CN102170474A - Method and system for dynamic scheduling of virtual resources in cloud computing network - Google Patents

Method and system for dynamic scheduling of virtual resources in cloud computing network Download PDF

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CN102170474A
CN102170474A CN2011101019571A CN201110101957A CN102170474A CN 102170474 A CN102170474 A CN 102170474A CN 2011101019571 A CN2011101019571 A CN 2011101019571A CN 201110101957 A CN201110101957 A CN 201110101957A CN 102170474 A CN102170474 A CN 102170474A
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resource
controller
server
node controller
operation information
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李旭鹏
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GCI Science and Technology Co Ltd
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GCI Science and Technology Co Ltd
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Abstract

The invention provides a method and system for dynamic scheduling of virtual resources in a cloud computing network, the system comprises a cloud control server, a resource monitoring server, a resource scheduling server, at least one cluster controller and at least one node controller, and the method comprises: the resource monitoring server collects running information and sends the running information to the cloud control server; the node controller in which a virtual machine is positioned sends a real-time migration request to the cloud control server when achieving virtual resource bottleneck; the cloud control server sends the running information to the resource scheduling server; and the resource scheduling server searches the node controller with sufficient scheduling resources in the running information for performing real-time migration. The dynamic scheduling of the virtual resources is realized by adopting the real-time migration method, load balancing is dynamically realized, and the virtual resources in a cloud are utilized with high efficiency through the high-efficient load balancing.

Description

Virtual resource dynamic dispatching method and system in a kind of system for cloud computing
Technical field
The present invention relates to the system for cloud computing technology, relate in particular to virtual resource dynamic dispatching method and system in a kind of system for cloud computing.
Background technology
Cloud computing (Cloud Computing) is the product that grid computing (Grid Computing), Distributed Calculation (Distributed Computing), parallel computation (Parallel Computing), effectiveness calculating (Utility Computing), the network storage (Network Storage Technologies), virtual (Virtualization), load balancing traditional calculations machine technologies such as (Load Balance) and network technical development merge.It is intended to by network the relatively low computational entity of a plurality of costs is integrated into a perfect system with powerful calculating ability, and by SaaS(Software-as-a-service), PaaS(Platform-as-a-Service), IaaS(Infrastructure as a Service), MSP(Managed Service Provider) etc. advanced person's business model this powerful computing ability is distributed in terminal use's hand.How virtual resource in the cloud is utilized efficiently and be a very important problem in the cloud computing, only resolve this problem, just really effectively utilized cloud computing at last by load balancing.
Existing cloud scheduling of resource only adopts the mode of monitoring the cloud resource in real time to manage, and does not adopt real-time migration dynamically to realize load balancing, and efficient is not high.
Summary of the invention
First goal of the invention of the present invention is to provide virtual resource dynamic dispatching method in a kind of system for cloud computing.
In order to realize above-mentioned purpose, adopt following technical scheme:
Virtual resource dynamic dispatching method in a kind of system for cloud computing, described system for cloud computing comprises the cloud Control Server, the resource monitoring server, resource allocation server, cluster controller and Node Controller, the cloud Control Server respectively with the resource monitoring server, resource allocation server connects, the resource monitoring server is connected with cluster controller respectively with resource allocation server, cluster controller connects one or more Node Controllers, Node Controller is used to dispose one or more virtual machines for user capture
Described method comprises:
(1) operation information of resource monitoring server collector node controller and cluster controller, and send to the cloud Control Server, described operation information comprises the cpu instruction collection of Node Controller;
The first node controller at (2) first virtual machine places reaches the virtual resource bottleneck, and the first node controller sends the real-time migration request to the cloud Control Server;
(3) the cloud Control Server sends to resource allocation server to operation information;
(4) resource allocation server is searched one and is had enough scheduling resources and have the Section Point controller of same or analogous cpu instruction collection with the first node controller from operation information, with first virtual machine from the first node controller migration to the Section Point controller.
The first node controller directly sends the real-time migration request to the cloud Control Server, does not transmit by cluster controller and resource monitoring server.Because reach resource bottleneck is a very urgent thing, should directly send request to the cloud Control Server, should not lose time in repeating process.In daily operation, cluster controller will be collected the resource information of whole cluster, and the resource monitoring server will be accepted the resource information of whole cloud, so these two circuits can be very busy, might cause time-delay.
As a kind of preferred version, the described cloud Control Server of step (1) will receive operation information and write into cloud Control Server internal memory and record database, and the described operation information of step (3) is the operation information of writing in the cloud Control Server internal memory.The operation information that records database is used for the system manager to be consulted, and the operation information of writing into cloud Control Server internal memory is used for scheduling.Because the speed of service of internal memory is fast, the information that reads internal memory is more faster than reading database, and being used for scheduling can raise the efficiency effectively.Know the situation of whole cloud and the system manager is relatively suitable by reading database, like this safer, simultaneously also relatively flexibly, because a hypervisor is at will changed in the read data storehouse, as long as it is just passable to carry out common database read extract operation.
As a kind of preferred version, described virtual resource is CPU, internal memory and/or the disk resource of virtual machine, described operation information comprises CPU, internal memory and/or disc information, and described scheduling resource is CPU, internal memory and/or the disk resource that can be used for increasing the new virtual machine of configuration on the Node Controller.
As a kind of preferred version, in the described step (1), cluster controller is collected the operation information of connected Node Controller in Preset Time, sends to the resource monitoring server in the lump with the operation information of cluster controller self,
If cluster controller can't be collected the operation information of connected the 3rd Node Controller in Preset Time, then the machine state of the 3rd Node Controller is set to lose;
If cluster controller is collected the operation information that machine state is the 4th Node Controller lost in Preset Time, then the machine state of the 4th Node Controller is changed into and moving.
As a kind of preferred version, in the described step (2), the virtual resource bottleneck refers to the scheduling resource of first node controller
Being not enough to satisfy the virtual machine that is configured in the first node controller normally moves;
Be not enough to increase the new virtual machine of configuration.
As a kind of preferred version, in the described step (4),
If the Node Controller that resource allocation server is searched less than enough resources carries out the virtual machine real-time migration, then to cloud Control Server feedback search failure information;
If the real-time migration success, then Node Controller is to cloud Control Server feedback migration successful information.
Second goal of the invention of the present invention is to provide virtual resource dynamic scheduling system in a kind of system for cloud computing.
In order to realize above-mentioned purpose, adopt following technical scheme:
Virtual resource dynamic scheduling system in a kind of system for cloud computing, described system comprises cloud Control Server, resource monitoring server, resource allocation server, at least one cluster controller and at least one Node Controller;
The cloud Control Server is connected with resource monitoring server, resource allocation server respectively, is used for the management of whole system for cloud computing;
The resource monitoring server is connected with at least one cluster controller respectively with resource allocation server, and the resource monitoring server is used for the resource monitoring of system for cloud computing, and resource allocation server is used for the scheduling of resource of system for cloud computing;
Cluster controller connects one or more Node Controllers, and Node Controller is used to dispose one or more virtual machines for user capture.
As a kind of preferred version, described resource monitoring refers to the operation information of resource monitoring server collector node controller and cluster controller, sends to the cloud Control Server;
Described operation information comprises CPU, internal memory and/or disc information.
As a kind of preferred version, described scheduling of resource refers to that the first node controller at the first virtual machine place reaches the virtual resource bottleneck, the first node controller sends the real-time migration request to the cloud Control Server, the cloud Control Server sends to resource allocation server to operation information, resource allocation server is searched one and is had enough scheduling resources and have the Section Point controller of same or analogous cpu instruction collection with the first node controller from operation information, with first virtual machine from the first node controller migration to the Section Point controller.
As a kind of preferred version, be provided with one or more cluster controllers in the described system for cloud computing, the different Node Controllers that connect same cluster controller have same or analogous cpu instruction collection.
Compared with prior art, the present invention has adopted the method for real-time migration to realize the dynamic dispatching of virtual resource, dynamically realizes load balancing, by load balancing efficiently the virtual resource in the cloud is utilized efficiently.
Description of drawings
Fig. 1 is a system configuration schematic diagram of the present invention.
Embodiment
The invention will be further described below in conjunction with accompanying drawing.
System configuration of the present invention comprises cloud Control Server, resource monitoring server, resource allocation server, at least one cluster controller and at least one Node Controller as shown in Figure 1.
Computer entity need set the parameter of cloud Control Server earlier before inserting cloud, insert cloud then after, by network directly and the cloud Control Server incident of shaking hands.Afterwards, the system manager can be registered as resource monitoring server (cloud can only have), resource allocation server (cloud can only have), cluster controller or Node Controller with computer entity by the cloud Control Server.All computer entities all can be directly and the cloud Control Server carry out communication.
The cloud Control Server is connected with resource monitoring server, resource allocation server and at least one cluster controller respectively, is used for the management of whole system for cloud computing;
The resource monitoring server is connected with at least one cluster controller respectively with resource allocation server, and the resource monitoring server is used for the resource monitoring of system for cloud computing, and resource allocation server is used for the scheduling of resource of system for cloud computing;
Cluster controller connects one or more Node Controllers, and Node Controller is used to dispose one or more virtual machines for user capture.
The cloud Control Server is in charge of whole system for cloud computing, and externally accepts user's request.The cloud Control Server sends to the resource monitoring server at set intervals and collects the operation information instruction, the resource monitoring server sends to all cluster controllers and collects the operation information instruction, allow cluster controller collect the operation information of the Node Controller of its administration, operation information comprises ID, CPU, internal memory, disk size, residue CPU, free memory, residue disk size, machine state.
Cluster controller is collected the operation information of connected Node Controller in Preset Time, send to the resource monitoring server in the lump with the operation information of cluster controller self.If cluster controller can't be collected the operation information of connected certain Node Controller in Preset Time, then the machine state of this Node Controller is set to lose; If cluster controller is collected the operation information that machine state is the Node Controller lost in Preset Time, then the machine state of this Node Controller is changed into and moving.
The resource monitoring server at the appointed time in, the operation information of collecting is sent to the cloud Control Server.The cloud Control Server is put the operation information that receives in the internal memory into, and it is recorded on the database.
Reach the virtual resource bottleneck of setting when Node Controller after, directly to the report of cloud Control Server, real-time migration is carried out in request to Node Controller.
The cloud Control Server sends to resource allocation server with the operation information in the current internal memory after receiving the real-time migration request.Resource allocation server is after receiving the real-time migration request, from operation information, search the new host of a Node Controller as virtual machine, and startup real-time migration, with virtual machine from former host real-time migration to new host, new host has enough scheduling resources and has same or analogous cpu instruction collection with former host, and described scheduling resource is CPU, internal memory and the disk resource etc. that can be used for increasing the new virtual machine of configuration on the Node Controller.Cpu instruction collection information is regularly collected and is left on the cloud controller to cluster controller and Node Controller by the resource monitoring server, because cpu instruction collection information is all by collecting in advance, therefore collect the cpu instruction collection information that whole network is arranged on the cloud controller, thereby can when being arranged, needs easily virtual machine be moved on the new host with same or analogous cpu instruction collection from former host.
The CPU of same instructions collection refers to the CPU with a series of same models, and the CPU of similar instruction set refers to the CPU with a series of different models, and for example the CPU of Intel and AMD has cpu instruction collection inequality.And the Duo i3-530 of the Duo i3-530 processor of Intel and Intel has identical cpu instruction collection, and the Duo i3-530 of Intel and the Duo i5-2300 of Intel have similar cpu instruction collection.
After the real-time migration success, Node Controller feedback migration successful information is given the cluster controller under the Node Controller, and cluster controller feedback migration successful information is given resource allocation server, and resource allocation server feedback migration successful information is given the cloud Control Server.
If search less than the new host of the Node Controller that enough scheduling resources are arranged as virtual machine, then the feedback search failure information is given the cloud Control Server.If real-time migration failure, then Node Controller feedback migration failure information gives Node Controller affiliated cluster controller, cluster controller feedback migration failure information is given resource allocation server, and resource allocation server is searched again and moved after this Node Controller is got rid of.
The present invention can alleviate the pressure of cloud Control Server effectively, and rightly network pressure is shared on resource monitoring server and the resource allocation server from the cloud Control Server.The operation information of Node Controller gathered then to the resource monitoring server under cluster controller was constantly collected by network service.The resource monitoring server constantly by behind the operation information in the network service collection system for cloud computing, gathers to the cloud Control Server.Resource allocation server is responsible for carrying out concrete instruction after receiving the operation information that the cloud Control Server is transmitted.
Because each network service all can take a large amount of Internet resources, therefore this system configuration can reduce the number of communications of whole system for cloud computing when dynamically adjusting resource widely, has guaranteed the efficient execution of dynamic resource scheduling.

Claims (10)

1. virtual resource dynamic dispatching method in the system for cloud computing, described system for cloud computing comprises the cloud Control Server, the resource monitoring server, resource allocation server, cluster controller and Node Controller, the cloud Control Server respectively with the resource monitoring server, resource allocation server connects, the resource monitoring server is connected with cluster controller respectively with resource allocation server, cluster controller connects one or more Node Controllers, Node Controller is used to dispose one or more virtual machines for user capture
It is characterized in that described method comprises:
(1) operation information of resource monitoring server collector node controller and cluster controller, and send to the cloud Control Server, described operation information comprises the cpu instruction collection of Node Controller;
The first node controller at (2) first virtual machine places reaches the virtual resource bottleneck, and the first node controller sends the real-time migration request to the cloud Control Server;
(3) the cloud Control Server sends to resource allocation server to operation information;
(4) resource allocation server is searched one and is had enough scheduling resources and have the Section Point controller of same or analogous cpu instruction collection with the first node controller from operation information, with first virtual machine from the first node controller migration to the Section Point controller.
2. virtual resource dynamic dispatching method according to claim 1, it is characterized in that, the described cloud Control Server of step (1) will receive operation information and write into cloud Control Server internal memory and record database, and the described operation information of step (3) is the operation information of writing in the cloud Control Server internal memory.
3. virtual resource dynamic dispatching method according to claim 1, it is characterized in that, described virtual resource is CPU, internal memory and/or the disk resource of virtual machine, described operation information comprises CPU, internal memory and/or disc information, and described scheduling resource is CPU, internal memory and/or the disk resource that can be used for increasing the new virtual machine of configuration on the Node Controller.
4. virtual resource dynamic dispatching method according to claim 1, it is characterized in that in the described step (1), cluster controller is collected the operation information of connected Node Controller in Preset Time, send to the resource monitoring server in the lump with the operation information of cluster controller self
If cluster controller can't be collected the operation information of connected the 3rd Node Controller in Preset Time, then the machine state of the 3rd Node Controller is set to lose;
If cluster controller is collected the operation information that machine state is the 4th Node Controller lost in Preset Time, then the machine state of the 4th Node Controller is changed into and moving.
5. virtual resource dynamic dispatching method according to claim 1 is characterized in that, in the described step (2), the virtual resource bottleneck refers to the scheduling resource of first node controller
Being not enough to satisfy the virtual machine that is configured in the first node controller normally moves;
Be not enough to increase the new virtual machine of configuration.
6. virtual resource dynamic dispatching method according to claim 1 is characterized in that, in the described step (4),
If the Node Controller that resource allocation server is searched less than enough resources carries out the virtual machine real-time migration, then to cloud Control Server feedback search failure information;
If the real-time migration success, then Node Controller is to cloud Control Server feedback migration successful information.
7. virtual resource dynamic scheduling system in the system for cloud computing is characterized in that described system comprises cloud Control Server, resource monitoring server, resource allocation server, at least one cluster controller and at least one Node Controller;
The cloud Control Server is connected with resource monitoring server, resource allocation server respectively, is used for the management of whole system for cloud computing;
The resource monitoring server is connected with at least one cluster controller respectively with resource allocation server, and the resource monitoring server is used for the resource monitoring of system for cloud computing, and resource allocation server is used for the scheduling of resource of system for cloud computing;
Cluster controller connects one or more Node Controllers, and Node Controller is used to dispose one or more virtual machines for user capture.
8. virtual resource dynamic scheduling system according to claim 7 is characterized in that, described resource monitoring refers to the operation information of resource monitoring server collector node controller and cluster controller, sends to the cloud Control Server;
Described operation information comprises CPU, internal memory and/or disc information.
9. virtual resource dynamic scheduling system according to claim 7, it is characterized in that, described scheduling of resource refers to that the first node controller at the first virtual machine place reaches the virtual resource bottleneck, the first node controller sends the real-time migration request to the cloud Control Server, the cloud Control Server sends to resource allocation server to operation information, resource allocation server is searched one and is had enough scheduling resources and have the Section Point controller of same or analogous cpu instruction collection with the first node controller from operation information, with first virtual machine from the first node controller migration to the Section Point controller.
10. virtual resource dynamic scheduling system according to claim 7 is characterized in that, is provided with one or more cluster controllers in the described system for cloud computing, and the different Node Controllers that connect same cluster controller have same or analogous cpu instruction collection.
CN2011101019571A 2011-04-22 2011-04-22 Method and system for dynamic scheduling of virtual resources in cloud computing network Pending CN102170474A (en)

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Application publication date: 20110831