes the following steps：
Establishment, acquisition, daily management and the storage of resource；
Resource automated cluster stretches management；
The performance data of physical machine, virtual machine, serviced component and data center's infrastructure is monitored.
Alternatively, establishment, acquisition, daily management and the storage of the resource, including following process：
A variety of cloud resources are created, a variety of cloud resources include virtual machine, physical machine, serviced component and data center's base
The performance data of Infrastructure；
The information of a variety of cloud resources is acquired；
Resource daily management and storage are carried out to a variety of cloud resources.
Alternatively, the resource automated cluster stretches the method for management, includes the following steps：
The request of addition destination node is obtained, the IP address and root accounts letter of destination node are included in the request
Breath, the destination node is physical machine or virtual machine to be added；
According to the request, establish and connect with destination node；
The information for creating destination node is sent to control node server, the control node server is used to store cloud money
Source control platform software and node configuration software resource bag；
Destination node, which obtains, is stored in software resource bag on control node server, and according to the software resource bag into
Row automation services update.
Alternatively, destination node obtains the software resource bag being stored in control node, and according to the software resource bag
After carrying out automation services renewal, the method further includes：
Send the fresh information that destination node carries out automation services renewal；
Cluster Database is updated according to the fresh information, and sends the information that destination node addition finishes；
The information that destination node addition finishes is fed back into administrator.
Alternatively, the performance data to physical machine, virtual machine, serviced component and data center's infrastructure carries out
The method of monitoring, including following process：
Utilize the status information of shell scripts collection physical machine；
By establishing the connection between virtual management storehouse and virtual machine, the resource utilization of virtual machine is obtained；
Calling and the relevant API of serviced component (Application Program Interface, application programming interfaces),
Obtain the status information of serviced component；
Utilize SNMP and MODBUS agreements, the status information of monitoring data center infrastructures.
Alternatively, the connection by establishing between virtual management storehouse and virtual machine, obtains the resource profit of virtual machine
With the method for rate, include the following steps：
The connection between virtual management storehouse and virtual machine is established, obtains the ID of virtual machine；
According to the ID of virtual machine, the UUID of virtual machine is obtained using the method for inquiry；
According to the UUID of virtual machine, the API that calls virtual management storehouse to match, obtains the XML file of virtual machine；
The status information of virtual machine is obtained according to the XML file, the status information of the virtual machine is believed including CPU state
Breath, disk state information, internal storage state information and network state information；
The resource utilization of virtual machine, the resource utilization of the virtual machine are calculated according to the status information of the virtual machine
Including CPU resource utilization, hard disk resources utilization rate, memory source utilization rate and network resource utilization.
A kind of cloud resource management platform of data center, the cloud resource management platform include：
Asset creation module, for creating a variety of cloud resources, a variety of cloud resources include virtual machine, physical machine, service
The performance data of component and data center's infrastructure；
Information acquisition module, for being acquired to the information of a variety of cloud resources, and the information collected is sent to money
Source monitoring module；
Resource management module, operation is looked into for changing to the progress additions and deletions of a variety of cloud resources；
Heartbeat management module, for obtaining the handshaking information of each function module by heartbeat mechanism；
Message managing module, feeds back for the operation to a variety of cloud resources；
Database management module, for being managed operation to the performance data of computing resource in a variety of cloud resources, and will
The performance data of these computing resources is persisted in monitor database；
Monitoring resource module, for being set to the physical machine of data center, virtual machine, serviced component and data center basis
Apply and be monitored；
Automated cluster stretches module, for according to configuration information automatic deployment destination node, and by automatic deployment target section
The information of point is sent to the block management data module in real time, and the destination node is physical machine or virtual machine to be added.
Alternatively, the monitoring resource module includes：
Physical machine monitoring unit, for the status information using shell scripts collection physical machine；
Virtual machine monitoring unit, for by establishing the connection between virtual management storehouse and virtual machine, obtaining virtual machine
Resource utilization；
Serviced component monitoring unit, for by calling the relevant API of serviced component, obtaining the state letter of serviced component
Breath；
Data center's infrastructure monitoring unit, for utilizing SNMP and MODBUS protocol monitors data center infrastructure
Status information.
A kind of management system of data center, the management system include cloud resource management platform and control node service
Device, it is characterized in that, the cloud resource management platform is the cloud resource management platform described in claim 7 or 8, the control section
Point server is used to store cloud resource management platform software and node configuration software resource bag.
Alternatively, the control node server be independently of a server of data center or data center inside
One physical machine.The technical solution that embodiments herein provides can include the following benefits：
The embodiment of the present application provides a kind of cloud resource management method of data center, including：The establishment of resource, acquisition, day
Often management and storage；Resource automated cluster stretches management；Physical machine, virtual machine, serviced component and data center basis are set
The performance data applied is monitored.Automated cluster in the embodiment of the present application stretches management method, can be according to addition target section
The request of point carries out automated cluster and stretches, and destination node carries out service renewal automatically after obtaining software resource bag from control node,
And automatic transmission fresh information after node deployment is carried out, and real-time update Cluster Database, realize the real-time update that cluster stretches,
Be conducive to improve the accuracy and efficiency that cluster stretches, be conducive to make full use of resource.The embodiment of the present application passes through shell scripts
The status information of physical machine is gathered, by establishing the connection between virtual management storehouse and virtual machine, obtains the resource of virtual machine
Utilization rate；Calling and the relevant API of serviced component, obtain the status information of serviced component；Utilize SNMP and MODBUS agreements, prison
The status information of data center's infrastructure is controlled, the unified management of physical resource and virtual resource can be realized, greatly improve money
Source control efficiency.
The embodiment of the present application also provides a kind of cloud resource management platform of data center, and the management platform is except being provided with letter
Cease acquisition module, asset creation module, resource management module, heartbeat management module, message managing module and data base administration mould
Outside block, it is additionally provided with monitoring resource module and automated cluster stretches module.Monitoring resource module be used for physical machine, virtual machine,
Serviced component and data center's infrastructure are monitored, and automated cluster stretches module for according to configuration information automatic deployment
Destination node, and the information of automatic deployment destination node is sent to block management data module in real time.Moreover, the embodiment of the present application
Medium cloud resource management platform uses unified management to the physical resource and virtual resource of data central interior by various agreements
Interface.The setting of monitoring resource module and unified management interface during the application is implemented, can make cloud resource management platform real
Now to comprehensive, the unified monitoring of extensive, distributed, cross-region physical resource and virtual resource, using unified management interface
Method, without the support of plug-in unit, be conducive to improve the resources management efficiency of data center.Automated cluster stretches the setting of module
Put, it is only necessary to which the configuration information for the destination node to be added is provided, you can add destination node automatically, and the application is implemented
Example in automated cluster stretch module according to addition destination node request carry out node deployment, there is real-time update,
Be conducive to improve the accuracy and efficiency that cluster stretches, so as to be conducive to improve flexible allotment of the cloud resource management platform to resource
Utilized with efficient.
The embodiment of the present application also provides a kind of management system of data center, which includes cloud resource management platform
With control node server, by the setting of cloud resource management platform, except realize the establishment of resource, acquisition, daily management and
Beyond storage, moreover it is possible to by data center's internal physical resource and virtual resource by the unified management interface of various protocol realizations,
Be conducive to comprehensive, the unified monitoring of resource.Also added automatically by the setting of automatic telescopic module in cloud resource management platform, realization
Add destination node, and carry out real-time update, be conducive to improve the accuracy and efficiency that cluster stretches, so as to improve data center's pipe
Flexible control of the reason system to resource.
It should be appreciated that the general description and following detailed description of the above are only exemplary and explanatory, not
The application can be limited.
Brief description of the drawings
Attached drawing herein is merged in specification and forms the part of this specification, shows the implementation for meeting the application
Example, and be used to together with specification to explain the principle of the application.
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, below will be to embodiment or existing
There is attached drawing needed in technology description to be briefly described, it should be apparent that, for those of ordinary skill in the art
Speech, without having to pay creative labor, can also obtain other attached drawings according to these attached drawings.
Fig. 1 is a kind of flow diagram of the cloud resource management method of data center provided by the embodiments of the present application；
Fig. 2 is a kind of structure diagram of the cloud resource management platform of data center provided by the embodiments of the present application.
Symbolic indication：1- information acquisition modules, 2- asset creations module, 3- resource management modules, 4- heartbeats management module,
5- message managing modules, 6- database management modules, 7- monitoring resources module, 8- automated clusters stretch module.
Embodiment
In order to clarify the technical characteristics of the invention, below by embodiment, and its attached drawing is combined, to this Shen
It please be described in detail.Following disclosure provides many different embodiments or example is used for realizing the different knots of the application
Structure.In order to simplify disclosure herein, hereinafter the component and setting of specific examples are described.In addition, the application can be with
Repeat reference numerals and/or letter in different examples.This repetition is that for purposes of simplicity and clarity, itself is not indicated
Relation between various embodiments are discussed and/or are set.It should be noted that illustrated component is not necessarily to scale in the accompanying drawings
Draw.The application eliminates the description to known assemblies and treatment technology and process to avoid the application is unnecessarily limiting.
Cloud computing service generally includes three layers：(Infrastructure as a Service, infrastructure take IaaS
Business), (Software as a Service, software are by PaaS (Platform as a Service, platform i.e. service) and SaaS
Service), the data center management system medium cloud resource management platform in the application is suitable for IaaS layers.And develop most in IaaS layers
It is exactly rapidly OPenStack platforms.
The management function that current OPenStack platforms include mainly includes five aspects：Management of computing：For providing to void
The life cycle management of plan machine, rolls up storage management：For providing block storage service and management, authentication management：For providing unification
Mandate and authentication management service, mirror image management：For providing upload and the storage management of virtual machine image, network pipe
Reason：For providing the management to platform network resource.In general, a cloud computing platform includes on-demand service, extensively access, resource
Pond management, five features of resilient expansion and metering service, current OPenStack platforms on-demand service, extensively access and
There is the realization of comparative maturity in terms of resource pool management, but need to be improved in terms of resilient expansion and metering service, this Shen
Please in automated cluster stretch module and its implementation helps to improve performance of the cloud management platform in terms of resilient expansion.This
The realization of monitoring resource module and monitoring resource method in body application, is the operation such as the charging of cloud resource management platform and fault recovery
Premise, therefore help to improve performance of the cloud resource management platform in terms of metering service.
It is illustrated in the embodiment of the present application by taking OPenStack platforms as an example, but data center management system in the application
The cloud resource management platform of system is not limited in OPenStack platforms, and applying also for other needs to carry out monitoring resource and automatic
The cloud resource management platform that cluster stretches.
Data center generally includes four parts：Data center's infrastructure, as smart UPS card, precision air conditioner, precision are matched somebody with somebody
Electric cabinet and Temperature Humidity Sensor, further include gate inhibition, smoke detector, temperature detector, leakage sensor, turning roof window and net
Network video camera etc.；IT hardware devices, such as server, storage device and the network equipment；IT software platforms, such as operating system, application
Program etc.；Business, such as various data services and application.Physics of the application by data center management system to data center
Resource and virtual resource are managed collectively, and are stretched to the cluster of data center's cloud resource platform and carried out more flexibility and reliability
Control.
The application in order to better understand, explains in detail presently filed embodiment below in conjunction with the accompanying drawings.
Fig. 1 is a kind of flow diagram of the cloud resource management method of data center provided by the embodiments of the present application.By Fig. 1
Understand, the cloud resource management method in the embodiment of the present application includes the following steps：
Establishment, acquisition, daily management and the storage of resource.
Specifically, establishment, acquisition, daily management and the storage of resource include following process again：
S11：A variety of cloud resources are created, a variety of cloud resources include virtual machine, physical machine, serviced component and data center's base
The performance data of Infrastructure.
It can be realized by a cloud resource creation module to various networks in cloud resource management platform, storage and virtual
The establishment of machine resource, cloud resource is set including virtual machine, physical machine, serviced component and data center basis in the embodiment of the present application
The performance data applied.By taking OpenStack platforms as an example, OpenStack platforms realize various calculating by calling Rest API
The establishment of resource.
S12：The information of a variety of cloud resources is acquired.
Namely the status information of data central interior virtual machine, physical machine and serviced component is acquired.
S13：Resource daily management and storage are carried out to a variety of cloud resources.
Resource daily management includes：Just efficiently managed for IaaS layers of every kind of resource provider, so that administrator can be with
Easily carry out additions and deletions to various resources and change the operation such as to look into；The handshaking information of each function module in cloud resource management platform is obtained,
Examine whether each function module is in normal operating conditions；The operation message of IaaS layers of record, the operation to a variety of cloud resources
Fed back.Carrying out storage to a variety of cloud resources includes：Behaviour is managed to the performance data of computing resource in a variety of cloud resources
Make, and these performance data informations are persisted in monitor database.
Understand that the cloud resource management method in the embodiment of the present application further includes with continued reference to Fig. 1：Resource automated cluster stretches
Management.
Specifically, the resource automated cluster management method in the embodiment of the present application, includes the following steps：
S21：Obtain the request of addition destination node.Wherein, the IP address and root accounts of destination node are included in request
Number information, destination node is physical machine or virtual machine to be added.
After administrator sends the request of addition destination node to cloud resource management platform, cloud resource management platform can be got
Add the request of destination node.
S22：According to request, establish and connect with destination node.
Cloud resource management platform sends the request for establishing connection to destination node first, and destination node, which is made, receives request
Feedback, cloud resource management platform are established with destination node and connected.
S23：The information for creating destination node is sent to control node server.Wherein, control node server is used to deposit
Store up cloud resource management platform software and node configuration software resource bag.
S24：Destination node, which obtains, is stored in software resource bag on control node server, and according to software resource bag into
Row automation services update.
Destination node carries out the decompression of software resource bag after control node server gets software resource bag, obtains
To installation script, the installation carried out automatically according to installation script configures operation, so as to complete automation services renewal, renewal finishes just
Finished equivalent to destination node deployment.
By above step S21-S24, it can realize that the automated cluster of resource stretches management.
Further, destination node is carried out after automatically updating service according to software resource bag, the money in the embodiment of the present application
The automatic cluster management method in source further includes：
S25：Send the fresh information that destination node carries out automation services renewal；
S26：Cluster Database is updated according to fresh information, and sends the information that destination node addition finishes；
S27：The information that destination node addition finishes is fed back into administrator.
By above step S25-S27, cloud resource management platform can realize that real-time automated cluster stretches management.
With continued reference to Fig. 1, as shown in Figure 1, the cloud resource management method of data center further includes in the embodiment of the present application：It is right
Physical machine, virtual machine, the performance data of serviced component and data center's infrastructure are monitored.Wherein, physical machine is number
According to the cluster server at center, serviced component is the serviced component in physical machine.
Specifically, the performance data of physical machine, virtual machine, serviced component and data center's infrastructure is monitored
Method, including such as process：
S31：Utilize the status information of shell scripts collection physical machine.
The status information of physical machine includes the disk rate of physical machine, the disk utilization rate of physical machine, thing in the present embodiment
The memory usage of reason machine and the CPU usage amounts of physical machine.It can be realized by some command functions, such as：Utilize
The iostat orders of Linux obtain the read-write speed of physical machine disk；Obtaining physical machine disk using the df orders of linux makes
With rate；By obtain under linux file system/proc/meminfo in preserve with the relevant information of memory, by calculating
Go out memory usage；Physical machine CPU usage amounts are obtained using the vmstat orders of linux.
S32：By establishing the connection between virtual management storehouse and virtual machine, the resource utilization of virtual machine is obtained.
Specifically, step S32 comprises the following steps again：
The connection between virtual management storehouse and virtual machine is established, obtains the ID of virtual machine；According to the ID of virtual machine, utilize
The method of inquiry obtains the UUID of virtual machine；According to the UUID of virtual machine, the API for calling virtual management storehouse to match, obtains
The XML file of virtual machine；The status information of virtual machine is obtained according to XML file, the status information of virtual machine is believed including CPU state
Breath, disk state information, internal storage state information and network state information；Virtual machine is calculated according to the status information of virtual machine
Resource utilization, the resource utilization of virtual machine include CPU resource utilization, hard disk resources utilization rate, memory source utilization rate
And network resource utilization.Virtual management storehouse can use Libvirt in the embodiment of the present application.
Exemplified by calculating CPU resource utilization：CPU resource utilization is CPU working times in a period of time and the time
The ratio of section total length.Three kind times of the CPU from start can be got by GetSystemTimes functions using API：
Free time, kernel time and user time, CPU share two kinds of working statuses：Kernel state and User space, therefore, at one section
It is interior to utilize API Calls GetSystemTimes functions twice, it can get corresponding to two time points of the period
Free time, kernel time and user time, according to free time, kernel time and the user time corresponding to two time points
Difference, utilize formula：Cpu resource occupancy=(kernel time+user time-free time)/(during kernel time+user
Between), the resources occupation rate of CPU in the period can be calculated.
S33：Calling and the relevant API of serviced component, obtain the status information of serviced component.
By calling and the relevant API of serviced component, it can monitor and respectively be saved in the cluster server of cloud resource management platform
The current operating conditions of serviced component on point server.If when service stopping or the error of serviced component, judge service group
The cluster server interrupt line of node server where part from cloud resource management platform.
S34：Utilize SNMP and MODBUS agreements, the status information of monitoring data center infrastructures.
In the embodiment of the present application, data center's infrastructure mainly includes：Smart UPS card, precision air conditioner, precise power distribution cabinet
And Temperature Humidity Sensor, further include gate inhibition, smoke detector, temperature detector, leakage sensor, turning roof window and network and take the photograph
Camera etc..
By above step S31-S34, the embodiment of the present application can realize the unified management of physical resource and virtual resource,
Greatly improve resources management efficiency.In the embodiment of the present application, step S31-S34 is only a kind of embodiment, between each step
Order is not changeless, can also be adjusted, increases or delete some steps as the case may be.
It should be noted that in the application in the cloud resource management method of data center, it is not limited in the application implementation
Implementation method in example, resource automated cluster, which stretches, to be managed and to physical machine, virtual machine, serviced component and data center basis
The performance data of facility is monitored between two steps and can also be carried out at the same time or adjustment order, with specific reference to different pieces of information
Depending on the actual conditions at center.
Referring to Fig. 2, Fig. 2 is a kind of structural representation of the cloud resource management platform of data center provided by the embodiments of the present application
Figure.As shown in Figure 2, the cloud resource management platform in the embodiment of the present application includes：Information acquisition module 1, asset creation module 2,
Resource management module 3, heartbeat management module 4, message managing module 5, database management module 6, monitoring resource module 7 and from
Dynamic cluster stretches eight parts of module 8 totally.By eight parts, the cloud resource management platform in the embodiment of the present application is upper
The PaaS platform service of layer provides required computing resource, and the cloud resource management platform in the present embodiment passes through agreement
Mode provides unified management interface to various physical resources and virtual resource.
Wherein, information acquisition module 1 is a finger daemon module, for virtual machine, physical machine and serviced component
Status information be acquired, and the information collected is sent to monitoring resource module 7.Asset creation module 2 is used for realization
The establishment of various computing resources in cloud resource management platform, such as virtual machine, network, storage.By taking OpenStack platforms as an example,
OpenStack platforms realize the establishment of various computing resources by calling Rest API.Resource management module 3 is every for IaaS layers
Kind of resource provider just efficiently manages, and change so that administrator easily can carry out various resources additions and deletions and the operation such as looks into.
Heartbeat management module 4 is the handshaking information of cloud resource management platform and each function module, for whether examining each function module
In normal operating conditions.Message managing module 5 is used to record IaaS layers of operation message, that is to say, that message managing module 5
The operation of various virtual resources can be fed back so that administrator can easily carry out track problems.Data base administration
Module 6 is used to be managed the performance datas of a variety of computing resources in cloud resource management platform operation, and by these performance numbers
It is believed that breath is persisted in monitor database.
Six modules except more than, are additionally provided with monitoring resource module 7 in the embodiment of the present application, for physical machine, virtual
Machine, serviced component and data center's infrastructure are monitored.Physical machine in the present embodiment takes for the cluster of data center
Business device, cluster server include multiple node servers, and virtual machine is the software environment run in physical machine, and serviced component is
The middleware on physical machine or virtual machine is run on, such as operating system, database.Specifically, monitoring resource module 7 can be right
CPU, memory, storage, network and the disk performance and operation conditions of physical machine are monitored, and to the CPU of virtual machine, memory, are deposited
Storage, network and disk performance and operation conditions are monitored, and the start and stop and exception information to cloud platform serviced component capture,
Can also be to data center infrastructures, such as UPS, precision air conditioner, precise power distribution cabinet, ambient temperature and humidity and security protection performance data
It is monitored.
Further, monitoring resource module 7 includes physical machine monitoring unit, virtual machine monitoring list in the embodiment of the present application
Member, server component monitoring unit and data center's basis instrument monitoring unit.Wherein, physical machine monitoring unit is used to utilize
Shell scripts gather the status information of physical machine；Virtual machine monitoring unit is used for by establishing virtual management storehouse and virtual machine
Between connection, obtain the resource utilization of virtual machine；Serviced component monitoring unit is used for by calling serviced component relevant
API, obtains the status information of serviced component；Data center's infrastructure monitoring unit, for utilizing SNMP and MODBUS agreements,
The status information of monitoring data center infrastructures.
In conclusion monitoring resource module can be to physical machine, serviced component and data center basis in the present embodiment
These physical resources of facility are monitored, additionally it is possible to this virtual resource of virtual machine are monitored, and cloud resource management is put down
Platform realizes unified monitoring, therefore, monitoring resource to these physical resources and virtual resource by way of api interface and agreement
The setting of module 7 can greatly improve the resources management efficiency of data center, so as to be provided i.e. for cloud resource management platform
When early warning processing, also provide effective foundation for operations such as the chargings and fault recovery of cloud resource management platform.
It is additionally provided with automated cluster in the embodiment of the present application to stretch module 8, for according to configuration information automatic deployment target
Node, and the information of automatic deployment destination node is sent to block management data module 6 in real time.
When IaaS layers of physical hardware resources are insufficient, it is necessary to be extended to physical server cluster, new node is disposed,
Add physical machine.When virtual resource is insufficient, it is necessary to be extended to virtual pool, new section is disposed in existing physical machine
Point, that is, add virtual machine.Certainly, automated cluster stretch module 8 can also to malfunctioning node or need recall this resource management
The physical machine of platform carries out offline operation, that is, removes physical machine.
Destination node if necessary to addition is physical machine, then automated cluster stretches module 8 according to the physics to be added
The configuration information automatic deployment node of machine；Destination node if necessary to addition is virtual machine, since virtual machine needs to run on
In physical machine, then automated cluster stretches the automatic portion of configuration information of physical machine of the module 8 according to where the virtual machine to be added
Affix one's name to node.
The stretch operation principle of module 8 of automated cluster is in the embodiment of the present application：Automated cluster module 8 of stretching first obtains
To the request of addition destination node, which includes the IP address and root account informations of destination node, then automated cluster
Flexible module 8 is established with destination node according to request and contacted, and sends the information of establishment destination node to control node server,
Finally, destination node gets the software resource bag in control node server by automatic telescopic module 8, destination node according to
Software resource bag carries out automatically updating service, so as to fulfill automatic deployment node.Therefore, automated cluster is stretched in the embodiment of the present application
The setting of contracting module 8, is conducive to improve flexible allotment of the cloud resource management platform to resource and efficiently utilize.
Automated cluster stretches after 8 automatic deployment destination node of module in the embodiment of the present application, additionally it is possible to block management data
Module 6 sends the new information of automatic deployment destination node, and database management module 6 updates Cluster Database according to new information
Information, and the information finished is added to cloud resource management platform transmission destination node.Therefore, the automated cluster in the present embodiment is stretched
Contracting module 8 has the function of real-time update, is conducive to improve the accuracy and efficiency that cluster stretches, so as to be conducive to improve cloud resource
Flexible allotment and efficiently utilization of the management platform to resource.
The application implement medium cloud resource management platform operation principle and method of work in the embodiment shown in fig. 1
Elaborate, details are not described herein.
The embodiment of the present application also provides a kind of management system of data center, which provides including cloud as described above
Source capsule platform and control node server.Wherein, control node server is used to store cloud resource management platform software and section
Point configuration software resource bag.
Control node server in the embodiment of the present application is independently of a server of data center or data center
An internal physical machine.
When data center is larger, a server independently of data center can be selected to be taken as control node
Business device, is managed data center by cloud resource management platform using control node server.When data center's scale compared with
Hour, a physical machine inside data center can be selected to pass through cloud resource management platform pair as control node server
Data center is managed.
Composition, method of work and the operation principle of the management system medium cloud resource management platform of the present embodiment data center,
Elaborated in the embodiment shown in Fig. 1 and Fig. 2, details are not described herein.
The above is the optional embodiment of the application, for those skilled in the art,
On the premise of not departing from the application principle, some improvements and modifications can also be made, these improvements and modifications are also regarded as this Shen
Protection domain please.
Claims (10)
1. a kind of cloud resource management method of data center, it is characterized in that, include the following steps：
Establishment, acquisition, daily management and the storage of resource；
Resource automated cluster stretches management；
The performance data of physical machine, virtual machine, serviced component and data center's infrastructure is monitored.
2. a kind of cloud resource management method of data center as claimed in claim 1, it is characterized in that, the establishment of the resource,
Acquisition, daily management and storage, including following process：
A variety of cloud resources are created, a variety of cloud resources are set including virtual machine, physical machine, serviced component and data center basis
The performance data applied；
The information of a variety of cloud resources is acquired；
Resource daily management and storage are carried out to a variety of cloud resources.
3. a kind of cloud resource management method of data center as claimed in claim 1, it is characterized in that, the resource automated cluster
The method of flexible management, includes the following steps：
The request of addition destination node is obtained, the IP address and root account informations of destination node, institute are included in the request
It is physical machine or virtual machine to be added to state destination node；
According to the request, establish and connect with destination node；
The information for creating destination node is sent to control node server, the control node server is used to store cloud resource pipe
Platform software and node configuration software resource bag；
Destination node obtains the software resource bag being stored on control node server, and is carried out certainly according to the software resource bag
Dynamic service renewal.
4. a kind of cloud resource management method of data center as claimed in claim 3, it is characterized in that, destination node obtains storage
In the software resource bag in control node, and according to the software resource bag carry out automation services renewal after, the method is also
Including：
Send the fresh information that destination node carries out automation services renewal；
Cluster Database is updated according to the fresh information, and sends the information that destination node addition finishes；
The information that destination node addition finishes is fed back into administrator.
5. a kind of cloud resource management method of data center as claimed in claim 1, it is characterized in that, it is described to physical machine, void
The method that the performance data of plan machine, serviced component and data center's infrastructure is monitored, including following process：
Utilize the status information of shell scripts collection physical machine；
By establishing the connection between virtual management storehouse and virtual machine, the resource utilization of virtual machine is obtained；
Calling and the relevant API of serviced component, obtain the status information of serviced component；
Utilize SNMP and MODBUS agreements, the status information of monitoring data center infrastructures.
6. a kind of cloud resource management method of data center as claimed in claim 5, it is characterized in that, it is described virtual by establishing
Change the connection between management storehouse and virtual machine, the method for obtaining the resource utilization of virtual machine, includes the following steps：
The connection between virtual management storehouse and virtual machine is established, obtains the ID of virtual machine；
According to the ID of virtual machine, the UUID of virtual machine is obtained using the method for inquiry；
According to the UUID of virtual machine, the API that calls virtual management storehouse to match, obtains the XML file of virtual machine；
Obtain the status information of virtual machine according to the XML file, the status information of the virtual machine include CPU state information,
Disk state information, internal storage state information and network state information；
The resource utilization of virtual machine is calculated according to the status information of the virtual machine, the resource utilization of the virtual machine includes
CPU resource utilization, hard disk resources utilization rate, memory source utilization rate and network resource utilization.
7. a kind of cloud resource management platform of data center, it is characterized in that, the cloud resource management platform includes：
Asset creation module (1), for creating a variety of cloud resources, a variety of cloud resources include virtual machine, physical machine, service group
The performance data of part and data center's infrastructure；
Information acquisition module (2), for being acquired to the information of a variety of cloud resources, and the information collected is sent to resource
Monitoring module (7)；
Resource management module (3), operation is looked into for changing to the progress additions and deletions of a variety of cloud resources；
Heartbeat management module (4), for obtaining the handshaking information of each function module by heartbeat mechanism；
Message managing module (5), feeds back for the operation to a variety of cloud resources；
Database management module (6), for being managed operation to the performance data of computing resource in a variety of cloud resources, and by this
The performance data of a little computing resources is persisted in monitor database；
Monitoring resource module (7), for being set to the physical machine of data center, virtual machine, serviced component and data center basis
Apply and be monitored；
Automated cluster stretches module (8), for according to configuration information automatic deployment destination node, and by automatic deployment destination node
Information in real time send to the block management data module (6), the destination node is physical machine or virtual machine to be added.
8. a kind of cloud resource management platform of data center as claimed in claim 7, it is characterized in that, the monitoring resource module
(7) include：
Physical machine monitoring unit, for the status information using shell scripts collection physical machine；
Virtual machine monitoring unit, for by establishing the connection between virtual management storehouse and virtual machine, obtaining the money of virtual machine
Source utilization rate；
Serviced component monitoring unit, for by calling the relevant API of serviced component, obtaining the status information of serviced component；
Data center's infrastructure monitoring unit, for the shape using SNMP and MODBUS protocol monitors data center infrastructure
State information.
9. a kind of management system of data center, the management system includes cloud resource management platform and control node server,
It is characterized in that the cloud resource management platform is the cloud resource management platform described in claim 7 or 8, the control node
Server is used to store cloud resource management platform software and node configuration software resource bag.
10. a kind of management system of data center as claimed in claim 9, it is characterized in that, the control node server is
Independently of a physical machine inside a server of data center or data center.
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